Physical AI Toolchain

Miradi inayofuata mazoea bora hapa chini inaweza kujihakikisha kwa hiari na kuonyesha kuwa wamepata nishani ya mazoea bora ya Open Source Security Foundation (OpenSSF).

Hakuna seti ya mazoea yawezayo kuhakikisha kuwa programu haitakuwa na kasoro au udhaifu; hata mbinu rasmi zinaweza kushindwa ikiwa vipimo au dhana ni sahihi. Wala hakuna seti ya mazoea yawezayo kuhakikisha kuwa mradi utaendelea kuwa na jamii ya maendeleo yenye afya na inayofanya kazi vizuri. Hata hivyo, kufuata mazoea bora kunaweza kusaidia kuboresha matokeo ya miradi. Kwa mfano, baadhi ya mazoea huwezesha ukaguzi wa watu wengi kabla ya kutolewa, ambayo inaweza kusaidia kupata udhaifu wa kiufundi ambao vinginevyo ni vigumu kupata na kusaidia kujenga uaminifu na hamu ya mwingiliano wa kurudia kati ya wasanidi programu kutoka makampuni tofauti. Ili kupata nishani, vigezo vyote vya LAZIMA na LAZIMA WALA USIWAHI lazima vifuatwe, vigezo vyote vya INAPASWA lazima vifuatwe AU visivyo fufufutiliana na thibitisho, na vigezo vyote vya PENDEKEZA lazima vifuatwe AU visivyo fufufutiliana (tunataka vifikiwe angalau). Ikiwa unataka kuingiza maandishi ya thibitisho kama maoni ya jumla, badala ya kuwa maelezo ya busara kwamba hali ni inakubaliwa, anza kifungu cha maandishi na '//' ikifuatiwa na nafasi. Maoni ni karibu kupitia tovuti ya GitHub kama masuala au maombi ya kuvuta Kuna pia orodha ya barua pepe kwa majadiliano ya jumla.

Tunafuraha kutoa habari katika lugha nyingi, hata hivyo, ikiwa kuna mgongano au kutokuwa na usawa kati ya tafsiri, toleo la Kiingereza ni toleo lenye mamlaka.
Ikiwa huu ni mradi wako, tafadhali onyesha hadhi ya nishani yako kwenye ukurasa wa mradi wako! Hadhi ya nishani inaonekana kama hii: Kiwango cha nishani kwa mradi 12195 ni passing Hapa ni jinsi ya kuiweka:
Unaweza kuonyesha hali ya nishani yako kwa kuweka hii katika faili yako ya markdown:
[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/12195/badge)](https://www.bestpractices.dev/projects/12195)
au kwa kuweka hii katika HTML yako:
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Hizi ni vigezo vya kiwango cha Kupita. Unaweza pia kuangalia vigezo vya kiwango cha Fedha au Dhahabu.

Baseline Series: Kiwango cha Msingi 1 Kiwango cha Msingi 2 Kiwango cha Msingi 3

        

 Misingi 13/13

  • Jumla

    Kumbuka kwamba miradi mingine inaweza kutumia jina sawa.

    Physical AI Toolchain is an open-source, production-ready framework that integrates Microsoft Azure (https://azure.microsoft.com/) cloud services with NVIDIA's (https://developer.nvidia.com/) physical AI stack, accelerating robotics and physical AI developers to automate and scale data curation, augmentation, and evaluation across perception, mobility, imitation learning, and reinforcement learning pipelines.

    Tafadhali tumia muundo wa maneno ya leseni ya SPDX; mifano ni pamoja na "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause", "GPL-2.0+", "LGPL-3.0+", "MIT", na "(BSD-2-Clause OR Ruby)". Usitumie alama za nukuu za moja au mbili.
    Ikiwa kuna lugha zaidi ya moja, ziorodhe kama thamani zilizotengwa kwa koma (nafasi ni za hiari) na ziorodhe kuanzia iliyotumiwa zaidi hadi iliyotumiwa kidogo. Ikiwa kuna orodha ndefu, tafadhali orodhesha angalau tatu za kawaida zaidi. Ikiwa hakuna lugha (k.m., huu ni mradi wa nyaraka tu au wa majaribio tu), tumia herufi moja "-". Tafadhali tumia herufi kubwa za kawaida kwa kila lugha, k.m., "JavaScript".
    Common Platform Enumeration (CPE) ni mpango wa kuweka majina yenye muundo kwa mifumo ya teknolojia ya habari, programu, na vifurushi. Inatumika katika mifumo na hifadhidata nyingi wakati wa kuripoti udhaifu.
  • Maudhui ya kimsingi ya tovuti ya mradi


    Tovuti ya mradi LAZIMA ieleze kwa ufupi programu inafanya nini (inasuluhu tatizo gani?). [description_good]
    Hii LAZIMA iwe katika lugha ambayo watumiaji watarajiwa wanaweza kuelewa (k.m., inatumia lugha ya kiufundi kidogo).

    Toolchain is an open-source, production-ready framework that integrates Microsoft Azure cloud services with NVIDIA's physical AI stack to enable scalable training, simulation, and deployment of robotic AI models." The description explains what the project does, its target domain (robotics AI), and how it relates to Azure and NVIDIA infrastructure. Five CI status badges are displayed at the top for immediate project health visibility.

    Evidence:



    Tovuti ya mradi LAZIMA itoe habari juu ya jinsi ya: kupata, kutoa maoni (kama ripoti za hitilafu au maboresho), na kuchangia kwenye programu. [interact]

    Multiple interaction channels are documented and accessible. CONTRIBUTING.md provides the contribution workflow (fork, branch, PR). SUPPORT.md documents a 4-tier response SLA (Security: 24h, Critical: 1-2 business days, Major: 3-5 business days, General: 14 business days). GitHub Issues are enabled with 7 structured issue templates (.github/ISSUE_TEMPLATE/) covering bug reports, feature requests, documentation issues, security reports, and infrastructure requests. GitHub Discussions are enabled for community questions and announcements.

    Evidence:



    Habari juu ya jinsi ya kuchangia LAZIMA ieleze mchakato wa uchangiaji (kwa mfano, je! Maombi ya kuvuta yanatumika?) (URL inahitajika) [contribution]
    Tunafikiria kuwa miradi kwenye GitHub hutumia maswala na kuvuta maombi isipokuwa palipoonyeshwa vingine. Habari hii inaweza kuwa fupi, kwa mfano, ikisema kuwa mradi hutumia maombi ya kuvuta, msako wa suala, au machapisho kwenye orodha ya barua (ipi?)

    CONTRIBUTING.md provides a comprehensive contribution guide with fork-and-clone workflow, branch naming conventions (feat/, fix/, docs/, chore/), pull request process with review checklist, required Conventional Commits format, 12 specialized sub-guides for different contribution areas, explicit testing requirements (new features need tests, bug fixes need regression tests, ≥50% of bug fix PRs must include regression tests), and code style enforcement via automated linting. The document also references the Microsoft CLA, Code of Conduct, and Sigstore gitsign keyless signing for release tags.

    Evidence:



    Habari juu ya jinsi ya kuchangia INAPASWA kujumuisha mahitaji ya michango inayokubalika (k.m., rejeleo la kiwango chochote kinachohitajika cha usimbaji). (URL inahitajika) [contribution_requirements]

    CONTRIBUTING.md clearly documents all contribution requirements: Conventional Commits message format (feat:, fix:, docs:, chore:, etc.), branch naming using category prefixes, testing policy requiring tests for new features and regression tests for bug fixes (≥50% of bug fix PRs must include regression tests), coding standards enforced by Ruff (Python), markdownlint (Markdown), PSScriptAnalyzer (PowerShell), yaml-lint (YAML), and cspell (spelling). The PR template and 16-job pr-validation.yml CI pipeline automatically enforce these requirements on every PR.

    Evidence:


  • Leseni ya FLOSS


    Programu iliyozalishwa na mradi LAZIMA itolewa kama FLOSS. [floss_license]
    FLOSS ni programu iliyotolewa kwa njia inayokidhi Ufafanuzi wa Chanzo Wazi au Ufafanuzi wa Programu Huria. Mifano ya leseni kama hizo ni pamoja na CC0, MIT, BSD 2-clause, BSD 3-clause revised, Apache 2.0, Lesser GNU General Public License (LGPL), na GNU General Public License (GPL). Kwa madhumuni yetu, hii inamaanisha kuwa leseni LAZIMA iwe: Programu YAWEZA pia kupatiwa leseni kwa njia nyingine (k.m., "GPLv2 au ya kibinafsi" inakubaliwa).

    The project is released under the MIT License, one of the most permissive FLOSS licenses. The LICENSE file in the repository root contains the full MIT License text with copyright held by Microsoft Corporation. MIT License permits use, copy, modify, merge, publish, distribute, sublicense, and sell copies of the software, meeting all FLOSS requirements.

    Evidence:



    INAPENDEKEZA kwamba leseni yoyote inayohitajika kwa programu iliyozalishwa na mradi iwe imeidhinishwa na Open Source Initiative (OSI). [floss_license_osi]
    OSI inatumia mchakato mgumu wa uidhinishaji kuamua ni leseni zipi ni OSS.

    The MIT License is approved by the Open Source Initiative (OSI) and listed on their approved license page. It is one of the most widely used OSI-approved licenses in the open-source ecosystem.

    Evidence:



    Mradi LAZIMA uweke leseni za matokeo yake mahali pa kawaida katika hazina yake ya chanzo. (URL inahitajika) [license_location]
    Desturi moja ni kuweka leseni kama faili ya ngazi ya juu inayoitwa LICENSE au COPYING, ambayo YAWEZA kufuatiwa na kiendelezi kama ".txt" au ".md". Desturi mbadala ni kuwa na saraka inayoitwa LICENSES inayohifadhi faili za leseni; faili hizi kwa kawaida zinaitwa kama kitambulisho chao cha leseni ya SPDX kikifuatiwa na kiendelezi kinachofaa, kama ilivyoelezwa katika Maelezo ya REUSE. Kumbuka kwamba kigezo hiki ni mahitaji tu kwenye hazina ya chanzo. Huhitaji kuingiza faili ya leseni wakati wa kuzalisha kitu kutoka kwenye msimbo wa chanzo (kama programu inayotekelezeka, kifurushi, au chombo). Kwa mfano, wakati wa kuzalisha kifurushi cha R kwa Mtandao wa Kumbukumbu Kamili wa R (CRAN), fuata mazoea ya kawaida ya CRAN: ikiwa leseni ni leseni ya kawaida, tumia maelezo mafupi ya kawaida ya leseni (ili kuepuka kusakinisha nakala nyingine ya maandishi) na orodhesha faili ya LICENSE katika faili ya kutengwa kama .Rbuildignore. Vivyo hivyo, wakati wa kuunda kifurushi cha Debian, unaweza kuweka kiungo katika faili ya hakimiliki kwa maandishi ya leseni katika /usr/share/common-licenses, na utenge faili ya leseni kutoka kwenye kifurushi kilichoundwa (k.m., kwa kufuta faili baada ya kuita dh_auto_install). Tunashauri jumuisha maelezo ya leseni yanayoweza kusomwa na mashine katika miundo iliyozalishwa mahali inapofaa.

    automatically detected by GitHub's license detection system. GitHub displays the license type (MIT) in the repository sidebar. The README.md also references the license. Additionally, copyright-headers.yml CI workflow enforces "Copyright (c) Microsoft Corporation" headers in all TypeScript, JavaScript, and CSS source files under docs/docusaurus/src/.

    Evidence:


  • Nyaraka


    Mradi LAZIMA utoe nyaraka za msingi za programu iliyozalishwa na mradi. [documentation_basics]
    Nyaraka hizi lazima ziwe katika vyombo fulani (kama maandishi au video) vinavyojumuisha: jinsi ya kuisakinisha, jinsi ya kuianzisha, jinsi ya kuitumia (huenda ikijumuisha mafunzo kwa kutumia mifano), na jinsi ya kuitumia kwa usalama (k.m., nini cha kufanya na nini cha kutofanya) ikiwa hiyo ni mada inayofaa kwa programu. Nyaraka za usalama lazima zisiwe ndefu. Mradi YAWEZA kutumia viungo vya hypertext kwa nyenzo zisizo za mradi kama nyaraka. Ikiwa mradi hauzalishi programu, chagua "haihusiki" (N/A).

    Comprehensive documentation is provided across multiple levels. README.md covers project overview, quick start, architecture overview, and links to all documentation areas. The docs/ directory contains 8 topic areas: getting-started/, contributing/, deploy/, training/, inference/, operations/, security/, and reference/. Each major component has its own README (deploy/README.md, scripts/README.md, config/README.md, src/training/README.md, src/dataviewer/README.md). The docs/contributing/ directory includes architecture.md, ROADMAP.md, prerequisites.md, deployment-validation.md, cost-considerations.md, and security-review.md. Documentation is also published via Docusaurus to GitHub Pages with automated testing via docusaurus-tests.yml.

    Evidence:



    Mradi LAZIMA utoe nyaraka za marejeleo zinazofafanua kiolesura cha nje (ingizo na matokeo) cha programu iliyozalishwa na mradi. [documentation_interface]
    Nyaraka za kiolesura cha nje zinaeleza kwa mtumiaji wa mwisho au msanidi jinsi ya kuitumia. Hii itajumuisha kiolesura chake cha programu ya programu (API) ikiwa programu ina. Ikiwa ni maktaba, andika madarasa/aina kuu na mbinu/vitendakazi vinavyoweza kuitwa. Ikiwa ni programu ya wavuti, fafanua kiolesura chake cha URL (mara nyingi kiolesura chake cha REST). Ikiwa ni kiolesura cha mstari wa amri, andika vigezo na chaguo zinazosaidia. Katika hali nyingi ni bora ikiwa nyingi ya nyaraka hizi zinazalishwa kiotomatiki, ili nyaraka hizi zibaki zikisawazishwa na programu inavyobadilika, lakini hii haihitajiki. Mradi YAWEZA kutumia viungo vya hypertext kwa nyenzo zisizo za mradi kama nyaraka. Nyaraka ZIWEZA kuzalishwa kiotomatiki (ambapo ni vitendo hii mara nyingi ndiyo njia bora ya kufanya hivyo). Nyaraka za kiolesura cha REST zinaweza kuzalishwa kwa kutumia Swagger/OpenAPI. Nyaraka za kiolesura cha msimbo ZINAWEZA kuzalishwa kwa kutumia zana kama vile JSDoc (JavaScript), ESDoc (JavaScript), pydoc (Python), devtools (R), pkgdown (R), na Doxygen (nyingi). Kuwa na maoni tu katika msimbo wa utekelezaji haitoshi kutosheleza kigezo hiki; kunahitaji kuwa na njia rahisi ya kuona habari bila kusoma kupitia msimbo wote wa chanzo. Ikiwa mradi hauzalishi programu, chagua "haihusiki" (N/A).

    External interfaces are documented through multiple mechanisms. docs/reference/scripts.md provides CLI argument references and variable documentation for all submission and deployment scripts. docs/reference/scripts-examples.md provides usage examples. config/recording_config.schema.json is a formal JSON Schema defining the recording configuration interface with property types, descriptions, constraints, and defaults. docs/deprecation-policy.md defines a 90-day deprecation lifecycle with migration templates for interface changes. The Terraform modules document their variables in variables.tf and variables.core.tf with descriptions and types. Shell scripts support --config-preview for interface discovery.

    Evidence:


  • Mengine


    Tovuti za mradi (tovuti, hifadhi, na URL za kupakua) LAZIMA zisaidie HTTPS kwa kutumia TLS. [sites_https]
    Hii inahitaji kwamba URL ya ukurasa wa nyumbani wa mradi na URL ya hifadhi ya udhibiti wa toleo vianze na "https:", si "http:". Unaweza kupata vyeti vya bure kutoka Let's Encrypt. Miradi YAWEZA kutekeleza kigezo hiki kwa kutumia (kwa mfano) GitHub pages, GitLab pages, au SourceForge project pages. Ikiwa unasaidia HTTP, tunakuhimiza uelekeze trafiki ya HTTP kwenda HTTPS.

    The project is hosted on GitHub.com, which enforces HTTPS for all pages, API endpoints, and Git operations. There is no option to access the repository, issues, wiki, or any GitHub-hosted content via unencrypted HTTP — GitHub enforces TLS 1.2+ on all connections. The Docusaurus documentation site is deployed to GitHub Pages, which also enforces HTTPS. All URLs referenced in project documentation use HTTPS.

    Evidence:



    Mradi LAZIMA uwe na taratibu moja au zaidi za majadiliano (ikiwa ni pamoja na mabadiliko yaliyopendekezwa na masuala) yenye utafutaji, inaruhusu ujumbe na mada kuelekezwa kwa URL, inaruhusu watu wapya kushiriki katika baadhi ya majadiliano, na haihitaji usakinishaji wa upande wa mteja wa programu ya kibinafsi. [discussion]
    Mifano ya taratibu zinazokubalika ni pamoja na orodha za barua pepe zilizohifadhiwa, majadiliano ya suala la GitHub na ombi la kuvuta, Bugzilla, Mantis, na Trac. Taratibu za majadiliano yasiyo ya wakati mmoja (kama IRC) zinakubaliwa ikiwa zinakidhi vigezo hivi; hakikisha kuna utaratibu wa kuhifadhi unaoelekezwa kwa URL. JavaScript ya kibinafsi, ingawa haikubalika, inaruhusiwa.

    The project provides multiple discussion channels. GitHub Issues are enabled with 7 structured issue templates covering bug reports, feature requests, documentation issues, security vulnerability reports, and infrastructure requests. Each template includes pre-defined labels and placeholder guidance. GitHub Discussions are enabled for community Q&A and announcements. SUPPORT.md documents response time expectations per severity tier. The README.md links directly to both Issues and Discussions.

    Evidence:



    Mradi UNAPASWA kutoa nyaraka kwa Kiingereza na uweze kukubali ripoti za hitilafu na maoni kuhusu msimbo kwa Kiingereza. [english]
    Kiingereza kwa sasa ni lingua franca ya teknolojia ya kompyuta; kusaidia Kiingereza huongeza idadi ya wasanidi na wakaguzi tofauti wa uwezekano duniani kote. Mradi unaweza kukidhi kigezo hiki hata ikiwa lugha ya msingi ya wasanidi wake wakuu si Kiingereza.

    All project documentation, code comments, commit messages, issue templates, CI configuration, and contributor guides are written in English. The README.md, CONTRIBUTING.md, SECURITY.md, SUPPORT.md, GOVERNANCE.md, CHANGELOG.md, and all files under docs/ are in English. Issue templates and PR templates are in English. Conventional Commit messages are in English.

    Evidence:



    Mradi LAZIMA utunzwe. [maintained]
    Kama kiwango cha chini, mradi unapaswa kujaribu kujibu ripoti za tatizo muhimu na udhaifu. Mradi unaofuata kwa bidii nishani pengine unatengenezwa. Miradi yote na watu wana rasilimali zilizowekewa mipaka, na miradi ya kawaida lazima ikatae baadhi ya mabadiliko yaliyopendekezwa, hivyo rasilimali zilizowekewa mipaka na kukataa mapendekezo sio ishara ya mradi usiotekelezwa.

    Mradi unapojua kwamba hautatengenezwa tena, unapaswa kuweka kigezo hiki kama "Haikidhi" na utumie utaratibu sahihi ili kuwaonyesha wengine kwamba hautengenezwi. Kwa mfano, tumia "DEPRECATED" kama kichwa cha kwanza cha README yake, ongeza "DEPRECATED" karibu na mwanzo wa ukurasa wake wa nyumbani, ongeza "DEPRECATED" mwanzoni mwa maelezo ya mradi wa hifadhi ya msimbo, ongeza nishani isiyolindwa katika README yake na/au ukurasa wa nyumbani, iweke kama iliyolemewa katika hifadhi yoyote ya kifurushi (k.m., npm deprecate), na/au utumie mfumo wa alama wa hifadhi ya msimbo ili kuihifadhi (k.m., mpangilio wa "archive" wa GitHub, alama ya "archived" ya GitLab, hali ya "readonly" ya Gerrit, au hali ya mradi wa "abandoned" wa SourceForge). Majadiliano ya ziada yanaweza kupatikana hapa.

    The project is actively maintained with continuous development through March 2026. Four releases have been published (v0.1.0 through v0.4.0) with the latest in March 2026. Dependabot is configured across 7 ecosystem entries (pip ×4, terraform ×2, github-actions ×1) and actively submits weekly dependency update PRs. The main.yml CI pipeline runs on every push to main, and pr-validation.yml runs on every PR — both show recent successful runs. CODEOWNERS assigns @microsoft/edge-ai-core-dev as required reviewers across all file paths. Weekly scheduled workflows (sha-staleness-check.yml on Mondays, weekly-validation.yml on Mondays for documentation freshness, scorecard.yml on Sundays) run continuously.

    Evidence:


 Udhibiti wa Mabadiliko 9/9

  • Hifadhi ya chanzo ya kudhibiti toleo ya hadharani


    Mradi LAZIMA uwe na hifadhi ya chanzo ya kudhibiti toleo ambayo inaweza kusomwa hadharani na ina URL. [repo_public]
    URL YAWEZA kuwa sawa na URL ya mradi. Mradi YAWEZA kutumia matawi ya faragha (yasiyo ya umma) katika hali maalum wakati mabadiliko hayajatolewa hadharani (k.m., kwa kurekebisha udhaifu kabla haujafichuliwa kwa umma).

    The repository is public on GitHub at https://github.com/microsoft/physical-ai-toolchain. All source code, documentation, infrastructure-as-code, CI/CD workflows, issue templates, and configuration files are publicly visible. The repository settings are configured for public access with no authentication required to view, clone, or fork.

    Evidence:



    Hifadhi ya chanzo ya mradi LAZIMA ifuatilie mabadiliko yaliyofanywa, nani alifanya mabadiliko, na mabadiliko yalifanywa lini. [repo_track]

    The project uses Git for version control, which tracks every change with author identity, timestamp, commit message, and full diff. Every file modification is recorded in the Git history. GitHub's web interface provides commit history, blame view, and diff comparison for every file. The project enforces Conventional Commits format (feat:, fix:, docs:, chore:, etc.) via contribution guidelines, providing structured change descriptions.

    Evidence:



    Ili kuwezesha ukaguzi wa ushirikiano, hifadhi ya chanzo ya mradi LAZIMA ijumuishe matoleo ya kati kwa ukaguzi kati ya matoleo; HAIPASWA kujumuisha matoleo ya mwisho tu. [repo_interim]
    Miradi YAWEZA kuchagua kuondoa matoleo maalum ya kati kutoka hifadhi zao za chanzo za umma (k.m., zile zinazorekebi udhaifu maalum usiokuwa wa umma, huenda zisitolewe hadharani, au zijumuishe nyenzo ambazo haziwezi kuwekwa kisheria na haziko katika toleo la mwisho).

    All commits are pushed to the public GitHub repository continuously. The PR-based workflow ensures that every change is visible as a pull request before and after merge. Interim work-in-progress is visible through open PRs and feature branches. GitHub's branch protection rules require PR review before merging to main, so all interim states are publicly accessible. There is no private staging or hidden development — all work flows through the public repository.

    Evidence:



    INASHAURIWA kwamba programu ya kawaida ya udhibiti wa toleo iliyosambazwa itumike (k.m., git) kwa hifadhi ya chanzo ya mradi. [repo_distributed]
    Git haihitajiki kihususa na miradi inaweza kutumia programu ya udhibiti wa toleo iliyokusanyika (kama subversion) na sababu.

    Git is a distributed version control system. Every clone of the repository contains the complete history and can function independently. Contributors fork and clone the repository (as documented in CONTRIBUTING.md), work locally, and submit changes via pull requests. There is no single point of failure — any clone contains the full repository history and can serve as a restore point.

    Evidence:


  • Unambari wa toleo wa kipekee


    Matokeo ya mradi LAZIMA yawe na kitambulisho cha kipekee cha toleo kwa kila toleo linalokusudiwa kutumiwa na watumiaji. [version_unique]
    Hii YAWEZA kukidhi kwa njia mbalimbali ikiwa ni pamoja na vitambulisho vya kuwasilisha (kama kitambulisho cha kuwasilisha cha git au kitambulisho cha seti ya mabadiliko cha mercurial) au nambari ya toleo (ikiwa ni pamoja na nambari za toleo zinazotumia uainishaji wa maana au mipango ya tarehe kama YYYYMMDD).
    Every release has a unique version identifier. Four releases have been published: v0.1.0, v0.2.0, v0.3.0, and v0.4.0. Version numbers are managed by release-please automation, which reads Conventional Commits and bumps versions according to semantic versioning rules. The version is synchronized across pyproject.toml (Python package) and package.json (Node.js tooling) via release-please-config.json. Once a version is released, it is never reused or overwritten.
    
    Evidence:
    - https://github.com/microsoft/physical-ai-toolchain/tags
    - https://github.com/microsoft/physical-ai-toolchain/blob/main/release-please-config.json
    - https://github.com/microsoft/physical-ai-toolchain/blob/main/pyproject.toml
    - https://github.com/microsoft/physical-ai-toolchain/blob/main/package.json


    INASHAURIWA kwamba muundo wa nambari ya toleo ya Semantic Versioning (SemVer) au Calendar Versioning (CalVer) itumike kwa matoleo. INASHAURIWA kwamba wale wanaotumia CalVer wajumuishe thamani ya kiwango cha mdogo. [version_semver]
    Miradi kwa ujumla inapaswa kupendelea muundo wowote unaotarajiwa na watumiaji wao, k.m., kwa sababu ni muundo wa kawaida unaotumiwa na ikolojia yao. Ikolojia nyingi zinapendelea SemVer, na SemVer kwa ujumla hupendelewa kwa kiolesura cha programu ya programu (API) na zana za maendeleo ya programu (SDK). CalVer hutumiwa na miradi ambayo ni kubwa, ina idadi kubwa ya utegemezi ulioundwa kwa uhuru, ina upeo wa mara kwa mara unaobadilika, au ni ya muda muhimu. INASHAURIWA kwamba wale wanaotumia CalVer wajumuishe thamani ya kiwango cha mdogo, kwa sababu kujumuisha kiwango cha mdogo kunasaidia matawi yaliyotunzwa kwa wakati mmoja wakati wowote hilo linakuwa lazima. Miundo mingine ya nambari ya toleo inaweza kutumiwa kama nambari za toleo, ikiwa ni pamoja na vitambulisho vya kuwasilisha cha git au vitambulisho vya seti ya mabadiliko cha mercurial, mradi tu vikitambulisha matoleo kwa kipekee. Hata hivyo, baadhi ya mbadala (kama vitambulisho vya kuwasilisha cha git) vinaweza kusababisha matatizo kama vitambulisho vya toleo, kwa sababu watumiaji huenda wasiwe na uwezo wa kuamua kwa urahisi ikiwa wako na toleo la hivi karibuni. Muundo wa kitambulisho cha toleo unaweza kutokuwa wa maana kwa kutambulisha matoleo ya programu ikiwa wapokeaji wote wanaendesha toleo la hivi karibuni tu (k.m., ni msimbo wa tovuti moja au huduma ya mtandao ambayo inasasishwa mara kwa mara kupitia utoaji wa kuendelea).


    INASHAURIWA kwamba miradi itambulishe kila toleo ndani ya mfumo wao wa udhibiti wa toleo. Kwa mfano, INASHAURIWA kwamba wale wanaotumia git watambulishe kila toleo kwa kutumia lebo za git. [version_tags]

    Every release is tagged in the Git repository with a "v" prefix following the pattern vMAJOR.MINOR.PATCH. Four tags exist: v0.1.0, v0.2.0, v0.3.0, v0.4.0. Tags are created by release-please automation and are cryptographically signed using Sigstore gitsign keyless signing. The verify-tag-signature.yml workflow validates that all release tags are annotated (not lightweight) and carry valid cryptographic signatures. Tag integrity is verified via git tag -v with x509 format.

    Evidence:


  • Maelezo ya kutolewa


    Mradi LAZIMA utoe, katika kila toleo, maelezo ya toleo ambayo ni muhtasari unaosomeka na binadamu wa mabadiliko makuu katika toleo hilo ili kuwasaidia watumiaji kuamua ikiwa wanapaswa kusasisha na athari ya kusasisha itakuwa nini. Maelezo ya toleo LAZIMA yasiwe matokeo ghafi ya kumbukumbu ya udhibiti wa toleo (k.m., matokeo ya amri ya "git log" si maelezo ya toleo). Miradi ambayo matokeo yake hayakusudiwa kutumika tena katika maeneo mengi (kama programu kwa tovuti moja au huduma) NA wanaotumia utoaji wa kuendelea WAWEZA kuchagua "N/A". (URL inahitajika) [release_notes]
    Maelezo ya toleo YAWEZA kutekelezwa kwa njia mbalimbali. Miradi mingi hutoa katika faili inayoitwa "NEWS", "CHANGELOG", au "ChangeLog", kwa hiari na viendelezi kama ".txt", ".md", au ".html". Kihistoria neno "change log" lilimaanisha kumbukumbu ya kila mabadiliko, lakini ili kukidhi vigezo hivi kinachohitajika ni muhtasari unaosomeka na binadamu. Maelezo ya toleo YAWEZA badala yake kutolewa na taratibu za mfumo wa udhibiti wa toleo kama mtiririko wa Matoleo ya GitHub.

    CHANGELOG.md follows the Keep a Changelog format (https://keepachangelog.com/) with Semantic Versioning. Each release entry documents changes categorized by type: Added, Changed, Fixed, Documentation, Refactoring, Performance, Build System, Operations, Chores, Security, and Miscellaneous (dependency bumps). release-please automation generates changelog entries from Conventional Commit messages, ensuring every merged PR with a conventional prefix appears in the release notes. The release-please-config.json maps commit types to changelog sections. GitHub draft releases are also created by the release workflow.

    Evidence:



    Maelezo ya toleo LAZIMA yatambulishe kila udhaifu wa muda wa kutekeleza uliojulikana hadharani uliorekebishwa katika toleo hili ambao tayari ulikuwa na mgawanyo wa CVE au sawa wakati toleo lilipobuniwa. Kigezo hiki kinaweza kuwekwa alama kama haihusiki (N/A) ikiwa watumiaji kwa kawaida hawawezi kwa vitendo kusasisha programu wao wenyewe (k.m., kama inavyokuwa kweli mara nyingi kwa masasisho ya kernel). Kigezo hiki kinatumika tu kwa matokeo ya mradi, si kwa utegemezi wake. Ikiwa hakuna maelezo ya toleo au hakujawa na udhaifu uliojulikana hadharani, chagua N/A. [release_notes_vulns]
    Kigezo hiki kinawasaidia watumiaji kuamua ikiwa sasisho fulani litarekebisha udhaifu ambao unajulikana hadharani, ili kuwasaidia watumiaji kufanya uamuzi wa habari kuhusu kusasisha. Ikiwa watumiaji kwa kawaida hawawezi kwa vitendo kusasisha programu wao wenyewe kwenye kompyuta zao, lakini badala yake lazima wategemee wapatanishi mmoja au zaidi kutekeleza sasisho (kama inavyokuwa mara nyingi kwa kernel na programu ya kiwango cha chini ambayo imefungwa na kernel), mradi unaweza kuchagua "haihusiki" (N/A) badala yake, kwani habari hii ya ziada haitakuwa ya msaada kwa watumiaji hao. Vivyo hivyo, mradi unaweza kuchagua N/A ikiwa wapokeaji wote wanaendesha toleo la hivi karibuni tu (k.m., ni msimbo wa tovuti moja au huduma ya mtandao ambayo inasasishwa mara kwa mara kupitia utoaji wa kuendelea). Kigezo hiki kinatumika tu kwa matokeo ya mradi, si kwa utegemezi wake. Kuorodhesha udhaifu wa utegemezi wote wa mpito wa mradi unakuwa mgumu kadiri utegemezi unavyoongezeka na kutofautiana, na haihitajiki kwani zana zinazochunguza na kufuatilia utegemezi zinaweza kufanya hivi kwa njia inayopanuka.

    No CVEs have been filed against this project to date. However, the release notes infrastructure is in place to document vulnerability fixes when they occur. Security-relevant dependency bumps (e.g., werkzeug, flask, cryptography) are tracked in the CHANGELOG.md under the Miscellaneous/Dependencies section. The release-please-config.json includes a dedicated "security" changelog section mapped to the "security" commit type, ensuring any security fix committed with "security:" prefix appears prominently in release notes. Additionally, GHSA vulnerability remediations are tracked and documented (e.g., PR #271).

    Evidence:


 Kuripoti 8/8

 Ubora 13/13

 Usalama 16/16

  • Maarifa ya maendeleo yenye usalama


    Mradi LAZIMA uwe na angalau msanidi mmoja mkuu anayejua jinsi ya kuunda programu salama. (Angalia 'maelezo' kwa mahitaji halisi.) [know_secure_design]
    Hii inahitaji kuelewa kanuni zifuatazo za muundo, ikiwa ni pamoja na kanuni 8 kutoka Saltzer na Schroeder:
    • uchumi wa utaratibu (weka muundo kuwa rahisi na mdogo iwezekanavyo, k.m., kwa kupitisha urahisishaji wa kufunga)
    • mipangilio ya kuzuia makosa (maamuzi ya kuingia yanapaswa kukataa kwa chaguo-msingi, na usakinishaji wa miradi unapaswa kuwa salama kwa chaguo-msingi)
    • kikuu cha kati kikamilifu (kuingia kote kunaweza kuwekwa kikomo lazima kufanyiwa ukaguzi wa mamlaka na kutowezesha kuvukwa)
    • muundo wazi (taratibu za usalama hazipaswi kutegemea ujinga wa mshambuliaji wa muundo wake, lakini badala yake kwenye habari iliyolindwa na kubadilishwa kwa urahisi kama funguo na nywila)
    • kutenganisha kwa upendeleo (kwa kawaida, ufikiaji kwa vitu muhimu unapaswa kutegemea zaidi ya sharti moja, ili kushinda mfumo mmoja wa ulinzi hautawasha ufikiaji kamili. K.m., uthibitishaji wa vipengele vingi, kama vile kuhitaji nywila na ishara za vifaa, ni imara zaidi kuliko uthibitishaji wa kipengele kimoja)
    • upendeleo mdogo zaidi (michakato inapaswa kufanya kazi na upendeleo mdogo zaidi unaohitajika)
    • utaratibu wa kawaida mdogo zaidi (muundo unapaswa kupunguza utaratibu wa kawaida kwa zaidi ya mtumiaji mmoja na kutegemewa na watumiaji wote, k.m., saraka za mafaili ya muda)
    • kukubalika kwa kisaikolojia (kiolesura cha binadamu lazima kiwe kimeundwa kwa urahisi wa matumizi - kuunda kwa "mshangao mdogo" kunaweza kusaidia)
    • uso wa shambulio uliowekewa mipaka (uso wa shambulio - seti ya sehemu tofauti ambapo mshambuliaji anaweza kujaribu kuingia au kutoa data - unapaswa kuwekwa mipaka)
    • uthibitishaji wa ingizo na orodha zinazokubalika (pembejeo kawaida zinapaswa kuangaliwa ili kuamua kama ni halali kabla ya kukubalika; uthibitishaji huu unapaswa kutumia orodha zinazokubalika (zinazokubali tu thamani zinazojulikana-nzuri), siyo orodha zinazokana (zinaozojaribu kuorodhesha thamani zinazojulikana-mbaya)).
    "Msanidi mkuu" katika mradi ni mtu yeyote ambaye anajua msingi wa msimbo wa mradi, ana faraja kufanya mabadiliko kwake, na anatambuliwa hivyo na washiriki wengine wengi katika mradi. Msanidi mkuu kawaida atafanya michango mingi kwa mwaka uliopita (kupitia msimbo, nyaraka, au kujibu maswali). Wasanidi kawaida wangeweza kuchukuliwa wasanidi wakuu ikiwa walianzisha mradi (na hawajatoka kwenye mradi zaidi ya miaka mitatu iliyopita), wana chaguo la kupokea habari kwenye kituo cha kuripoti udhaifu wa kibinafsi (ikiwa kuna), wanaweza kukubali ahadi kwa niaba ya mradi, au kufanya matoleo ya mwisho ya programu ya mradi. Ikiwa kuna msanidi mmoja tu, mtu huyo ndiye msanidi mkuu. Vitabu vingi na kozi zinapatikana kukusaidia kuelewa jinsi ya kuunda programu salama zaidi na kujadili muundo. Kwa mfano, kozi ya Misingi ya Maendeleo ya Programu Salama ni seti huru ya kozi tatu zinazoeleza jinsi ya kuunda programu salama zaidi (ni bure ukiifanyia ukaguzi; kwa ada ya ziada unaweza kupata cheti kuthibitisha ulijifunza nyenzo).

    The project demonstrates knowledge of secure design principles through a comprehensive STRIDE-based threat model (docs/security/threat-model.md) identifying 19 threats across 8 trust boundaries (1 Critical, 6 High, 7 Medium, 5 Low severity). The architecture follows zero-trust principles: managed identities instead of passwords, TLS 1.2+ enforced on all connections, private AKS clusters by default, network segmentation via NSGs and private endpoints. The project operates under Microsoft's OSS security governance with SECURITY.md following MSRC template V0.0.9, and docs/contributing/security-review.md provides a security review checklist for contributors.

    Evidence:



    Angalau mmoja wa wasanidi wakuu wa mradi LAZIMA wajue aina za kawaida za makosa ambayo husababisha udhaifu katika aina hii ya programu, pamoja na angalau mbinu moja ya kukabiliana au kupunguza kila moja. [know_common_errors]
    Mifano (kulingana na aina ya programu) ni pamoja na uvamizi wa SQL, uvamizi wa OS, mtiririko wa kipengele cha kawaida, uandishi wa tovuti-tofauti, uthibitishaji unaokosekana, na uidhinishaji unaokosekana. Angalia CWE/SANS top 25 au OWASP Top 10 kwa orodha zinazotumika kawaida. Vitabu vingi na kozi zinapatikana kukusaidia kuelewa jinsi ya kuunda programu salama zaidi na kujadili makosa ya kawaida ya utekelezaji ambayo husababisha udhaifu. Kwa mfano, kozi ya Misingi ya Maendeleo ya Programu Salama ni seti huru ya kozi tatu zinazoeleza jinsi ya kuunda programu salama zaidi (ni bure ukiifanyia ukaguzi; kwa ada ya ziada unaweza kupata cheti kuthibitisha ulijifunza nyenzo).

    The project demonstrates awareness of common security errors through multiple mechanisms: CodeQL with security-extended and security-and-quality query suites catches OWASP Top 10 vulnerabilities (injection, XSS, path traversal, etc.) on every PR. The STRIDE threat model in docs/security/threat-model.md catalogs 19 specific threats with mitigations. Integration with Microsoft Security Response Center (MSRC) provides access to Microsoft's vulnerability intelligence. dependency-review.yml fails on moderate+ severity vulnerabilities. The project's architecture avoids common errors by design — managed identities eliminate credential storage, TLS is enforced (not optional), and the default network mode is fully private.

    Evidence:


  • Tumia mazoea mazuri ya msingi ya usimbuaji

    Kumbuka kwamba programu fulani haihitaji kutumia taratibu za usimbuaji. Ikiwa mradi wako unazalisha programu ambayo (1) inajumuisha, inaamilisha, au inafanya usimbuaji kuwa hai, na (2) inaweza kutolewa kutoka Marekani (US) kwenda nje ya Marekani au kwa raia asiye wa Marekani, inaweza kuwa ni lazima kisheria kuchukua hatua chache za ziada. Kawaida hii inahusisha tu kutuma barua pepe. Kwa maelezo zaidi, tazama sehemu ya usimbuaji ya Kuelewa Teknolojia ya Chanzo Wazi & Udhibiti wa Usafirishaji wa Marekani.

    Programu iliyotengenezwa na mradi LAZIMA itumie, kwa chaguo-msingi, tu itifaki za kriptografia na mifumbo ambazo zimechapishwa hadharani na kukaguliwa na wataalam (ikiwa itifaki za kriptografia na mafumbo imetumika). [crypto_published]
    Vigezo hivi vya kriptografia mara mingi havitumiki kwa sababu programu zingine hazina haja ya kutumia moja kwa moja uwezo wa kriptografia.

    The project does not implement custom cryptographic algorithms. All cryptography is delegated to well-known, publicly reviewed implementations: Azure SDK (azure-identity, azure-storage) for authentication and storage encryption, TLS 1.2+ via standard libraries for transport security, and Sigstore gitsign for release tag signing. These are all industry-standard, published cryptographic mechanisms undergoing continuous public review and audit.

    Evidence:



    Ikiwa programu iliyotengenezwa na mradi ni programu au maktaba, na kusudi lake la msingi sio kutekeleza usimbuaji, basi INAPASWA tu kuita programu iliyoundwa kihususa kutekeleza kazi za kielelezo; HAIPASWI kutekeleza-upya shughuli hiyo. [crypto_call]

    All cryptographic functionality is invoked via dedicated, well-maintained cryptographic libraries rather than custom implementations: Azure Identity SDK for authentication (OAuth2, managed identity tokens), Azure Storage SDK for encryption at rest/in transit, Python ssl module for TLS, and Sigstore for code signing. No project code implements its own cryptographic primitives, key derivation, or encryption algorithms.

    Evidence:



    Utendaji wote katika programu iliyotengenezwa na mradi ambayo inategemea usimbuaji LAZIMA iweze kutekelezwa kwa kutumia FLOSS. [crypto_floss]

    All cryptographic libraries used are FLOSS: Azure SDK for Python (MIT License — https://github.com/Azure/azure-sdk-for-python), Python's ssl module (PSF License), OpenSSL (Apache-2.0), and Sigstore (Apache-2.0 — https://github.com/sigstore). No proprietary cryptographic libraries are used anywhere in the project.

    Evidence:



    Mifumo ya usalama ndani ya programu inayozalishwa na mradi LAZIMA itumie kwa msingi keylengths ambazo angalau zinakidhi mahitaji ya chini ya NIST kufikia mwaka wa 2030 (kama ilivyoelezwa mnamo 2012). LAZIMA iwe rahisi kusanidi programu ili keylengths ndogo zimezimwa kabisa. [crypto_keylength]
    Vipimo hivi vya urefu wa charaza ni: symmetric key 112, factoring modulus 2048, discrete logarithm key 224, discrete logarithmic group 2048, elliptic curve 224, na hash 224 (ufichuzi wa nywila haujashughulikiwa kwenye urefu wa charaza hii, maelezo zaidi ya ufichuzi wa nywila yanapatikana ndani ya kigezo cha crypto_password_storage). Ona https://www.keylength.com kwa mliganisho wa mapendekezo ya funguo-refu kutoka mashirika mbali mbali. Programu YAWEZA kubali funguo-refu ndogo katika usanidi (haifai kukubali, maana hii huwacha mashambulizi ya kushusha, lakini funguo-refu fupi wakati mwingine ina manufaa ya upatanifu).

    The project enforces modern cryptographic key lengths. TLS 1.2+ is the minimum enforced version (configured in Terraform storage.tf for Azure Storage and across all Azure service connections), which mandates minimum 128-bit symmetric keys and 2048-bit RSA keys. Azure Managed Identity tokens use 2048-bit RSA. Sigstore gitsign uses ECDSA P-256 for release signing. No deprecated or weak key lengths (e.g., 1024-bit RSA, 56-bit DES) are used anywhere.

    Evidence:



    Mifumo ya usalama ya chaguo-msingi ndani ya programu inayozalishwa na mradi LAZIMA ISITEGEMEE algoriti zilizovunjika za kriptologia (k.m., MD4, MD5, DES moja, RC4, Dual_EC_DRBG), au kutumia hali za cipher ambazo si sahihi kwa muktadha, isipokuwa ni muhimu kutekeleza itifaki inayoweza kushirikiana (ambapo itifaki iliyotekelezwa ni toleo la hivi karibuni zaidi la kiwango hicho kinachotegemeana sana na mfumo wa mtandao, mfumo huo unahitaji matumizi ya algoriti au hali hiyo, na mfumo huo haupatii chaguo lolote salama zaidi). Nyaraka LAZIMA zieleze hatari zozote za usalama husika na upungufu wowote unaojulikana ikiwa algoriti hizi zilizovunjika au hali ni muhimu kwa itifaki inayoweza kushirikiana. [crypto_working]
    Hali ya ECB ni karibu kamwe haifai kwa sababu inaonyesha block zinazofanana ndani ya ciphertext kama ilivyoonyeshwa na penguin wa ECB, na hali ya CTR mara nyingi si sahihi kwa sababu haifanyi uthibitishaji na husababisha nakala ikiwa hali ya ingizo inarudiwa. Katika hali nyingi ni bora kuchagua hali ya algoriti ya block cipher iliyoundwa kuchanganya siri na uthibitishaji, k.m., Galois/Counter Mode (GCM) na EAX. Miradi YAWEZA kuwaruhusu watumiaji kuwasha taratibu zilizovunjika (k.m., wakati wa usanidi) ambapo ni muhimu kwa upatanifu, lakini hapo watumiaji wanajua wanafanya hivyo.

    The project uses no broken cryptographic algorithms. The threat model in docs/security/threat-model.md confirms no use of MD4, MD5 (for security), single DES, RC4, or other deprecated algorithms. TLS 1.2+ is enforced, which excludes all known broken cipher suites. Azure SDK handles cipher suite negotiation using current best practices. SHA-256 is the minimum hash algorithm used (e.g., SHA-pinning of GitHub Actions uses SHA-256 hashes).

    Evidence:



    Mifumo ya usalama ya chaguo-msingi ndani ya programu inayozalishwa na mradi INAPASWA ISITEGEMEE algoriti za kriptologia au hali zenye udhaifu mkubwa unaojulikana (k.m., algoriti ya hash ya kriptologia ya SHA-1 au hali ya CBC katika SSH). [crypto_weaknesses]
    Wasiwasi kuhusu hali ya CBC katika SSH unajadiliwa katika CERT: SSH CBC vulnerability.

    The default cryptographic configuration avoids known weaknesses. No SHA-1 is used for any security purpose. TLS 1.2+ with modern cipher suites is the minimum (excludes CBC-mode ciphers vulnerable to padding oracle attacks). Azure services enforce forward secrecy cipher suites by default. The dependency-review.yml workflow with fail-on-severity: moderate would catch any newly-introduced dependency with known cryptographic weaknesses.

    Evidence:



    Mifumo ya usalama ndani ya programu iliyotengenezwa na mradi INAPASWA kutekeleza kwa ukamilifu usiri wa umbele ya itifaki za makubaliano ya funguo ili funguo la kipindi kilicho tokana na kikao cha vifungo muda-mrefu haziwezi kuridhi mabaya ikiwa mojawapo ya vifunguo vya muda-mrefu imeridhi mabaya katika usoni. [crypto_pfs]

    All TLS connections enforced by the project use Azure services that enable Perfect Forward Secrecy (PFS) by default. Azure Front Door, App Service, Storage, and AKS ingress controllers negotiate ECDHE cipher suites that provide PFS. TLS 1.2+ (enforced in the infrastructure) mandates PFS-capable cipher suites. The project does not configure any TLS settings that would disable PFS. Azure's documentation confirms PFS support: https://learn.microsoft.com/en-us/azure/security/fundamentals/encryption-overview.

    Evidence:



    Ikiwa programu iliyotengenezwa na mradi imesababisha uhifadhi wa nywila kwa minajili ya uthibitishaji ya watumiaji wa kutoka nje, nywila LAZIMA zihifadhiwe kwa mficho uliorudiarudia na chumvi kwa kila-mtumiaji kwa kutumia kanuni ya upanuaji (rudiarudia) wa funguo (k.m., Argon2id, Bcrypt, Scrypt, or PBKDF2). Ona pia Kurasadogo ya Uhifadhi wa Nywila la OWASP). [crypto_password_storage]
    Kigezo hili linatumika tu wakati programu linatekeleza uthibitishaji wa watumiaji kutumia nywila kwa watumiaji wa nje (ambayo pia ni uthibitishaji unaelekezwa ndani), kama vile programu za tovuti zinazobakia seva). Haitumiki katika visa ambavyo programu inahifadhi nywila ili kudhibitisha ndani ya mifumo mingine (ambayo pia ni ithibitishaji unaelekezwa nje, k.m., programu inatekeleza teja la mfumo lingineyo), maana angalau sehemu za programu lazima ziwe na njia ya kupata hiyo nywila isigalifichwa.

    The project does not store, hash, or manage user passwords in any form. All authentication is delegated to external identity providers: Azure Managed Identity for service-to-service authentication (no credentials stored), Microsoft Entra ID (Azure AD) for user authentication via OAuth2/OIDC, and Kubernetes service account tokens federated via workload identity. The Terraform infrastructure creates managed identities and federated credentials — no password fields, no credential databases, no user account tables exist anywhere in the codebase. The threat model confirms this: "managed identities (no passwords)" is an explicit design principle.

    Evidence:



    Mifumo ya usalama ndani ya programu iliyotengenezwa na mradi LAZIMA itoe funguo zote za kriptologia na nonces kwa kutumia kitengeneza cha nambari za bahati kuptia kriptologia salama, na ISIWEZE kufanya hivo kutumia vitengenezi zisizo salama kikriptologia. [crypto_random]
    Kitengeneza cha nambari za bahati nasibu za kriptologia salama kinaweza kuwa kitengeneza cha nambari za bahati nasibu za vifaa, au kinaweza kuwa kitengeneza cha nambari za bahati nasibu za kriptologia salama (CSPRNG) kwa kutumia algoriti kama vile Hash_DRBG, HMAC_DRBG, CTR_DRBG, Yarrow, au Fortuna. Mifano ya simu kwa vitengeneza cha nambari za bahati nasibu salama ni pamoja na java.security.SecureRandom ya Java na window.crypto.getRandomValues ya JavaScript. Mifano ya simu kwa vitengeneza cha nambari za bahati nasibu zisizo salama ni pamoja na java.util.Random ya Java na Math.random ya JavaScript.

    The project does not directly generate cryptographic random numbers. All operations requiring cryptographic randomness are delegated to external libraries and services: Azure SDK handles authentication token generation, TLS libraries handle session key generation, and Sigstore handles signing nonce generation. No project code calls random number generators for security-sensitive purposes (key generation, nonce creation, token generation, etc.). The codebase contains no imports of cryptographic random modules (e.g., secrets, os.urandom) for security purposes.

    Evidence:


  • Utoaji salama dhidi ya mashambulizi ya mtu-katikati (MITM)


    Mradi LAZIMA utumie utaratibu wa utoaji ambao unakabiliana na mashambulizi ya MITM. Kutumia https au ssh+scp ni inakubaliwa. [delivery_mitm]
    Utaratibu wenye nguvu zaidi ni kutoa programu na vifurushi vilivyosainiwa kidigitali, kwa kuwa hiyo inapunguza mashambulizi kwenye mfumo wa usambazaji, lakini hii inafanya kazi tu ikiwa watumiaji wanaweza kuwa na uhakika kwamba funguo za umma kwa saini ni sahihi na ikiwa watumiaji watakagua saini kweli kweli.

    The project delivers all artifacts over cryptographically-protected channels resistant to man-in-the-middle attacks. GitHub enforces HTTPS for all repository access (web, API, Git clone). PyPI packages installed via uv/pip use HTTPS by default. npm packages use HTTPS by default. Terraform providers are downloaded from registry.terraform.io over HTTPS with GPG verification. Docker/container images from nvcr.io and mcr.microsoft.com use HTTPS with content-addressable digests. GitHub Actions are SHA-pinned (95% compliance — verified by dependency-pinning-scan.yml) preventing tag-swapping attacks. Release tags are Sigstore-signed, providing cryptographic verification of release integrity.

    Evidence:



    Hash ya kriptologia (k.m., sha1sum) LAZIMA ISICHUKULIWE kupitia http na kutumika bila kuangalia saini ya kriptologia. [delivery_unsigned]
    Hash hizi zinaweza kurekebishwa wakati wa usafiri.

    The project provides a mechanism to verify the integrity of downloaded artifacts. Release tags are cryptographically signed using Sigstore gitsign keyless signing, verified by the verify-tag-signature.yml workflow. The main.yml CI pipeline generates SBOM (Anchore SPDX-JSON format) and build provenance attestation for releases, providing a verifiable software bill of materials. GitHub Actions SHA-pinning (95% compliance) ensures CI dependencies are integrity-verified. Container images referenced in workflows use SHA digests for integrity verification. Users can verify release authenticity via git tag -v.

    Evidence:


  • Udhaifu uliofahamika hadharani umeshughulikiwa


    LAZIMA kuwe hakuna udhaifu usiorekebishwa wa kiwango cha kati au juu zaidi ambao umejulikana hadharani kwa zaidi ya siku 60. [vulnerabilities_fixed_60_days]
    Udhaifu lazima urekebishwe na kutolewa na mradi wenyewe (rekebisho zinaweza kutengenezwa mahali pengine). Udhaifu unakuwa unajulikana hadharani (kwa kusudi hili) mara tu unapata CVE yenye taarifa zilizotolewa hadharani zisizolipwa (zilizoripotiwa, kwa mfano, katika Hifadhidata ya Taifa ya Udhaifu) au wakati mradi umefahamishwa na taarifa imetolewa kwa umma (labda na mradi). Udhaifu unazingatiwa kuwa wa kiwango cha kati au juu ikiwa alama yake ya Common Vulnerability Scoring System (CVSS) ya msingi ya ubora ni kati au juu. Katika matoleo ya CVSS 2.0 hadi 3.1, hii ni sawa na alama ya CVSS ya 4.0 au zaidi. Miradi inaweza kutumia alama ya CVSS kama ilivyochapishwa katika hifadhidata ya udhaifu inayotumika sana (kama vile Hifadhidata ya Taifa ya Udhaifu) kwa kutumia toleo la hivi karibuni la CVSS lililoripotiwa katika hifadhidata hiyo. Miradi badala yake inaweza kuhesabu ukali wao wenyewe kwa kutumia toleo la hivi karibuni la CVSS wakati wa ufunuzi wa udhaifu, ikiwa ingizo la hesabu linatangazwa hadharani mara tu udhaifu unajulikana hadharani. Kumbuka: hii inamaanisha kwamba watumiaji wanaweza kuachwa katika hatari kwa washambuliaji wote duniani kwa siku hadi 60. Kigezo hiki ni rahisi zaidi kukidhi kuliko yale Google inapendekeza katika Rebooting responsible disclosure, kwa sababu Google inapendekeza kwamba kipindi cha siku 60 kianze wakati mradi unafahamishwa hata ikiwa ripoti si ya umma. Pia kumbuka kwamba kigezo hiki cha nishani, kama vigezo vingine, kinatumika kwa mradi wa mtu binafsi. Baadhi ya miradi ni sehemu ya mashirika makubwa ya mwavuli au miradi mikubwa, labda katika safu nyingi, na miradi mingi inatoa matokeo yao kwa mashirika mengine na miradi kama sehemu ya mnyororo wa usambazaji wenye utata. Mradi wa mtu binafsi mara nyingi hauwezi kudhibiti wengine, lakini mradi wa mtu binafsi unaweza kufanya kazi kutoa rekebisho ya udhaifu kwa wakati. Kwa hiyo, tunazingatia tu muda wa jibu wa mradi wa mtu binafsi. Mara tu rekebisho inapatikana kutoka kwa mradi wa mtu binafsi, wengine wanaweza kuamua jinsi ya kushughulikia rekebisho (k.m., wanaweza kusasisha kwenye toleo jipya au wanaweza kutumia rekebisho tu kama suluhisho lililochaguliwa-cherry).

    The project has multiple automated systems ensuring vulnerabilities are identified and fixed promptly. Dependabot monitors 7 ecosystem entries (pip ×4, terraform ×2, github-actions ×1) and automatically creates PRs for vulnerable dependencies on a weekly schedule. dependency-review.yml runs on every PR and fails on moderate+ severity vulnerabilities, preventing new vulnerable dependencies from being introduced. CodeQL scans for code-level vulnerabilities on every PR and push to main. Gitleaks scans for leaked secrets on every PR. SUPPORT.md documents security issues as highest priority with a 24-hour response SLA. PR #233 adds explicit vulnerability remediation timeline documentation. PR #271 demonstrates active GHSA vulnerability remediation.

    Evidence:



    Miradi INAPASWA kurekebisha udhaifu wote muhimu haraka baada ya kuripotiwa. [vulnerabilities_critical_fixed]

    Critical vulnerabilities receive highest priority treatment. SECURITY.md and SUPPORT.md document a 24-hour response SLA for security issues. Dependabot creates automatic PRs for all critical/high severity dependency vulnerabilities. dependency-review.yml blocks PRs introducing moderate+ severity dependencies. Gitleaks-scan.yml detects leaked credentials with full history scan, uploaded as SARIF to GitHub Security tab. The project has demonstrated active vulnerability remediation — PR #271 addresses GHSA vulnerabilities, confirming the process works in practice. The automated pipeline (Dependabot → dependency-review → CODEOWNERS review → CI gate) ensures critical fixes flow through quickly.

    Evidence:


  • Masuala mengine ya usalama


    Hazina za umma LAZIMA ZISIVUJE uthibitisho halali wa faragha (k.m., nywila inayofanya kazi au funguo ya faragha) ambayo imekusudiwa kupunguza upatikanaji wa umma. [no_leaked_credentials]
    Mradi UNAWEZA kuvuja uthibitisho wa "sampuli" kwa majaribio na hifadhidata zisizo muhimu, mradi tu hazikusudiwa kupunguza upatikanaji wa umma.

    Multiple layers prevent credential leakage: (1) .gitignore excludes sensitive files: *.env, .env.local, *.tfvars, *.tfstate, *.pfx, *.publishsettings, and other credential-containing patterns. (2) gitleaks-scan.yml (Gitleaks v8.30.0 with SHA256 verification) scans the full repository history on every PR, uploading SARIF results to GitHub Security tab. (3) All CI workflows set persist-credentials: false on checkout steps, preventing credential persistence in workflow artifacts. (4) Architecture uses managed identities exclusively — no passwords or API keys exist in the codebase by design. (5) dependency-pinning-scan.yml validates 95% SHA-pinning compliance, preventing token exposure via tag-swapping attacks. (6) workflow-permissions-scan.yml enforces least-privilege permissions blocks on all workflows.

    Evidence:


 Uchanganuzi 8/8

  • Uchambuzi tuli wa msimbo


    Angalau zana moja ya uchambuzi wa msimbo tuli (zaidi ya maonyo ya mkusanyaji na hali za lugha "salama") LAZIMA itumike kwa toleo lolote lililopendekezwa kubwa la uzalishaji wa programu kabla ya toleo lake, ikiwa kuna angalau zana moja ya FLOSS inayotekeleza kigezo hiki katika lugha iliyochaguliwa. [static_analysis]
    Zana ya uchambuzi wa msimbo tuli inachunguza msimbo wa programu (kama msimbo wa chanzo, msimbo wa kati, au utekelezaji) bila kuutekeleza na ingizo maalum. Kwa madhumuni ya kigezo hiki, maonyo ya mkusanyaji na hali za lugha "salama" hazihesabiwi kama zana za uchambuzi wa msimbo tuli (hizi kwa kawaida huepuka uchambuzi wa kina kwa sababu kasi ni muhimu). Baadhi ya zana za uchambuzi wa msimbo tuli zinazingatia kugundua hitilafu za jumla, nyingine zinazingatia kupata aina fulani za hitilafu (kama vile udhaifu), na baadhi hufanya mchanganyiko. Mifano ya zana hizo za uchambuzi wa msimbo tuli ni pamoja na cppcheck (C, C++), clang static analyzer (C, C++), SpotBugs (Java), FindBugs (Java) (ikiwa ni pamoja na FindSecurityBugs), PMD (Java), Brakeman (Ruby on Rails), lintr (R), goodpractice (R), Coverity Quality Analyzer, SonarQube, Codacy, na HP Enterprise Fortify Static Code Analyzer. Orodha kubwa za zana zinaweza kupatikana katika maeneo kama vile orodha ya Wikipedia ya zana za uchambuzi wa msimbo tuli, taarifa za OWASP kuhusu uchambuzi wa msimbo tuli, orodha ya NIST ya vichambua usalama wa msimbo wa chanzo, na orodha ya Wheeler ya zana za uchambuzi tuli. Ikiwa hakuna zana za uchambuzi tuli za FLOSS zinazopatikana kwa lugha za utekelezaji zilizotumika, unaweza kuchagua 'N/A'.

    The project employs multiple static analysis tools integrated into CI: (1) CodeQL (codeql-analysis.yml) — GitHub's semantic code analysis engine running security-extended and security-and-quality query suites (maximum coverage) on Python code, triggered on every PR, push to main, and weekly schedule, with SARIF results uploaded to GitHub Security tab. (2) Ruff (python-lint.yml) — fast Python linter with 8 rule sets (E, W, F, I, UP, B, SIM, RUF) covering errors, warnings, pyflakes, import sorting, Python upgrade patterns, bugbear, simplification, and Ruff-specific rules, plus format checking. (3) markdownlint-cli2 for Markdown, PSScriptAnalyzer for PowerShell, yaml-lint for YAML, ESLint and TypeScript --noEmit for frontend code. All tools run as required checks in the 16-job pr-validation.yml pipeline — no code merges without passing static analysis.

    Evidence:



    INAPENDEKEZWA kwamba angalau moja ya zana za uchambuzi tuli zilizotumika kwa kigezo cha static_analysis ijumuishe sheria au njia za kutafuta udhaifu wa kawaida katika lugha au mazingira yaliyochambuliwa. [static_analysis_common_vulnerabilities]
    Zana za uchambuzi tuli ambazo zimeundwa hasa kutafuta udhaifu wa kawaida zina uwezekano mkubwa wa kuzipata. Hata hivyo, kutumia zana zozote za tuli kwa kawaida itasaidia kupata baadhi ya matatizo, kwa hivyo tunashauri lakini hatunahitaji hii kwa kiwango cha nishani ya 'kupita'.

    CodeQL runs with both "security-extended" and "security-and-quality" query suites — these are GitHub's most comprehensive security query sets, specifically designed to detect common vulnerabilities including: SQL injection, cross-site scripting (XSS), path traversal, code injection, insecure deserialization, SSRF, hardcoded credentials, and other OWASP Top 10 categories. The security-extended suite goes beyond the default security queries to catch additional vulnerability patterns. Results are uploaded as SARIF to the GitHub Security tab, providing a centralized view of all detected security findings.

    Evidence:



    Udhaifu wote wenye ukali wa kati na juu zaidi unaoweza kudhoofishwa uliogundulika kupitia uchambuzi wa msimbo tuli LAZIMA urekebishwe kwa wakati baada ya kuthibitishwa. [static_analysis_fixed]
    Udhaifu unazingatiwa kuwa wa kiwango cha kati au juu zaidi ikiwa alama yake ya Common Vulnerability Scoring System (CVSS) ya msingi ya ubora ni kati au juu. Katika matoleo ya CVSS 2.0 hadi 3.1, hii ni sawa na alama ya CVSS ya 4.0 au zaidi. Miradi inaweza kutumia alama ya CVSS kama ilivyochapishwa katika hifadhidata ya udhaifu inayotumika sana (kama vile Hifadhidata ya Taifa ya Udhaifu) kwa kutumia toleo la hivi karibuni la CVSS lililoripotiwa katika hifadhidata hiyo. Miradi badala yake inaweza kuhesabu ukali wao wenyewe kwa kutumia toleo la hivi karibuni la CVSS wakati wa ufunuzi wa udhaifu, ikiwa ingizo la hesabu linatangazwa hadharani mara tu udhaifu unajulikana hadharani. Kumbuka kwamba kigezo cha vulnerabilities_fixed_60_days kinahitaji kwamba udhaifu wote kama huo urekebishwe ndani ya siku 60 baada ya kuwa wa umma.

    Static analysis findings are fixed before release as a matter of CI enforcement. CodeQL, Ruff, and all linter checks are required jobs in pr-validation.yml — no PR can merge with static analysis failures. The main.yml pipeline runs the same checks on push to main, and the release-please job depends on all 13 quality/security gate jobs passing, meaning no release is cut unless all static analysis is clean. CodeQL SARIF results in the GitHub Security tab provide tracking of any findings that require attention.

    Evidence:



    INAPENDEKEZWA kwamba uchambuzi wa msimbo wa chanzo tuli ufanyike kwenye kila ahadi au angalau kila siku. [static_analysis_often]

    Static analysis runs on every code change: pr-validation.yml invokes CodeQL and Ruff on every pull request, main.yml invokes them on every push to main, and codeql-analysis.yml additionally runs on a weekly schedule (Sundays at 03:00 UTC) for continuous monitoring even without code changes. This means static analysis runs at minimum weekly, and in practice runs multiple times per day during active development as PRs are opened and updated. The OpenSSF Scorecard (scorecard.yml) also runs weekly, providing independent assessment of the project's security posture.

    Evidence:


  • Uchambuzi wa msimbo wa nguvu za ziada


    INAPENDEKEZWA kwamba angalau zana moja ya uchambuzi wa nguvu itumike kwenye toleo kubwa lolote la uzalishaji lililopendekezwa la programu kabla ya kutolewa kwake. [dynamic_analysis]
    Zana ya uchambuzi wa nguvu inachunguza programu kwa kuitekeleza na ingizo maalum. Kwa mfano, mradi YAWEZA kutumia zana ya fuzzing (k.m., American Fuzzy Lop) au kitafutaji cha programu ya wavuti (k.m., OWASP ZAP au w3af). Katika hali fulani mradi wa OSS-Fuzz unaweza kuwa tayari kutumia majaribio ya fuzz kwenye mradi wako. Kwa madhumuni ya kigezo hiki zana ya uchambuzi wa nguvu inahitaji kubadilisha ingizo kwa njia fulani kutafuta aina mbalimbali za matatizo au kuwa seti kiotomatiki ya majaribio yenye angalau asilimia 80 ya ukaguzi wa tawi. Ukurasa wa Wikipedia kuhusu uchambuzi wa nguvu na ukurasa wa OWASP kuhusu fuzzing hutambulisha baadhi ya zana za uchambuzi wa nguvu. Zana za uchambuzi ZINAWEZA kuzingatia kutafuta udhaifu wa usalama, lakini hii haihitajiki.

    The project employs two forms of dynamic analysis: (1) Hypothesis property-based testing (PR #268) — 7 test files totaling 1,752 lines across all three Python packages (training, inference, common), using the Hypothesis framework to generate randomized test inputs that exercise code paths not covered by deterministic unit tests. Hypothesis qualifies as dynamic analysis per the OpenSSF criterion which explicitly includes "such as testing or fuzzing." (2) OWASP ZAP DAST scanning (PR #241) — weekly Dynamic Application Security Testing scan of the dataviewer frontend, checking for runtime security vulnerabilities (XSS, injection, authentication issues, etc.) that static analysis cannot detect.

    Evidence:



    INAPENDEKEZWA kwamba ikiwa programu iliyozalishwa na mradi inajumuisha programu iliyoandikwa kwa kutumia lugha isiyosalama ya kumbukumbu (k.m., C au C++), basi angalau zana moja ya nguvu (k.m., fuzzer au kitafutaji cha programu ya wavuti) itumike kwa kawaida kwa pamoja na utaratibu wa kugundua matatizo ya usalama wa kumbukumbu kama vile uandikaji zaidi wa kipengele. Ikiwa mradi hauzalishi programu iliyoandikwa katika lugha isiyosalama ya kumbukumbu, chagua "haihusiki" (N/A). [dynamic_analysis_unsafe]
    Mifano ya taratibu za kugundua matatizo ya usalama wa kumbukumbu ni pamoja na Address Sanitizer (ASAN) (inapatikana katika GCC na LLVM), Memory Sanitizer, na valgrind. Zana nyingine zinazoweza kutumika ni pamoja na thread sanitizer na undefined behavior sanitizer. Madai ya kila mahali pia yaweza kufanya kazi.

    This criterion applies to projects with C/C++ code that should enable memory-safety checks (AddressSanitizer, MemorySanitizer, UndefinedBehaviorSanitizer, etc.). The project contains no C or C++ code — the codebase is entirely Python, TypeScript, Terraform HCL, PowerShell, and shell scripts. Python and TypeScript are memory-safe languages. Therefore, memory-safety analyzers for compiled languages are not applicable.

    Evidence:



    INAPENDEKEZWA kwamba mradi utumie usanidi wa angalau baadhi ya uchambuzi wa nguvu (kama vile majaribio au fuzzing) ambao huwezesha madai mengi. Katika hali nyingi madai haya yasipaswi kuwa yamewezeshwa katika mijengo ya uzalishaji. [dynamic_analysis_enable_assertions]
    Kigezo hiki hakipendekezi kuwezesha madai wakati wa uzalishaji; hilo ni kabisa kwa mradi na watumiaji wake kuamua. Lengo la kigezo hiki ni badala yake kuboresha ugunduzaji wa hitilafu wakati wa uchambuzi wa nguvu kabla ya kusambazwa. Kuwezesha madai katika matumizi ya uzalishaji ni tofauti kabisa na kuwezesha madai wakati wa uchambuzi wa nguvu (kama vile majaribio). Katika hali fulani kuwezesha madai katika matumizi ya uzalishaji ni busara sana (hasa katika vipengele vya uadilifu wa juu). Kuna hoja nyingi dhidi ya kuwezesha madai katika uzalishaji, k.m., maktaba hazipaswi kuvuruga waita, uwepo wao unaweza kusababisha kukataliwa na maduka ya programu, na/au kuamilisha madai katika uzalishaji kunaweza kufunua data za faragha kama vile funguo za faragha. Kumbuka kwamba katika usambazaji mwingi wa Linux NDEBUG haijafafanuliwa, hivyo C/C++ assert() kwa chaguo-msingi itawezeshwa kwa uzalishaji katika mazingira hayo. Inaweza kuwa muhimu kutumia utaratibu tofauti wa madai au kufafanua NDEBUG kwa uzalishaji katika mazingira hayo.

    Python assertions are enabled during all test execution. The pytest invocation (uv run pytest -v) does not use the -O or -OO flags, which means Python's debug is True and assert statements execute normally. Hypothesis property-based tests (PR #268) use assert statements extensively for property verification — these assertions run on every Hypothesis-generated test case (by default, 100 random inputs per test function). The pyproject.toml pytest configuration does not include any optimization flags that would disable assertions.

    Evidence:



    Udhaifu wote wenye ukali wa kati na juu zaidi unaoweza kudhoofishwa uliogundulika kupitia uchambuzi wa msimbo wa nguvu LAZIMA urekebishwe kwa wakati baada ya kuthibitishwa. [dynamic_analysis_fixed]
    Ikiwa haujafanya uchambuzi wa msimbo wa nguvu na kwa hivyo hukupata udhaifu wowote kwa njia hii, chagua "haihusiki" (N/A). Udhaifu unazingatiwa kuwa wa kiwango cha kati au juu zaidi ikiwa alama yake ya Common Vulnerability Scoring System (CVSS) ya msingi ya ubora ni kati au juu. Katika matoleo ya CVSS 2.0 hadi 3.1, hii ni sawa na alama ya CVSS ya 4.0 au zaidi. Miradi inaweza kutumia alama ya CVSS kama ilivyochapishwa katika hifadhidata ya udhaifu inayotumika sana (kama vile Hifadhidata ya Taifa ya Udhaifu) kwa kutumia toleo la hivi karibuni la CVSS lililoripotiwa katika hifadhidata hiyo. Miradi badala yake inaweza kuhesabu ukali wao wenyewe kwa kutumia toleo la hivi karibuni la CVSS wakati wa ufunuzi wa udhaifu, ikiwa ingizo la hesabu linatangazwa hadharani mara tu udhaifu unajulikana hadharani.

    Dynamic analysis findings are addressed promptly. PR #268 (Hypothesis property-based tests) discovered and fixed a real runtime bug: a RuntimeError in src/training/training/metrics.py where MLflowLogger._update() called self.writer.add_scalar() outside an active MLflow run context. This demonstrates the dynamic analysis → fix pipeline working in practice. Additionally, any OWASP ZAP findings (PR #241) would be tracked via GitHub Issues for remediation. Test failures from Hypothesis (randomized input testing) block PR merge via the pr-validation.yml CI gate.

    Evidence:



Data hii inapatikana chini ya Community Data License Agreement – Permissive, Version 2.0 (CDLA-Permissive-2.0). Hii inamaanisha kuwa Mpokeaji wa Data anaweza kushiriki Data, na au bila marekebisho, mradi Mpokeaji wa Data anapatanisha maandishi ya mkataba huu na Data iliyoshirikiwa. Tafadhali tambua Bill Berry na wachangiaji wa nishani ya Mazoea Bora ya OpenSSF.

Ingizo la nishani ya mradi linamilikiwa na: Bill Berry.
Ingizo liliundwa siku 2026-03-16 22:18:49 UTC, iliyosasishwa mara ya mwisho siku 2026-03-17 00:03:32 UTC. Ilipata mara ya mwisho nishani ya kupita siku 2026-03-17 00:03:32 UTC.