ccu-mcp

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.

    MCP server for controlling HomeMatic smart home devices via the CCU JSON-RPC API

    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 README's first line states the problem in one sentence: "Talk to your HomeMatic smart home from Claude, Cursor, or any MCP client." The paragraph below it says how — a direct connection to the CCU's built-in JSON-RPC API, exposing devices, rooms, programs and system variables as MCP tools, with no addon, no XML-API and no cloud. A "What can it do?" section then gives concrete example requests. The same one-line description is the npm package description and the MCP registry entry.



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

    README "Getting help and contributing" — GitHub issues for bugs and feature requests, the HomeMatic forum for questions and setup help



    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?)

    Projects on GitHub by default use issues and pull requests, as encouraged by documentation such as https://guides.github.com/activities/contributing-to-open-source/.



    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/claymore666/ccu-mcp/blob/dev/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).

    The external interface is the MCP tool surface, and it is documented three times over, with the copies kept in sync mechanically. README.md's "Tools" section lists all 28 tools grouped by purpose, plus the resources, prompts and the full environment-variable configuration table. The server also ships its own "help" tool, so a client can retrieve the reference at runtime. docs/architecture.md documents the request flow and error categories. test/unit/docs-drift.test.ts compares the registered tools against the help text and the README in both directions, and test/unit/env-example-sync.test.ts does the same for environment variables — so the reference documentation cannot silently drift from the implementation.


  • 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.

    All documentation — README, CONTRIBUTING, SECURITY, GOVERNANCE, ROADMAP, CHANGELOG and the docs/ directory — is written in English, as are all code comments, commit messages and tool descriptions. CONTRIBUTING.md explicitly invites issues in English or German, and the maintainer answers in either.



    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.

    Actively maintained. The current release is v1.9.1 (2026-08-01), with releases through the 1.x line during 2026 and 61 issues closed to date. Issues and pull requests receive maintainer responses, Dependabot updates are merged, and a nightly fuzzing job plus a daily dependency audit run against the repository. Maintenance status, governance and the single-maintainer bus factor are stated openly in GOVERNANCE.md.


 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 repository holds the full development history, not just releases. Work happens on feature/, fix/, ci/, docs/ and tests/ branches, lands on the "dev" integration branch via pull request with review and required status checks, and only then reaches "main" as a release PR. Every interim commit between releases is public and reviewable; "main" is protected against direct pushes, so no change bypasses that path.



    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).

    Every release carries a unique semantic version in package.json, published under that version to npm and to the MCP registry, and tagged vX.Y.Z in git. scripts/check-version-sync.mjs runs in CI and on prepublishOnly to verify that package.json, server.json and the compiled source all agree, so a mismatched or duplicated version cannot be released. A running server reports its own version, plus the exact commit it was built from, through the get_system_info tool.



    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]

    Each release is identified by an annotated, cryptographically signed git tag vX.Y.Z on "main", verified by GitHub. Tags are the only record of older versions — the project deliberately keeps no long-lived version branches — and each has a corresponding GitHub Release.


  • 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.

    Non-trivial release notes file in repository: https://github.com/claymore666/ccu-mcp/blob/dev/CHANGELOG.md.



    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.

    CHANGELOG.md is maintained per release and is the release notes source. No publicly known run-time vulnerability with a CVE or similar assignment has ever applied to ccu-mcp itself, so there has been nothing of that kind to identify. Where a release cleared advisories in dependencies — which this criterion does not cover — the changelog names them anyway, e.g. the undici and SDK advisory clearances. Security-relevant fixes found by the project's own testing are described explicitly, including their severity assessment; v1.9.1's entry states plainly that its three fixes are not exploitable and why.


 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]

    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]

    Bug reports are acknowledged and worked. 61 issues have been closed to date, the large majority of them by a fix that shipped in a named release and is credited in CHANGELOG.md. CONTRIBUTING.md tells reporters what to include (version, CCU type and firmware, Node version, the failing tool call), and SECURITY.md gives explicit response targets for security reports rather than an implied SLA.



    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.

    Enhancement requests are triaged and answered, and are tracked in milestones alongside fixes; several shipped features originated as user requests. Where a request falls outside the project's intended scope it now gets a documented answer rather than silence: ROADMAP.md contains an explicit "Not planned" section stating what the project will never do and why, so a "no" comes with a reason.



    The project MUST have a publicly available archive for reports and responses for later searching. (URL required) [report_archive]
  • 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.

    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).

    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).

    No vulnerability reports have been received in the last 12 months, so there have been none to respond to — the repository's security-advisory list is empty. The response process itself exists and is published in advance, with explicit stage targets: acknowledgement within 14 days, initial assessment within 30 days, and a fix as fast as severity warrants. See https://github.com/claymore666/ccu-mcp/blob/dev/SECURITY.md#what-to-expect


 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).

    "npm run build" rebuilds everything from source automatically: tsc compiles src/ to dist/, then scripts/gen-build-info.mjs stamps build metadata. "npm ci" restores the exact dependency set from package-lock.json. The build is also run automatically by the pretest hook, in the build-and-test CI job on every push and pull request, and inside the Dockerfile's builder stage. Verified repeatable: deleting dist/ and rebuilding produces byte-identical output.



    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).

    Entirely standard tooling for the ecosystem, with nothing bespoke: Node.js, npm, and the TypeScript compiler (tsc), driven by ordinary package.json scripts. Tests use vitest, the container build uses a stock Dockerfile on node:24-alpine, and CI is GitHub Actions. A developer familiar with any TypeScript project can build this one without learning anything project-specific.



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

    Every tool in the build and test path is FLOSS: Node.js (MIT), npm (Artistic-2.0), TypeScript (Apache-2.0), vitest (MIT), oxlint (MIT), and the three production dependencies — @modelcontextprotocol/sdk, undici and zod — all MIT. No proprietary compiler, linker, packer or license server is involved, and the build requires no network service beyond the npm registry.


  • 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 test suite is vitest (MIT, FLOSS) and lives in the repository under test/, publicly released with the source. It is run with "npm test", documented in CONTRIBUTING.md (Development setup) and in README.md, and executed automatically by the build-and-test CI job on every push and pull request. Four layers: type check over src AND test, unit tests, end-to-end tests that spawn the built server against a mocked CCU, and live-integration tests gated on CCU_HOST so they are skipped unless real hardware is deliberately supplied. Currently 469 passing tests.



    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).

    "npm test" — the standard invocation for a Node.js project, and the only one needed. A pretest hook rebuilds dist/ first, so the end-to-end suite always exercises the current source rather than a stale build; CONTRIBUTING.md calls out explicitly that a bare "npx vitest" must not be used for exactly that reason. "npm run lint" and "npm run fuzz" follow the same convention.



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

    Coverage is measured on every CI run and enforced at two levels. vitest applies global thresholds, and scripts/coverage-ratchet.mjs additionally enforces a per-directory floor recorded in .github/coverage-baseline.txt — currently above 96% statements for src overall, and 100% for several directories. The second layer exists because a global average hides local collapse: deleting one directory's tests takes it from 100% to 0% while moving the global figure by a quarter of a point. Beyond line coverage, property-based tests explore input space over the parsing and escaping helpers, and a nightly fuzzer targets the same code with a seeded corpus.



    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]

    GitHub Actions runs the full pipeline on every push and every pull request to both long-lived branches, and build-and-test is a required status check on "dev" and "main". It runs version-sync, lint and type check, the full test suite with coverage, the coverage-ratchet self-test, the coverage ratchet, workflow linting via actionlint and shellcheck, and the AI-attribution gate. The job is hermetic by contract — every step is a function of the commit under test — which is why dependency scanning deliberately lives in separate scheduled and release-gate workflows instead.


  • 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 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.

    Demonstrable in the history rather than merely asserted: roughly 72% of "fix:" commits in the last six months modified files under test/ in the same commit, and the exceptions are dependency bumps and documentation corrections. Recent major changes each shipped with their tests — the prototype-key fixes with test/unit/prototype-key-handling.test.ts, the property/fuzzing work with test/unit/utils-properties.test.ts, the config-parsing hardening with its own regression cases. The policy is enforced as well as written: coverage thresholds are checked globally and per directory in the required CI job, so untested new code fails the build.



    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.
  • 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.

    Several independent layers. TypeScript runs in strict mode, and "npm run lint" type-checks both src and test with tsc --noEmit. oxlint (MIT, FLOSS) then runs over src, test, scripts and fuzz with its correctness, suspicious and perf rule categories all set to error. CodeQL scans the repository for security issues. Workflow files are linted by actionlint with shellcheck over embedded shell. Every one of these runs in CI, not just locally.



    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).

    Warnings are errors here, so they cannot accumulate: "npm run lint" fails the build on any oxlint finding or any TypeScript error, and it is a required status check, so nothing merges with a warning outstanding. The lint gate was mutation-tested before being enabled — deliberately planted violations to confirm it goes red — and it immediately found two unit tests that asserted nothing at all, both of which were fixed rather than suppressed. Where a rule is genuinely wrong for this project it is disabled in .oxlintrc.json WITH the reason recorded next to it, never silently. CodeQL currently reports zero open alerts.



    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.

    Maximally strict where it is practical. TypeScript strict is on with forceConsistentCasingInFileNames, and type checking covers the test sources as well as src — which "npm test" alone does not do. oxlint runs three rule categories as errors rather than warnings. The stricter categories oxlint also offers (pedantic, restriction) are deliberately not enabled: they include rules like no-optional-chaining and no-async-await that would fight the language rather than find defects, and turning them on would mean mass-suppressing them, which is worse than not claiming them.


 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).

    Applied and documented rather than merely claimed: docs/assurance-case.md maps each Saltzer and Schroeder principle to the mechanism implementing it — fail-safe defaults (default-deny CORS, unconditional DNS-rebinding protection, safety-gate variables that throw rather than read as false), complete mediation (no path to the CCU bypasses validation, write gate and rate limiter), least privilege (dedicated USER-level CCU account recommended, non-root container), separation of privilege (protected writes need both configuration and explicit confirmation), economy of mechanism (one process, no database, three production dependencies) and open design. The same document names the one place the project knowingly violates fail-safe defaults, CCU TLS verification, rather than omitting it.



    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).

    docs/assurance-case.md contains a table of the weakness classes that apply to this program, each with the countermeasure in place: injection (no shell, no eval — now mechanically prohibited by the lint gate — and escaped HM Script), prototype pollution (Object.fromEntries on write, Object.hasOwn on read), broken authentication (constant-time digest comparison, rotation with grace, rate limiting), sensitive data exposure (log redaction asserted end-to-end, 0600 cache, scrypt-derived credential fingerprint), improper certificate validation (pinning, including the session-resumption trap that made an earlier pin silently pass), ReDoS (a polynomial pattern found and rewritten), path traversal (hash-suffixed cache filenames), and resource exhaustion (bounded maps, queues and retry budgets). Each is backed by a named regression test, and several were found by the project's own fuzzing and property testing rather than read about.


  • 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.

    Only published, expert-reviewed primitives, all provided by Node.js/OpenSSL: TLS 1.2 and 1.3 for transport, SHA-256 for bearer-token and certificate-fingerprint digests, and scrypt (RFC 7914) for the credential fingerprint. No proprietary, obscure or home-grown algorithm is used anywhere, and no cipher list or protocol version is overridden in this project's code.



    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]

    ccu-mcp implements no cryptography. Its purpose is bridging MCP to a CCU, and every cryptographic operation is delegated to node:crypto and to the TLS stack in Node.js/OpenSSL via undici — createHash, timingSafeEqual, scryptSync and randomBytes. There is no hand-rolled hash, cipher, MAC or random-number generator in the codebase.



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

    All cryptography comes from Node.js and its bundled OpenSSL, both FLOSS, reached through the standard node:crypto and TLS APIs and through undici (MIT). No proprietary cryptographic library, hardware module or licensed component is required to build or run any part of the project.



    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).

    Key lengths are those of the underlying platform defaults, all comfortably above the NIST 2030 minimums: TLS 1.2/1.3 with 2048-bit-or-larger RSA and 256-bit elliptic-curve key agreement, SHA-256 (256-bit) digests, scrypt deriving a 256-bit key from a random salt, and randomBytes for token generation. Nothing in the project reduces a key length below the platform default, and because no cipher list or protocol version is pinned, weaker suites are already excluded by Node's TLS 1.2 floor.



    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.

    No broken algorithm is used in any default path. There is no MD4, MD5, SHA-1, single DES, RC4 or Dual_EC_DRBG anywhere in the codebase or in the security mechanisms it relies on. Node's TLS floor of 1.2 excludes SSLv3 and the cipher modes associated with it, and the project does not override the cipher list. Notably the credential fingerprint uses scrypt rather than a fast hash — this was deliberately changed from SHA-256 in response to a CodeQL finding, because a fast hash over a credential is the wrong primitive even when it is not a "broken" one.



    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.

    No algorithm or mode with a known serious weakness is used by default. SHA-1 appears nowhere; digests are SHA-256. CBC-mode concerns do not arise, since cipher-suite selection is left entirely to Node/OpenSSL under a TLS 1.2 minimum, where AEAD suites (AES-GCM, ChaCha20-Poly1305) are preferred. Password-equivalent material is handled with scrypt, a deliberately slow salted KDF, rather than any fast hash.



    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]

    Perfect forward secrecy is provided by the platform and not undermined by this project. TLS 1.3 mandates ephemeral (EC)DHE key agreement, and Node's default TLS 1.2 cipher preferences are ECDHE suites. Because the project pins no cipher list and sets no secureProtocol or minVersion, non-PFS static-RSA key exchange is not available in the negotiated set. One deliberate related choice: when TLS fingerprint pinning is enabled, session resumption is disabled — a resumed handshake returns an empty peer certificate, which would let the pin silently pass.



    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.

    ccu-mcp does not authenticate external users and therefore stores no user passwords — authentication of humans is the CCU's job. The one credential-derived value it does persist is a fingerprint of the configured CCU credential, used to detect that the credential changed and invalidate a cached session. That is derived with scrypt and a per-installation random salt (src/ccu/session.ts), explicitly chosen over the SHA-256 it originally used, so the cache file cannot be used for an offline guess at the CCU password. Bearer tokens are stored only as SHA-256 digests and compared with timingSafeEqual.



    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.

    All security-relevant random values come from randomBytes() in node:crypto, a CSPRNG. This covers generated bearer tokens and the scrypt salt. Math.random() is not used for any security purpose anywhere in the codebase.


  • 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.

    Nothing is fetched over plain HTTP anywhere in the build, release or install path. Dependencies come from the npm registry over HTTPS with integrity hashes pinned in package-lock.json and verified by "npm ci". GitHub Actions are pinned by commit SHA, and the one binary the release workflow downloads (mcp-publisher) is fetched over HTTPS and verified against a hardcoded SHA-256 checksum before use. Releases are published to npm with build provenance (SLSA) via trusted publishing (OIDC), so no long-lived token exists to intercept, and every release tag is cryptographically signed.


  • 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).

    There are no known unpatched vulnerabilities of medium or higher severity in ccu-mcp, and none has ever been reported: the repository's security-advisory list is empty. Dependency advisories are monitored on three independent tracks — Dependabot, a daily production-only "npm audit" for high/critical findings, and a release-audit gate that blocks any pull request into "main" while a high or critical advisory is outstanding — so a vulnerable dependency cannot sit unnoticed, let alone ship in a release. CodeQL currently reports zero open alerts.



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

    No critical vulnerability has been reported against ccu-mcp to date, so the record is of process rather than of incidents. That process is in place and has been exercised on adjacent findings: dependency advisories have been cleared promptly and within a release each time, and a CodeQL high-severity finding (a fast hash over the credential fingerprint) was fixed by moving to scrypt. SECURITY.md publishes explicit response targets, and a release is blocked outright while a high or critical advisory is open.


  • 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.

    No credential has been committed. .env and .env.* are gitignored; .env.example ships variable NAMES with placeholder or default values only (CCU_HOST=your-ccu-hostname-or-ip) and contains no password, token, key or fingerprint. Live testing configuration, the maintainer's CCU credentials, the certificate pin and the Smithery API key all live outside the repository entirely. Publishing uses OIDC-based trusted publishing for both npm and the MCP registry, so there is no long-lived publish token in existence to leak; the single remaining stored secret is scoped to an approval-gated GitHub environment, and the repository holds zero repository-wide secrets. GitHub secret scanning and push protection are enabled.


 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'.

    strict tsc across source and tests on every push, actionlint plus shellcheck over workflows, and daily npm audit in audit.yml with a hard release gate



    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.

    CodeQL is enabled via GitHub default setup (state: configured, default query suite) over javascript-typescript and actions; its default suite includes security queries.



    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.

    Zero open CodeQL alerts. Findings have been fixed rather than dismissed — including a high-severity one where the CCU credential fingerprint was derived with SHA-256, corrected to scrypt with a random salt, and a clear-text-logging finding that led to the CCU_CA_CERT path being kept out of thrown error messages. Both landed with tests. Static analysis now runs on every commit through three tools: CodeQL, oxlint, and tsc --noEmit in strict mode over both src and test.



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

    On every commit, not merely daily. CodeQL runs on pushes and pull requests to both long-lived branches; oxlint and the strict TypeScript type check run in the required build-and-test job, so every commit that reaches a branch has been analysed. Workflow files are separately linted by actionlint with shellcheck on the same trigger. A daily scheduled job additionally audits production dependencies.


  • 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.

    Two forms of dynamic analysis, both automated. Coverage-guided FUZZING with Jazzer.js (@jazzer.js/core) runs nightly via .github/workflows/fuzz.yml against three targets — HM Script escaping, CCU response parsing and bearer-token extraction — each with a seeded corpus checked into the repository. PROPERTY-BASED TESTING with fast-check runs as part of the ordinary test suite on every commit, exercising the same helpers against thousands of generated inputs per run under a pinned seed, using a differential oracle for the escaping round-trip. This is not decorative: it found three real defects that shipped as fixes in v1.9.1, which is what prompted the sweep for the same defect class across the rest of the codebase. The end-to-end suite additionally runs the built server as a subprocess against a mocked CCU.



    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 produces no software written in a memory-unsafe language. ccu-mcp is TypeScript running on Node.js, with no C/C++ source, no native addon and no FFI dependency, so there is no buffer-overwrite class of defect for a memory-safety tool to detect. Dynamic analysis is nevertheless applied for other defect classes: nightly coverage-guided fuzzing with Jazzer.js against a seeded corpus, plus property-based testing with fast-check on every commit.



    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.

    The fuzzing and property-testing configuration is assertion-heavy by construction. Fuzz targets assert invariants on every input rather than only catching crashes — for example that escaping round-trips exactly through an independent unescape oracle, and that quote parity holds for odd runs of backslashes. Property tests assert the same invariants across generated input space. The build itself compiles with TypeScript strict, which turns a large class of assumptions into compile-time checks, and the runtime validates every tool input against a zod schema, so an invalid value is rejected rather than propagated. The fuzz runner also treats a missing corpus as a hard failure rather than a clean run, so the harness cannot pass vacuously.



    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.

    Every defect found by dynamic analysis has been fixed, each with a regression test, and each in the next release rather than deferred. The three defects found by the initial fuzzing and property-testing work — a String() conversion that could throw on an exotic object, a prototype-key write path, and an IPv4-mapped-IPv6 address truncation — were all fixed in v1.9.1, and the same defect class was then swept across logger, utils, device-type-cache and resolver, producing a fourth fix in the same release. Regression tests live in test/unit/prototype-key-handling.test.ts and in a dedicated block of test/unit/utils-properties.test.ts, and the corresponding inputs were added to the fuzzing seed corpus so they cannot silently regress.



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 Chris and the OpenSSF Best Practices badge contributors.

Project badge entry owned by: Chris.
Entry created on 2026-08-01 09:15:35 UTC, last updated on 2026-08-02 10:35:30 UTC. Last achieved passing badge on 2026-08-01 10:23:04 UTC.