obsidian-vault-intelligence

Projects that follow the best practices below can voluntarily self-certify and show that they've achieved an Open Source Security Foundation (OpenSSF) best practices badge.

There is no set of practices that can guarantee that software will never have defects or vulnerabilities; even formal methods can fail if the specifications or assumptions are wrong. Nor is there any set of practices that can guarantee that a project will sustain a healthy and well-functioning development community. However, following best practices can help improve the results of projects. For example, some practices enable multi-person review before release, which can both help find otherwise hard-to-find technical vulnerabilities and help build trust and a desire for repeated interaction among developers from different companies. To earn a badge, all MUST and MUST NOT criteria must be met, all SHOULD criteria must be met OR be unmet with justification, and all SUGGESTED criteria must be met OR unmet (we want them considered at least). If you want to enter justification text as a generic comment, instead of being a rationale that the situation is acceptable, start the text block with '//' followed by a space. Feedback is welcome via the GitHub site as issues or pull requests There is also a mailing list for general discussion.

We gladly provide the information in several locales, however, if there is any conflict or inconsistency between the translations, the English version is the authoritative version.
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These are the Passing level criteria. You can also view the Silver or Gold level criteria.

Baseline Series: Baseline Level 1 Baseline Level 2 Baseline Level 3

        

 Basics 13/13

  • General

    Note that other projects may use the same name.

    Obsidian intelligence Vault Intelligence is a different AI plugin for Obsidian. It transforms your vault into a dynamic, self-maintaining knowledge system. It goes beyond simple Q&A by introducing agents that maintain your vault's structure, retrieve information based on your explicit connections, and ground your knowledge in the real world.

    Please use SPDX license expression format; examples include "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause", "GPL-2.0+", "LGPL-3.0+", "MIT", and "(BSD-2-Clause OR Ruby)". Do not include single quotes or double quotes.
    If there is more than one language, list them as comma-separated values (spaces optional) and sort them from most to least used. If there is a long list, please list at least the first three most common ones. If there is no language (e.g., this is a documentation-only or test-only project), use the single character "-". Please use a conventional capitalization for each language, e.g., "JavaScript".
    The Common Platform Enumeration (CPE) is a structured naming scheme for information technology systems, software, and packages. It is used in a number of systems and databases when reporting vulnerabilities.
  • Basic project website content


    The project website MUST succinctly describe what the software does (what problem does it solve?). [description_good]
    This MUST be in language that potential users can understand (e.g., it uses minimal jargon).

    The project website MUST provide information on how to: obtain, provide feedback (as bug reports or enhancements), and contribute to the software. [interact]

    The information on how to contribute MUST explain the contribution process (e.g., are pull requests used?) (URL required) [contribution]
    We presume that projects on GitHub use issues and pull requests unless otherwise noted. This information can be short, e.g., stating that the project uses pull requests, an issue tracker, or posts to a mailing list (which one?)

    The information on how to contribute SHOULD include the requirements for acceptable contributions (e.g., a reference to any required coding standard). (URL required) [contribution_requirements]
  • FLOSS license


    The software produced by the project MUST be released as FLOSS. [floss_license]
    FLOSS is software released in a way that meets the Open Source Definition or Free Software Definition. Examples of such licenses include the CC0, MIT, BSD 2-clause, BSD 3-clause revised, Apache 2.0, Lesser GNU General Public License (LGPL), and the GNU General Public License (GPL). For our purposes, this means that the license MUST be: The software MAY also be licensed other ways (e.g., "GPLv2 or proprietary" is acceptable).

    The MIT license is approved by the Open Source Initiative (OSI).



    It is SUGGESTED that any required license(s) for the software produced by the project be approved by the Open Source Initiative (OSI). [floss_license_osi]
    The OSI uses a rigorous approval process to determine which licenses are OSS.

    The MIT license is approved by the Open Source Initiative (OSI).



    The project MUST post the license(s) of its results in a standard location in their source repository. (URL required) [license_location]
    One convention is posting the license as a top-level file named LICENSE or COPYING, which MAY be followed by an extension such as ".txt" or ".md". An alternative convention is to have a directory named LICENSES containing license file(s); these files are typically named as their SPDX license identifier followed by an appropriate file extension, as described in the REUSE Specification. Note that this criterion is only a requirement on the source repository. You do NOT need to include the license file when generating something from the source code (such as an executable, package, or container). For example, when generating an R package for the Comprehensive R Archive Network (CRAN), follow standard CRAN practice: if the license is a standard license, use the standard short license specification (to avoid installing yet another copy of the text) and list the LICENSE file in an exclusion file such as .Rbuildignore. Similarly, when creating a Debian package, you may put a link in the copyright file to the license text in /usr/share/common-licenses, and exclude the license file from the created package (e.g., by deleting the file after calling dh_auto_install). We encourage including machine-readable license information in generated formats where practical.

    Non-trivial license location file in repository: https://github.com/cybaea/obsidian-vault-intelligence/blob/main/LICENSE.


  • Documentation


    The project MUST provide basic documentation for the software produced by the project. [documentation_basics]
    This documentation must be in some media (such as text or video) that includes: how to install it, how to start it, how to use it (possibly with a tutorial using examples), and how to use it securely (e.g., what to do and what not to do) if that is an appropriate topic for the software. The security documentation need not be long. The project MAY use hypertext links to non-project material as documentation. If the project does not produce software, choose "not applicable" (N/A).

    Some documentation basics file contents found.



    The project MUST provide reference documentation that describes the external interface (both input and output) of the software produced by the project. [documentation_interface]
    The documentation of an external interface explains to an end-user or developer how to use it. This would include its application program interface (API) if the software has one. If it is a library, document the major classes/types and methods/functions that can be called. If it is a web application, define its URL interface (often its REST interface). If it is a command-line interface, document the parameters and options it supports. In many cases it's best if most of this documentation is automatically generated, so that this documentation stays synchronized with the software as it changes, but this isn't required. The project MAY use hypertext links to non-project material as documentation. Documentation MAY be automatically generated (where practical this is often the best way to do so). Documentation of a REST interface may be generated using Swagger/OpenAPI. Code interface documentation MAY be generated using tools such as JSDoc (JavaScript), ESDoc (JavaScript), pydoc (Python), devtools (R), pkgdown (R), and Doxygen (many). Merely having comments in implementation code is not sufficient to satisfy this criterion; there needs to be an easy way to see the information without reading through all the source code. If the project does not produce software, choose "not applicable" (N/A).
  • Other


    The project sites (website, repository, and download URLs) MUST support HTTPS using TLS. [sites_https]
    This requires that the project home page URL and the version control repository URL begin with "https:", not "http:". You can get free certificates from Let's Encrypt. Projects MAY implement this criterion using (for example) GitHub pages, GitLab pages, or SourceForge project pages. If you support HTTP, we urge you to redirect the HTTP traffic to HTTPS.

    Given only https: URLs.



    The project MUST have one or more mechanisms for discussion (including proposed changes and issues) that are searchable, allow messages and topics to be addressed by URL, enable new people to participate in some of the discussions, and do not require client-side installation of proprietary software. [discussion]
    Examples of acceptable mechanisms include archived mailing list(s), GitHub issue and pull request discussions, Bugzilla, Mantis, and Trac. Asynchronous discussion mechanisms (like IRC) are acceptable if they meet these criteria; make sure there is a URL-addressable archiving mechanism. Proprietary JavaScript, while discouraged, is permitted.

    GitHub supports discussions on issues and pull requests.



    The project SHOULD provide documentation in English and be able to accept bug reports and comments about code in English. [english]
    English is currently the lingua franca of computer technology; supporting English increases the number of different potential developers and reviewers worldwide. A project can meet this criterion even if its core developers' primary language is not English.


    The project MUST be maintained. [maintained]
    As a minimum, the project should attempt to respond to significant problem and vulnerability reports. A project that is actively pursuing a badge is probably maintained. All projects and people have limited resources, and typical projects must reject some proposed changes, so limited resources and proposal rejections do not by themselves indicate an unmaintained project.

    When a project knows that it will no longer be maintained, it should set this criterion to "Unmet" and use the appropriate mechanism(s) to indicate to others that it is not being maintained. For example, use “DEPRECATED” as the first heading of its README, add “DEPRECATED” near the beginning of its home page, add “DEPRECATED” to the beginning of its code repository project description, add a no-maintenance-intended badge in its README and/or home page, mark it as deprecated in any package repositories (e.g., npm deprecate), and/or use the code repository's marking system to archive it (e.g., GitHub's "archive" setting, GitLab’s "archived" marking, Gerrit's "readonly" status, or SourceForge’s "abandoned" project status). Additional discussion can be found here.

 Change Control 9/9

  • Public version-controlled source repository


    The project MUST have a version-controlled source repository that is publicly readable and has a URL. [repo_public]
    The URL MAY be the same as the project URL. The project MAY use private (non-public) branches in specific cases while the change is not publicly released (e.g., for fixing a vulnerability before it is revealed to the public).

    Repository on GitHub, which provides public git repositories with URLs.



    The project's source repository MUST track what changes were made, who made the changes, and when the changes were made. [repo_track]

    Repository on GitHub, which uses git. git can track the changes, who made them, and when they were made.



    To enable collaborative review, the project's source repository MUST include interim versions for review between releases; it MUST NOT include only final releases. [repo_interim]
    Projects MAY choose to omit specific interim versions from their public source repositories (e.g., ones that fix specific non-public security vulnerabilities, may never be publicly released, or include material that cannot be legally posted and are not in the final release).

    The project follows an open development model where all 'interim' work is conducted via public feature branches and Pull Requests. Commits are pushed iteratively to the GitHub repository, allowing for collaborative review throughout the development cycle, well before a final release tag is created.



    It is SUGGESTED that common distributed version control software be used (e.g., git) for the project's source repository. [repo_distributed]
    Git is not specifically required and projects can use centralized version control software (such as subversion) with justification.

    Repository on GitHub, which uses git. git is distributed.


  • Unique version numbering


    The project results MUST have a unique version identifier for each release intended to be used by users. [version_unique]
    This MAY be met in a variety of ways including a commit IDs (such as git commit id or mercurial changeset id) or a version number (including version numbers that use semantic versioning or date-based schemes like YYYYMMDD).


    It is SUGGESTED that the Semantic Versioning (SemVer) or Calendar Versioning (CalVer) version numbering format be used for releases. It is SUGGESTED that those who use CalVer include a micro level value. [version_semver]
    Projects should generally prefer whatever format is expected by their users, e.g., because it is the normal format used by their ecosystem. Many ecosystems prefer SemVer, and SemVer is generally preferred for application programmer interfaces (APIs) and software development kits (SDKs). CalVer tends to be used by projects that are large, have an unusually large number of independently-developed dependencies, have a constantly-changing scope, or are time-sensitive. It is SUGGESTED that those who use CalVer include a micro level value, because including a micro level supports simultaneously-maintained branches whenever that becomes necessary. Other version numbering formats may be used as version numbers, including git commit IDs or mercurial changeset IDs, as long as they uniquely identify versions. However, some alternatives (such as git commit IDs) can cause problems as release identifiers, because users may not be able to easily determine if they are up-to-date. The version ID format may be unimportant for identifying software releases if all recipients only run the latest version (e.g., it is the code for a single website or internet service that is constantly updated via continuous delivery).


    It is SUGGESTED that projects identify each release within their version control system. For example, it is SUGGESTED that those using git identify each release using git tags. [version_tags]
  • Release notes


    The project MUST provide, in each release, release notes that are a human-readable summary of major changes in that release to help users determine if they should upgrade and what the upgrade impact will be. The release notes MUST NOT be the raw output of a version control log (e.g., the "git log" command results are not release notes). Projects whose results are not intended for reuse in multiple locations (such as the software for a single website or service) AND employ continuous delivery MAY select "N/A". (URL required) [release_notes]
    The release notes MAY be implemented in a variety of ways. Many projects provide them in a file named "NEWS", "CHANGELOG", or "ChangeLog", optionally with extensions such as ".txt", ".md", or ".html". Historically the term "change log" meant a log of every change, but to meet these criteria what is needed is a human-readable summary. The release notes MAY instead be provided by version control system mechanisms such as the GitHub Releases workflow.

    The release notes MUST identify every publicly known run-time vulnerability fixed in this release that already had a CVE assignment or similar when the release was created. This criterion may be marked as not applicable (N/A) if users typically cannot practically update the software themselves (e.g., as is often true for kernel updates). This criterion applies only to the project results, not to its dependencies. If there are no release notes or there have been no publicly known vulnerabilities, choose N/A. [release_notes_vulns]
    This criterion helps users determine if a given update will fix a vulnerability that is publicly known, to help users make an informed decision about updating. If users typically cannot practically update the software themselves on their computers, but must instead depend on one or more intermediaries to perform the update (as is often the case for a kernel and low-level software that is intertwined with a kernel), the project may choose "not applicable" (N/A) instead, since this additional information will not be helpful to those users. Similarly, a project may choose N/A if all recipients only run the latest version (e.g., it is the code for a single website or internet service that is constantly updated via continuous delivery). This criterion only applies to the project results, not its dependencies. Listing the vulnerabilities of all transitive dependencies of a project becomes unwieldy as dependencies increase and vary, and is unnecessary since tools that examine and track dependencies can do this in a more scalable way.

    Our project uses a structured CHANGELOG.md following the 'Keep a Changelog' format. We have a policy of explicitly identifying security remediations using standard identifiers (CVE or GHSA IDs). For example, the 9.3.1 release explicitly identifies the remediation of GHSA-w5hq-g745-h8pq.


 Reporting 8/8

  • Bug-reporting process


    The project MUST provide a process for users to submit bug reports (e.g., using an issue tracker or a mailing list). (URL required) [report_process]

    Non-trivial SECURITY[.md] file found file in repository: https://github.com/cybaea/obsidian-vault-intelligence/blob/main/SECURITY.md. [osps_do_02_01]



    The project SHOULD use an issue tracker for tracking individual issues. [report_tracker]

    The project MUST acknowledge a majority of bug reports submitted in the last 2-12 months (inclusive); the response need not include a fix. [report_responses]

    Most issues are feature enhancements. Bug reports are all fixed.



    The project SHOULD respond to a majority (>50%) of enhancement requests in the last 2-12 months (inclusive). [enhancement_responses]
    The response MAY be 'no' or a discussion about its merits. The goal is simply that there be some response to some requests, which indicates that the project is still alive. For purposes of this criterion, projects need not count fake requests (e.g., from spammers or automated systems). If a project is no longer making enhancements, please select "unmet" and include the URL that makes this situation clear to users. If a project tends to be overwhelmed by the number of enhancement requests, please select "unmet" and explain.

    The project MUST have a publicly available archive for reports and responses for later searching. (URL required) [report_archive]
    1. Security Vulnerabilities: We use GitHub Security Advisories. Once a vulnerability is remediated and the advisory is published, it is permanently archived and searchable in the public GitHub Advisory Database.
    2. General Bugs/Reports: We use GitHub Issues. All historical bug reports, feature requests, and their corresponding discussions (responses) are publicly archived and fully searchable via the GitHub interface. https://github.com/cybaea/obsidian-vault-intelligence/issues?q=is%3Aissue

  • Vulnerability report process


    The project MUST publish the process for reporting vulnerabilities on the project site. (URL required) [vulnerability_report_process]
    Projects hosted on GitHub SHOULD consider enabling privately reporting a security vulnerability. Projects on GitLab SHOULD consider using its ability for privately reporting a vulnerability. Projects MAY identify a mailing address on https://PROJECTSITE/security, often in the form security@example.org. This vulnerability reporting process MAY be the same as its bug reporting process. Vulnerability reports MAY always be public, but many projects have a private vulnerability reporting mechanism.

    The vulnerability reporting process is published both in the repository's SECURITY.md file and as a dedicated 'Security Policy' page on the official project documentation site (https://cybaea.github.io/obsidian-vault-intelligence/SECURITY). The process includes instructions for both public (GitHub Advisories) and private (email) reporting.



    If private vulnerability reports are supported, the project MUST include how to send the information in a way that is kept private. (URL required) [vulnerability_report_private]
    Examples include a private defect report submitted on the web using HTTPS (TLS) or an email encrypted using OpenPGP. If vulnerability reports are always public (so there are never private vulnerability reports), choose "not applicable" (N/A).

    As above: The vulnerability reporting process is published both in the repository's SECURITY.md file and as a dedicated 'Security Policy' page on the official project documentation site (https://cybaea.github.io/obsidian-vault-intelligence/SECURITY). The process includes instructions for both public (GitHub Advisories) and private (email) reporting.



    The project's initial response time for any vulnerability report received in the last 6 months MUST be less than or equal to 14 days. [vulnerability_report_response]
    If there have been no vulnerabilities reported in the last 6 months, choose "not applicable" (N/A).

    The project has not received any external vulnerability reports in the last 6 months. However, our published Security Policy commits to an acknowledgement of all reports within 48 hours, well within the 14-day requirement.


 Quality 13/13

  • Working build system


    If the software produced by the project requires building for use, the project MUST provide a working build system that can automatically rebuild the software from source code. [build]
    A build system determines what actions need to occur to rebuild the software (and in what order), and then performs those steps. For example, it can invoke a compiler to compile the source code. If an executable is created from source code, it must be possible to modify the project's source code and then generate an updated executable with those modifications. If the software produced by the project depends on external libraries, the build system does not need to build those external libraries. If there is no need to build anything to use the software after its source code is modified, select "not applicable" (N/A).

    The project provides a fully automated build system using npm and esbuild (https://github.com/cybaea/obsidian-vault-intelligence/blob/main/esbuild.config.mjs). The command npm run build performs all necessary steps to compile the TypeScript source code, inline web workers, and bundle the final JavaScript artifact for use in Obsidian. The build process is documented in https://github.com/cybaea/obsidian-vault-intelligence/blob/main/CONTRIBUTING.md and verified in the project's CI/CD pipeline (https://github.com/cybaea/obsidian-vault-intelligence/blob/main/.github/workflows/lint.yml).



    It is SUGGESTED that common tools be used for building the software. [build_common_tools]
    For example, Maven, Ant, cmake, the autotools, make, rake (Ruby), or devtools (R).

    The project uses npm (Node Package Manager) as its primary build orchestration tool and esbuild for bundling. Both are standard, open-source tools in the TypeScript ecosystem. The build is triggered via the industry-standard npm run build command.



    The project SHOULD be buildable using only FLOSS tools. [build_floss_tools]

    The project uses npm (Node Package Manager) as its primary build orchestration tool and esbuild for bundling. Both are standard, open-source tools in the TypeScript ecosystem. The build is triggered via the industry-standard npm run build command."


  • Automated test suite


    The project MUST use at least one automated test suite that is publicly released as FLOSS (this test suite may be maintained as a separate FLOSS project). The project MUST clearly show or document how to run the test suite(s) (e.g., via a continuous integration (CI) script or via documentation in files such as BUILD.md, README.md, or CONTRIBUTING.md). [test]
    The project MAY use multiple automated test suites (e.g., one that runs quickly, vs. another that is more thorough but requires special equipment). There are many test frameworks and test support systems available, including Selenium (web browser automation), Junit (JVM, Java), RUnit (R), testthat (R).

    The project uses the open-source Vitest testing framework. The test suite is fully automated and can be executed by anyone using the command npm run test. Execution instructions are provided in https://github.com/cybaea/obsidian-vault-intelligence/blob/main/CONTRIBUTING.md, and the tests are automatically run as a mandatory status check for all Pull Requests via GitHub Actions.



    A test suite SHOULD be invocable in a standard way for that language. [test_invocation]
    For example, "make check", "mvn test", or "rake test" (Ruby).

    Compliant; npm run test is the standard way for Typescript.



    It is SUGGESTED that the test suite cover most (or ideally all) the code branches, input fields, and functionality. [test_most]

    The project maintains an extensive automated test suite of over 280 tests covering core logic, worker-based processing, and service orchestration. We prioritize 'high-risk' code paths, including vector indexing and multi-threaded communication. Test coverage is verified on every commit, and we maintain a policy of adding new tests for every bug fix and feature to prevent regressions. https://github.com/cybaea/obsidian-vault-intelligence/tree/main/tests



    It is SUGGESTED that the project implement continuous integration (where new or changed code is frequently integrated into a central code repository and automated tests are run on the result). [test_continuous_integration]

    The project uses GitHub Actions for Continuous Integration (documented in our https://github.com/cybaea/obsidian-vault-intelligence/tree/main/.github/workflows ) . To ensure builds are 100% deterministic and reproducible, our CI pipeline uses npm ci rather than npm install. This guarantees that automated tests are always run against the exact dependency tree defined in our lockfile, preventing 'it works on my machine' inconsistencies.


  • New functionality testing


    The project MUST have a general policy (formal or not) that as major new functionality is added to the software produced by the project, tests of that functionality should be added to an automated test suite. [test_policy]
    As long as a policy is in place, even by word of mouth, that says developers should add tests to the automated test suite for major new functionality, select "Met."

    The project has a formal testing policy documented in CONTRIBUTING.md. This policy mandates that all major new functionality and bug fixes must include corresponding automated tests. This requirement is enforced by the project's CI pipeline, which blocks the integration of any code that fails existing or new tests. https://github.com/cybaea/obsidian-vault-intelligence/blob/main/CONTRIBUTING.md



    The project MUST have evidence that the test_policy for adding tests has been adhered to in the most recent major changes to the software produced by the project. [tests_are_added]
    Major functionality would typically be mentioned in the release notes. Perfection is not required, merely evidence that tests are typically being added in practice to the automated test suite when new major functionality is added to the software produced by the project.

    Evidence of adherence to our testing policy can be found in our recent major feature Pull Requests. For example, in PR #420 https://github.com/cybaea/obsidian-vault-intelligence/pull/420, which added custom HTTP header support, the developer simultaneously updated the project's testing mocks and documentation to ensure the new functionality was fully verifiable. Furthermore, our CI history publicly shows that every major change in the last 6 months has passed a comprehensive battery of over 280 automated tests before being merged into the main branch.



    It is SUGGESTED that this policy on adding tests (see test_policy) be documented in the instructions for change proposals. [tests_documented_added]
    However, even an informal rule is acceptable as long as the tests are being added in practice.

    The project's policy for adding tests is formally documented in the CONTRIBUTING.md file, which serves as the primary instruction set for all contributors. The policy explicitly mandates that new functionality and bug fixes must be accompanied by automated tests, and it is positioned as a mandatory step in the submission and review process.


  • Warning flags


    The project MUST enable one or more compiler warning flags, a "safe" language mode, or use a separate "linter" tool to look for code quality errors or common simple mistakes, if there is at least one FLOSS tool that can implement this criterion in the selected language. [warnings]
    Examples of compiler warning flags include gcc/clang "-Wall". Examples of a "safe" language mode include JavaScript "use strict" and perl5's "use warnings". A separate "linter" tool is simply a tool that examines the source code to look for code quality errors or common simple mistakes. These are typically enabled within the source code or build instructions.

    The project uses a dual-layer static analysis approach. First, we use the TypeScript compiler in 'strict' mode to enforce type safety and catch common logic errors during compilation. Second, we use ESLint with a highly strict configuration (including typescript-eslint and eslint-plugin-perfectionist) to enforce code quality and style standards. These checks are integrated into our CI/CD pipeline, and any violation (even a single warning) will block the build and prevent merging.



    The project MUST address warnings. [warnings_fixed]
    These are the warnings identified by the implementation of the warnings criterion. The project should fix warnings or mark them in the source code as false positives. Ideally there would be no warnings, but a project MAY accept some warnings (typically less than 1 warning per 100 lines or less than 10 warnings).

    The project has a zero-tolerance policy for code warnings. Our Continuous Integration pipeline is configured with --max-warnings 0 for our linting process, ensuring that any Pull Request with even a single identified warning is blocked from merging. This forces developers to either fix the issue or explicitly document it as a false positive using standard in-code annotations (which we only permit in test files for mocking purposes). As a result, the main branch is maintained in a warning-free state.



    It is SUGGESTED that projects be maximally strict with warnings in the software produced by the project, where practical. [warnings_strict]
    Some warnings cannot be effectively enabled on some projects. What is needed is evidence that the project is striving to enable warning flags where it can, so that errors are detected early.

    The project strives for maximum strictness in its build and linting configuration. We use the TypeScript compiler in 'strict' mode (see tsconfig.json), which enforces rigorous type safety across the entire codebase. Our ESLint configuration is likewise tuned to maximum strictness, utilizing specialized plugins like typescript-eslint and perfectionist to catch not just functional errors, but also maintainability issues. All such checks are enforced by our CI pipeline with a zero-warning failure policy, ensuring that the highest possible quality is maintained automatically.


 Security 16/16

  • Secure development knowledge


    The project MUST have at least one primary developer who knows how to design secure software. (See ‘details’ for the exact requirements.) [know_secure_design]
    This requires understanding the following design principles, including the 8 principles from Saltzer and Schroeder:
    • economy of mechanism (keep the design as simple and small as practical, e.g., by adopting sweeping simplifications)
    • fail-safe defaults (access decisions should deny by default, and projects' installation should be secure by default)
    • complete mediation (every access that might be limited must be checked for authority and be non-bypassable)
    • open design (security mechanisms should not depend on attacker ignorance of its design, but instead on more easily protected and changed information like keys and passwords)
    • separation of privilege (ideally, access to important objects should depend on more than one condition, so that defeating one protection system won't enable complete access. E.G., multi-factor authentication, such as requiring both a password and a hardware token, is stronger than single-factor authentication)
    • least privilege (processes should operate with the least privilege necessary)
    • least common mechanism (the design should minimize the mechanisms common to more than one user and depended on by all users, e.g., directories for temporary files)
    • psychological acceptability (the human interface must be designed for ease of use - designing for "least astonishment" can help)
    • limited attack surface (the attack surface - the set of the different points where an attacker can try to enter or extract data - should be limited)
    • input validation with allowlists (inputs should typically be checked to determine if they are valid before they are accepted; this validation should use allowlists (which only accept known-good values), not denylists (which attempt to list known-bad values)).
    A "primary developer" in a project is anyone who is familiar with the project's code base, is comfortable making changes to it, and is acknowledged as such by most other participants in the project. A primary developer would typically make a number of contributions over the past year (via code, documentation, or answering questions). Developers would typically be considered primary developers if they initiated the project (and have not left the project more than three years ago), have the option of receiving information on a private vulnerability reporting channel (if there is one), can accept commits on behalf of the project, or perform final releases of the project software. If there is only one developer, that individual is the primary developer. Many books and courses are available to help you understand how to develop more secure software and discuss design. For example, the Secure Software Development Fundamentals course is a free set of three courses that explain how to develop more secure software (it's free if you audit it; for an extra fee you can earn a certificate to prove you learned the material).

    The primary developer (Allan Engelhardt) has demonstrated expertise in secure design through the iterative hardening of the project. This is evidenced by the project's 'Security and Robustness' guide (devs/security-and-robustness.md), which explicitly discusses attack surface reduction and input validation. Recent project updates have implemented the principle of Least Privilege (hardened GitHub Action permissions), Separation of Privilege (migration to Obsidian SecretStorage for API keys), and Complete Mediation (unified file access through service facades). The developer's commitment to secure supply chain practices is further evidenced by the implementation of signed commits and automated vulnerability remediation (GHSA-w5hq-g745-h8pq).

    If you (really) need more:

    Evidence Mapping

    Principle Evidence in Our project
    Economy of Mechanism Our Service-Oriented Architecture (SOA) (defined in devs/ARCHITECTURE_AND_STANDARDS.md) keeps the design simple and modular,
    separating complex "AI Agent" logic from "Obsidian UI" logic.
    Fail-Safe Defaults The plugin follows a Local-First philosophy. It defaults to private, local processing unless the user explicitly configures a cloud
    provider.
    Complete Mediation All file and data access is mediated through the VaultManager and PersistenceManager services. Agents cannot write directly to the
    file system; they must use specialized tools that validate every path.
    Open Design Our security policy, architecture docs, and CI workflows are all public. We do not rely on "security by obscurity"; We rely on
    hardened GitHub permissions and signed commits.
    Separation of Privilege We recently migrated sensitive API keys to SecretStorage while keeping non-sensitive metadata in the standard data.json. This
    separates "secret" data from "configuration" data.
    Least Privilege We just hardened Our GitHub Actions with permissions: read-all at the top level, explicitly granting write access only to the
    specific jobs that need it (e.g., tagging or releases).
    Least Common Mechanism The plugin stores its internal index and shadow graph in a isolated .vault-intelligence directory, minimizing the shared state
    with other Obsidian plugins or core vault functionality.
    Psychological Acceptability Our UI follows Obsidian's "Least Astonishment" principles, using standard CSS variables and sentence case so that security settings
    (like API key entry) are intuitive and predictable for the user.
    Limited Attack Surface By moving to Local Embeddings (Transformers.js), We significantly reduced the attack surface by eliminating the need for external
    network calls to third-party APIs for core search functionality.
    Input Validation (Allowlists) Our ToolRegistry and VaultManager use Allowlists for file extensions (e.g., only processing .md files) and directory paths to
    prevent path traversal attacks.


    At least one of the project's primary developers MUST know of common kinds of errors that lead to vulnerabilities in this kind of software, as well as at least one method to counter or mitigate each of them. [know_common_errors]
    Examples (depending on the type of software) include SQL injection, OS injection, classic buffer overflow, cross-site scripting, missing authentication, and missing authorization. See the CWE/SANS top 25 or OWASP Top 10 for commonly used lists. Many books and courses are available to help you understand how to develop more secure software and discuss common implementation errors that lead to vulnerabilities. For example, the Secure Software Development Fundamentals course is a free set of three courses that explain how to develop more secure software (it's free if you audit it; for an extra fee you can earn a certificate to prove you learned the material).

    The project's primary developer has deep knowledge of common software vulnerabilities (OWASP Top 10 / SANS Top 25) and has implemented specific, documented mitigations for them within the plugin architecture. This is evidenced by our 'Security and Robustness' architectural guide (devs/security-and-robustness.md).

    A standout example of our secure design is the MCP Trust Hashing mechanism. Recognizing that plugin configuration files are often synchronized across untrusted channels, we implemented a cryptographic SHA-256 fingerprinting system for all external tool configurations. If a configuration is altered (e.g., via a malicious sync), the plugin detects the hash mismatch and hard-blocks execution until a human developer performs a manual review and re-approval. This effectively mitigates Remote Code Execution (RCE) attacks originating from configuration tampering. -- https://github.com/cybaea/obsidian-vault-intelligence/blob/main/src/services/McpClientManager.ts#L94-L103

    See also https://github.com/cybaea/obsidian-vault-intelligence/blob/main/devs/security-and-robustness.md

    Other key examples include:

    • Command Injection: We strictly prohibit string-based shell execution (exec). Instead, we use child_process.spawn with explicit argument arrays, mathematically eliminating injection via shell metacharacters.
    • SSRF (Server-Side Request Forgery): We have implemented a custom URL firewall that uses a 'Default Deny' policy for local network IPs, loopback addresses, and cloud metadata endpoints (e.g., 169.254.169.254).
    • DNS Rebinding: We enforce HTTPS for all AI-initiated network requests, leveraging Chromium’s native TLS/SNI handshakes to neutralize rebinding attacks.
    • Path Traversal: All LLM-generated paths are normalized and stripped of leading slashes to prevent escaping the vault boundaries.
    • Regular Expression Denial of Service (ReDoS): All Markdown parsing regexes have been audited to eliminate deep nesting and unbounded repetition, preventing catastrophic backtracking.
    • Broken Access Control: We use Obsidian's native SecretStorage for API keys to prevent credential leakage through vault sync services.

    These mitigations are not just theoretical; they are integrated into the project's core services and are verified by our automated test suite.


  • Use basic good cryptographic practices

    Note that some software does not need to use cryptographic mechanisms. If your project produces software that (1) includes, activates, or enables encryption functionality, and (2) might be released from the United States (US) to outside the US or to a non-US-citizen, you may be legally required to take a few extra steps. Typically this just involves sending an email. For more information, see the encryption section of Understanding Open Source Technology & US Export Controls.

    The software produced by the project MUST use, by default, only cryptographic protocols and algorithms that are publicly published and reviewed by experts (if cryptographic protocols and algorithms are used). [crypto_published]
    These cryptographic criteria do not always apply because some software has no need to directly use cryptographic capabilities.

    ll cryptographic operations in the project utilize publicly published and expert-reviewed algorithms. Specifically, we use SHA-256 for configuration integrity checks. Our implementation relies on the standard Web Crypto API (via the host environment's Chromium engine), which is a widely audited and industry-standard interface. We do not use any custom or proprietary cryptography.

    Link 1: Use of Expert-Reviewed SHA-256

    Link 2: Use of Native OS Security Protocols

    • Link: src/main.ts#L115-L125 (approximate lines where SecretStorage is handled)
    • Evidence: Shows the integration with Obsidian's secretStorage, which leverages the operating system's native keychain (macOS Keychain, Windows Credential Manager, etc.) to handle encryption keys according to platform-standard security protocols.


    If the software produced by the project is an application or library, and its primary purpose is not to implement cryptography, then it SHOULD only call on software specifically designed to implement cryptographic functions; it SHOULD NOT re-implement its own. [crypto_call]

    The project follows the best practice of delegating all cryptographic operations to specialized, environment-provided security modules. We do not re-implement any cryptographic functions. Instead, we utilize the native Web Crypto API for configuration integrity and the host environment's SecretStorage (delegating to the OS keychain) for credential management. See links in previous answer.



    All functionality in the software produced by the project that depends on cryptography MUST be implementable using FLOSS. [crypto_floss]

    All cryptographic functionality in the project is implemented using standard, open algorithms (like SHA-256) that are natively supported by 100% FLOSS environments. The plugin is fully functional on Linux using open-source implementations of the Web Crypto API and OS-level keyrings (e.g., libsecret). No proprietary hardware or closed-source libraries are required for the project's cryptographic features to operate.



    The security mechanisms within the software produced by the project MUST use default keylengths that at least meet the NIST minimum requirements through the year 2030 (as stated in 2012). It MUST be possible to configure the software so that smaller keylengths are completely disabled. [crypto_keylength]
    These minimum bitlengths are: symmetric key 112, factoring modulus 2048, discrete logarithm key 224, discrete logarithmic group 2048, elliptic curve 224, and hash 224 (password hashing is not covered by this bitlength, more information on password hashing can be found in the crypto_password_storage criterion). See https://www.keylength.com for a comparison of keylength recommendations from various organizations. The software MAY allow smaller keylengths in some configurations (ideally it would not, since this allows downgrade attacks, but shorter keylengths are sometimes necessary for interoperability).

    The project ensures all cryptographic keylengths and algorithms meet or exceed NIST requirements through 2030. We use SHA-256 for all data integrity checks, which provides 256 bits of security strength. For credential storage, we utilize the OS-native keychain via the SecretStorage API, which enforces high-bit-length encryption by default. Insecure algorithms with smaller keylengths (like MD5 or SHA-1) are not supported or implemented within the project.



    The default security mechanisms within the software produced by the project MUST NOT depend on broken cryptographic algorithms (e.g., MD4, MD5, single DES, RC4, Dual_EC_DRBG), or use cipher modes that are inappropriate to the context, unless they are necessary to implement an interoperable protocol (where the protocol implemented is the most recent version of that standard broadly supported by the network ecosystem, that ecosystem requires the use of such an algorithm or mode, and that ecosystem does not offer any more secure alternative). The documentation MUST describe any relevant security risks and any known mitigations if these broken algorithms or modes are necessary for an interoperable protocol. [crypto_working]
    ECB mode is almost never appropriate because it reveals identical blocks within the ciphertext as demonstrated by the ECB penguin, and CTR mode is often inappropriate because it does not perform authentication and causes duplicates if the input state is repeated. In many cases it's best to choose a block cipher algorithm mode designed to combine secrecy and authentication, e.g., Galois/Counter Mode (GCM) and EAX. Projects MAY allow users to enable broken mechanisms (e.g., during configuration) where necessary for compatibility, but then users know they're doing it.

    The project does not use any broken or deprecated cryptographic algorithms. We have standardized on SHA-256 for all integrity checks and delegate credential encryption to modern, audited OS-level subsystems (via SecretStorage). Legacy or broken algorithms like MD5, SHA-1, or DES are explicitly avoided, and no interoperability requirements exist that would force their use.



    The default security mechanisms within the software produced by the project SHOULD NOT depend on cryptographic algorithms or modes with known serious weaknesses (e.g., the SHA-1 cryptographic hash algorithm or the CBC mode in SSH). [crypto_weaknesses]
    Concerns about CBC mode in SSH are discussed in CERT: SSH CBC vulnerability.

    The project proactively avoids cryptographic algorithms and modes with known weaknesses. We have specifically selected SHA-256 for all data integrity and configuration hashing tasks, explicitly avoiding weaker alternatives like SHA-1. All our security-critical operations are built on modern, secure-by-default primitives provided by the Web Crypto API and the OS Keychain.



    The security mechanisms within the software produced by the project SHOULD implement perfect forward secrecy for key agreement protocols so a session key derived from a set of long-term keys cannot be compromised if one of the long-term keys is compromised in the future. [crypto_pfs]

    The project is a local-first application and does not implement its own key agreement or communication protocols. All network communication with AI providers is conducted over standard HTTPS/TLS, which is managed by the host environment's Chromium engine. Therefore, Perfect Forward Secrecy is handled at the transport layer by the host, and is not applicable to the plugin's internal logic.



    If the software produced by the project causes the storing of passwords for authentication of external users, the passwords MUST be stored as iterated hashes with a per-user salt by using a key stretching (iterated) algorithm (e.g., Argon2id, Bcrypt, Scrypt, or PBKDF2). See also OWASP Password Storage Cheat Sheet. [crypto_password_storage]
    This criterion applies only when the software is enforcing authentication of users using passwords for external users (aka inbound authentication), such as server-side web applications. It does not apply in cases where the software stores passwords for authenticating into other systems (aka outbound authentication, e.g., the software implements a client for some other system), since at least parts of that software must have often access to the unhashed password.

    The project is a single-user local application and does not manage, store, or authenticate external user accounts or passwords. For the storage of third-party service credentials (API keys), we use the host environment's secure SecretStorage (OS Keychain) rather than a local database.



    The security mechanisms within the software produced by the project MUST generate all cryptographic keys and nonces using a cryptographically secure random number generator, and MUST NOT do so using generators that are cryptographically insecure. [crypto_random]
    A cryptographically secure random number generator may be a hardware random number generator, or it may be a cryptographically secure pseudo-random number generator (CSPRNG) using an algorithm such as Hash_DRBG, HMAC_DRBG, CTR_DRBG, Yarrow, or Fortuna. Examples of calls to secure random number generators include Java's java.security.SecureRandom and JavaScript's window.crypto.getRandomValues. Examples of calls to insecure random number generators include Java's java.util.Random and JavaScript's Math.random.

    The project delegates all sensitive random number generation to the host environment's native, cryptographically secure random number generators (CSPRNGs). We use the Web Crypto API (crypto.getRandomValues()) or the Node.js crypto module, both of which are backed by the operating system's entropy sources. We do not use insecure generators like Math.random() for security-critical operations.


  • Secured delivery against man-in-the-middle (MITM) attacks


    The project MUST use a delivery mechanism that counters MITM attacks. Using https or ssh+scp is acceptable. [delivery_mitm]
    An even stronger mechanism is releasing the software with digitally signed packages, since that mitigates attacks on the distribution system, but this only works if the users can be confident that the public keys for signatures are correct and if the users will actually check the signature.

    Distribution channels use HTTPS exclusively. [osps_br_03_02]



    A cryptographic hash (e.g., a sha1sum) MUST NOT be retrieved over http and used without checking for a cryptographic signature. [delivery_unsigned]
    These hashes can be modified in transit.

    The project ensures all software and data delivery is secured against Man-in-the-Middle (MITM) attacks. We do not retrieve any code, dependencies, or cryptographic hashes over unencrypted HTTP. Our dependency management (via npm) and our asset retrieval (via Hugging Face) are conducted exclusively over HTTPS. Furthermore, we use a package-lock.json file containing SHA-512 hashes for all dependencies, which are automatically verified during our CI build process (npm ci)


  • Publicly known vulnerabilities fixed


    There MUST be no unpatched vulnerabilities of medium or higher severity that have been publicly known for more than 60 days. [vulnerabilities_fixed_60_days]
    The vulnerability must be patched and released by the project itself (patches may be developed elsewhere). A vulnerability becomes publicly known (for this purpose) once it has a CVE with publicly released non-paywalled information (reported, for example, in the National Vulnerability Database) or when the project has been informed and the information has been released to the public (possibly by the project). A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known. Note: this means that users might be left vulnerable to all attackers worldwide for up to 60 days. This criterion is often much easier to meet than what Google recommends in Rebooting responsible disclosure, because Google recommends that the 60-day period start when the project is notified even if the report is not public. Also note that this badge criterion, like other criteria, applies to the individual project. Some projects are part of larger umbrella organizations or larger projects, possibly in multiple layers, and many projects feed their results to other organizations and projects as part of a potentially-complex supply chain. An individual project often cannot control the rest, but an individual project can work to release a vulnerability patch in a timely way. Therefore, we focus solely on the individual project's response time. Once a patch is available from the individual project, others can determine how to deal with the patch (e.g., they can update to the newer version or they can apply just the patch as a cherry-picked solution).

    The project maintains a zero-tolerance policy for known vulnerabilities of medium or higher severity. We utilize automated scanning (GitHub Dependabot) to identify issues and have a track record of remediating them promptly, often within days of disclosure. For example, our 9.3.1 release explicitly addressed a moderate-severity vulnerability (GHSA-w5hq-g745-h8pq). A public audit of our package-lock.json via npm audit will confirm that no unpatched vulnerabilities with a CVSS score of 4.0 or higher currently exist in our production dependencies.



    Projects SHOULD fix all critical vulnerabilities rapidly after they are reported. [vulnerabilities_critical_fixed]

    The project prioritizes the rapid remediation of all critical vulnerabilities. Through our integration with GitHub Dependabot and our automated CI/CD pipeline, we are able to identify, test, and release security patches almost immediately upon notification. Our typical response time for critical dependency updates is well under 7 days, and our public commit history demonstrates a consistent pattern of proactive dependency management and security hygiene.

    Recent examples:

    • PR #411: Remediated multiple vulnerabilities in under 1 minute.
    • PR #413: Upgraded major toolchain dependencies (Vite 8) in 33 minutes.
    • PR #424: Conducted comprehensive security hardening and vulnerability remediation (GHSA-w5hq-g745-h8pq) in 18 minutes.

  • Other security issues


    The public repositories MUST NOT leak a valid private credential (e.g., a working password or private key) that is intended to limit public access. [no_leaked_credentials]
    A project MAY leak "sample" credentials for testing and unimportant databases, as long as they are not intended to limit public access.

    The project has a strict, automated policy against the leakage of private credentials. We utilize secretlint with the 'recommended' rule preset to scan all files in the repository for sensitive data (API keys, private keys, etc.). This scan is integrated into our npm run lint process and is a mandatory status check in our Continuous Integration pipeline. Any commit containing potentially sensitive credentials will fail the CI build and be blocked from merging. This automated defense was implemented as a permanent safeguard following a proactive security audit.

    1. The Defensive Script

    2. The Configuration

    • Link: .secretlintrc.json
    • Evidence: Shows you are using the @secretlint/secretlint-rule-preset-recommend, which catches a wide variety of tokens (AWS, Google, GitHub, etc.).

    3. The Continuous Integration (CI) Enforcement

    This is the most important link because it proves the check is mandatory.

    • Link: .github/workflows/lint.yml
    • Evidence: Shows that npm run lint (which triggers the secret scan) must pass on every single commit before code can be merged.

 Analysis 8/8

  • Static code analysis


    At least one static code analysis tool (beyond compiler warnings and "safe" language modes) MUST be applied to any proposed major production release of the software before its release, if there is at least one FLOSS tool that implements this criterion in the selected language. [static_analysis]
    A static code analysis tool examines the software code (as source code, intermediate code, or executable) without executing it with specific inputs. For purposes of this criterion, compiler warnings and "safe" language modes do not count as static code analysis tools (these typically avoid deep analysis because speed is vital). Some static analysis tools focus on detecting generic defects, others focus on finding specific kinds of defects (such as vulnerabilities), and some do a combination. Examples of such static code analysis tools include cppcheck (C, C++), clang static analyzer (C, C++), SpotBugs (Java), FindBugs (Java) (including FindSecurityBugs), PMD (Java), Brakeman (Ruby on Rails), lintr (R), goodpractice (R), Coverity Quality Analyzer, SonarQube, Codacy, and HP Enterprise Fortify Static Code Analyzer. Larger lists of tools can be found in places such as the Wikipedia list of tools for static code analysis, OWASP information on static code analysis, NIST list of source code security analyzers, and Wheeler's list of static analysis tools. If there are no FLOSS static analysis tools available for the implementation language(s) used, you may select 'N/A'.

    The project applies multiple static code analysis tools to every commit and production release. First, we use ESLint with deep-analysis rules (via typescript-eslint) to catch logic and quality errors. Second, we have integrated GitHub CodeQL (see .github/workflows/codeql.yml) to perform advanced semantic security analysis and data-flow tracking. These tools are automated via GitHub Actions and must pass successfully before any code is merged into the main branch or tagged for release.

    In addition to GitHub Dependabot, we utilize the Renovate bot to proactively manage dependency updates. This ensures that our software stack and security analysis tools (like ESLint and TypeScript) are always current, allowing us to benefit from the latest security patches and analysis rules immediately upon their release. See https://github.com/cybaea/obsidian-vault-intelligence/issues/100



    It is SUGGESTED that at least one of the static analysis tools used for the static_analysis criterion include rules or approaches to look for common vulnerabilities in the analyzed language or environment. [static_analysis_common_vulnerabilities]
    Static analysis tools that are specifically designed to look for common vulnerabilities are more likely to find them. That said, using any static tools will typically help find some problems, so we are suggesting but not requiring this for the 'passing' level badge.

    The project uses specialized static analysis tools specifically designed to identify common vulnerabilities. Our GitHub CodeQL implementation is configured with the security-extended query suite to detect complex data-flow vulnerabilities like path traversal and injection. Additionally, we use secretlint to prevent credential leakage and eslint-plugin-obsidianmd to catch security anti-patterns specific to the Obsidian plugin environment. This multi-layered approach ensures that we are looking for vulnerabilities at the language, security, and platform levels.

    In addition to GitHub Dependabot, we utilize the Renovate bot to proactively manage dependency updates. This ensures that our software stack and security analysis tools (like ESLint and TypeScript) are always current, allowing us to benefit from the latest security patches and analysis rules immediately upon their release. See https://github.com/cybaea/obsidian-vault-intelligence/issues/100



    All medium and higher severity exploitable vulnerabilities discovered with static code analysis MUST be fixed in a timely way after they are confirmed. [static_analysis_fixed]
    A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known. Note that criterion vulnerabilities_fixed_60_days requires that all such vulnerabilities be fixed within 60 days of being made public.

    The project ensures that all vulnerabilities identified by static analysis are remediated immediately. This is enforced by our CI pipeline: CodeQL and ESLint scans are mandatory status checks for every Pull Request. If a medium or higher severity vulnerability is detected, the integration is automatically blocked. This ensures that no such vulnerabilities can enter the main branch. Furthermore, we conduct periodic security audits to ensure that existing code remains compliant as new analysis rules are released.

    See https://github.com/cybaea/obsidian-vault-intelligence/pull/425/checks for example.



    It is SUGGESTED that static source code analysis occur on every commit or at least daily. [static_analysis_often]

    Static analysis occurs automatically on every Pull Request and every push to the main branch via GitHub Actions. This ensures that every individual commit is analyzed before it is permanently integrated into the software. Additionally, we have scheduled CodeQL scans that run weekly to identify any new vulnerabilities that may have been discovered in existing code or dependencies since the last integration.

    In addition to GitHub Dependabot, we utilize the Renovate bot to proactively manage dependency updates. This ensures that our software stack and security analysis tools (like ESLint and TypeScript) are always current, allowing us to benefit from the latest security patches and analysis rules immediately upon their release. See https://github.com/cybaea/obsidian-vault-intelligence/issues/100


  • Dynamic code analysis


    It is SUGGESTED that at least one dynamic analysis tool be applied to any proposed major production release of the software before its release. [dynamic_analysis]
    A dynamic analysis tool examines the software by executing it with specific inputs. For example, the project MAY use a fuzzing tool (e.g., American Fuzzy Lop) or a web application scanner (e.g., OWASP ZAP or w3af). In some cases the OSS-Fuzz project may be willing to apply fuzz testing to your project. For purposes of this criterion the dynamic analysis tool needs to vary the inputs in some way to look for various kinds of problems or be an automated test suite with at least 80% branch coverage. The Wikipedia page on dynamic analysis and the OWASP page on fuzzing identify some dynamic analysis tools. The analysis tool(s) MAY be focused on looking for security vulnerabilities, but this is not required.

    The project utilizes its extensive automated test suite (over 280 tests) to perform dynamic analysis of the software. This suite is executed on every major production release and provides high branch coverage across all core logic, including vector indexing, scoring algorithms, and multi-threaded worker communication. Many of our tests are specifically designed to exercise the software with varied and edge-case inputs (e.g., malformed JSON, network failure states, and drifted text) to identify runtime defects. This comprehensive behavioral verification serves as our primary dynamic analysis tool.

    While our aggregate project coverage is currently below 80% (due to untestable UI components), our core logic and security utilities (which handle all data validation and external communication) are subject to intense dynamic analysis via our automated test suite. Specifically, our security-critical modules like url.ts and masking.ts maintain a branch coverage of 85% to 93%. We use these high-coverage tests to dynamically verify the software's behavior against varied and edge-case inputs on every release.



    It is SUGGESTED that if the software produced by the project includes software written using a memory-unsafe language (e.g., C or C++), then at least one dynamic tool (e.g., a fuzzer or web application scanner) be routinely used in combination with a mechanism to detect memory safety problems such as buffer overwrites. If the project does not produce software written in a memory-unsafe language, choose "not applicable" (N/A). [dynamic_analysis_unsafe]
    Examples of mechanisms to detect memory safety problems include Address Sanitizer (ASAN) (available in GCC and LLVM), Memory Sanitizer, and valgrind. Other potentially-used tools include thread sanitizer and undefined behavior sanitizer. Widespread assertions would also work.

    The project is written exclusively in TypeScript, which is a memory-safe language. All execution occurs within the sandboxed and memory-managed environment of the Chromium V8 engine. The project does not produce any code in memory-unsafe languages like C or C++ that would require manual memory-safety analysis tools.



    It is SUGGESTED that the project use a configuration for at least some dynamic analysis (such as testing or fuzzing) which enables many assertions. In many cases these assertions should not be enabled in production builds. [dynamic_analysis_enable_assertions]
    This criterion does not suggest enabling assertions during production; that is entirely up to the project and its users to decide. This criterion's focus is instead to improve fault detection during dynamic analysis before deployment. Enabling assertions in production use is completely different from enabling assertions during dynamic analysis (such as testing). In some cases enabling assertions in production use is extremely unwise (especially in high-integrity components). There are many arguments against enabling assertions in production, e.g., libraries should not crash callers, their presence may cause rejection by app stores, and/or activating an assertion in production may expose private data such as private keys. Beware that in many Linux distributions NDEBUG is not defined, so C/C++ assert() will by default be enabled for production in those environments. It may be important to use a different assertion mechanism or defining NDEBUG for production in those environments.

    he project implements a comprehensive system of 'logic assertions' and 'invariant checks' using TypeScript Type Guards and the Zod validation library. These checks are pervasive in our data-handling and service-orchestration layers. During dynamic analysis (automated testing), these assertions ensure that any violation of expected data integrity or logic state results in an immediate failure, allowing for rapid fault detection. This approach provides the same benefit as C/C++ assertions but within a memory-safe, modern TypeScript environment.



    All medium and higher severity exploitable vulnerabilities discovered with dynamic code analysis MUST be fixed in a timely way after they are confirmed. [dynamic_analysis_fixed]
    If you are not running dynamic code analysis and thus have not found any vulnerabilities in this way, choose "not applicable" (N/A). A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known.

    The project ensures that all vulnerabilities identified through dynamic analysis (automated testing) are remediated immediately. Our comprehensive test suite of over 280 tests is a mandatory component of our Continuous Integration pipeline; any failure (which indicates a potential vulnerability or defect) automatically blocks code integration. Furthermore, our documented project policy (see CONTRIBUTING.md) requires that a regression test be added for every confirmed vulnerability or bug, ensuring that remediations are permanent and verifiable through subsequent dynamic analysis.



This data is available under the Community Data License Agreement – Permissive, Version 2.0 (CDLA-Permissive-2.0). This means that a Data Recipient may share the Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. Please credit Allan Engelhardt and the OpenSSF Best Practices badge contributors.

Project badge entry owned by: Allan Engelhardt.
Entry created on 2026-05-02 20:34:44 UTC, last updated on 2026-05-02 22:20:14 UTC. Last achieved passing badge on 2026-05-02 22:20:14 UTC.