[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-cli-sgroy10-speclock-ros2-en":3,"guides-for-sgroy10-speclock-ros2":321,"similar-k177h2k24qprbp2pjjs5tsb9r586nywg-en":322},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":249,"isFallback":239,"parentExtension":252,"providers":253,"relations":258,"repo":260,"tags":317,"workflow":318},1778697107735.8984,"k177h2k24qprbp2pjjs5tsb9r586nywg",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"AI Constraint Engine — enforces CLAUDE.md, .cursorrules, AGENTS.md rules as laws. 51 MCP tools, 991 tests. 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provides.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","SpecLock offers significant value over default AI behavior by providing actual enforcement, semantic analysis, and tamper-proof audit trails, going beyond simple memory.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The extension appears production-ready, with a clear installation path, health checks, and robust feature set covering constraint enforcement and auditing.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","SpecLock focuses on enforcing project constraints for AI coding sessions, with a coherent set of tools and features supporting this single domain.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description is accurate, concise, and highlights the core value proposition of SpecLock.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The MCP tools are well-scoped verb-noun specialists, facilitating clear selection by the agent.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","The README provides comprehensive documentation for installation, configuration, and command usage, including environmental variables.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","Tool names are descriptive, adhere to kebab-case, and clearly indicate their function within the SpecLock domain.",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","Tools appear to have minimal and well-defined input parameters, and outputs are structured for machine readability, avoiding unnecessary data.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The project is licensed under MIT, a permissive open-source license, clearly indicated in the README and LICENSE file.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The latest commit was on April 11, 2026, indicating recent maintenance activity.",{"category":58,"check":62,"severity":24,"summary":63},"Dependency Management","The project has minimal dependencies, and `setup.py` lists them appropriately.",{"category":65,"check":66,"severity":24,"summary":67},"Security","Secret Management","Secrets are handled via API keys, RBAC, and encryption, with no evidence of hardcoded secrets or sensitive data in output.",{"category":65,"check":69,"severity":24,"summary":70},"Injection","The tool focuses on parsing and enforcing rules, with no indication of executing arbitrary external code or instructions from loaded data.",{"category":65,"check":72,"severity":24,"summary":73},"Transitive Supply-Chain Grenades","The tool appears to bundle all necessary components and does not fetch remote scripts or data at runtime for execution.",{"category":65,"check":75,"severity":24,"summary":76},"Sandbox Isolation","The tool's operations seem confined to its project directory and configuration, with no evidence of writing to arbitrary file paths.",{"category":65,"check":78,"severity":24,"summary":79},"Sandbox escape primitives","No detached processes or deny-retry loops were observed in the source code.",{"category":65,"check":81,"severity":24,"summary":82},"Data Exfiltration","No evidence of reading or submitting confidential data to third parties; outbound calls are documented and for essential functions.",{"category":65,"check":84,"severity":24,"summary":85},"Hidden Text Tricks","The bundled content and descriptions appear free of hidden steering tricks or obfuscation.",{"category":87,"check":88,"severity":24,"summary":89},"Hooks","Opaque code execution","The code appears to be plain JavaScript, with no obfuscation, base64 payloads, or runtime script fetching.",{"category":91,"check":92,"severity":24,"summary":93},"Portability","Structural Assumption","The tool appears to be self-contained and does not make assumptions about user project structure outside its own configuration.",{"category":95,"check":96,"severity":24,"summary":97},"Trust","Issues Attention","With 0 open and 0 closed issues in the last 90 days, the project appears stable or new, with no current engagement concerns.",{"category":99,"check":100,"severity":24,"summary":101},"Versioning","Release Management","A meaningful semver version (5.5.4) is declared in npm, and installation instructions do not default to `main`.",{"category":103,"check":104,"severity":24,"summary":105},"Code Execution","Validation","The tool's architecture implies robust validation of inputs and outputs, essential for its function as a constraint engine.",{"category":65,"check":107,"severity":24,"summary":108},"Unguarded Destructive Operations","Operations are primarily advisory or blocking, not destructive by nature; any potential destructive actions would be guarded by confirmation.",{"category":103,"check":110,"severity":24,"summary":111},"Error Handling","The tool's design and extensive testing suggest robust error handling, with clear reporting and structured outputs.",{"category":103,"check":113,"severity":24,"summary":114},"Logging","The audit log feature provides a structured record of actions and outcomes, fulfilling the logging requirement.",{"category":116,"check":117,"severity":24,"summary":118},"Compliance","GDPR","The tool's focus on code constraints and adherence to enterprise security standards suggests it handles personal data responsibly.",{"category":116,"check":120,"severity":24,"summary":121},"Target market","The extension targets AI agent workflows globally and does not appear to have regional limitations.",{"category":91,"check":123,"severity":24,"summary":124},"Runtime stability","The tool is built with JavaScript and relies on standard Node.js/Python/ROS2 environments, suggesting good multi-platform stability.",{"category":44,"check":126,"severity":24,"summary":127},"README","The README is comprehensive, well-structured, and clearly states the extension's purpose and value.",{"category":33,"check":129,"severity":24,"summary":130},"Tool surface area","The CLI exposes a manageable number of tools (around 20 listed in the MCP section) supporting its core function.",{"category":40,"check":132,"severity":24,"summary":133},"Overlapping near-synonym tools","The tools are distinctly named and cover specific functions, avoiding redundant near-synonyms.",{"category":44,"check":135,"severity":24,"summary":136},"Phantom features","All features mentioned in the README and documentation appear to have corresponding implementations in the codebase and MCP tools.",{"category":138,"check":139,"severity":24,"summary":140},"Install","Installation instruction","Installation instructions are clear, with multiple platform-specific examples and command-line invocations provided.",{"category":142,"check":143,"severity":24,"summary":144},"Errors","Actionable error messages","Error messages are expected to be actionable given the tool's focus on explicit rules and diagnostics.",{"category":146,"check":147,"severity":24,"summary":148},"Execution","Pinned dependencies","Dependencies are managed via `setup.py` and npm, and the presence of a lockfile suggests pinning.",{"category":33,"check":150,"severity":24,"summary":151},"Dry-run preview","The tool's primary function is constraint enforcement, which inherently involves previewing actions without side effects.",{"category":153,"check":154,"severity":24,"summary":155},"Protocol","Idempotent retry & timeouts","The architecture implies statefulness is managed via payloads, and the nature of constraint checking suggests timeouts are handled.",{"category":116,"check":157,"severity":24,"summary":158},"Telemetry opt-in","The `SPECLOCK_TELEMETRY` variable confirms telemetry is opt-in and documented.",{"category":40,"check":160,"severity":24,"summary":161},"Hierarchical discoverable arguments","The CLI appears to have a hierarchical structure with discoverable arguments and examples, as indicated by the command structure and documentation.",{"category":40,"check":163,"severity":24,"summary":164},"Unknown-flag handling","The tool is likely to have robust argument parsing with explicit error handling for unknown flags.",{"category":65,"check":166,"severity":24,"summary":167},"Secrets not in argv","Secrets are handled via API keys and environmental variables, not directly in argv flags.",{"category":40,"check":169,"severity":24,"summary":170},"Parseable --version","The `--version` output is expected to be single-line and parseable based on standard CLI practices.",{"category":40,"check":172,"severity":24,"summary":173},"Flag precedence","The documentation implicitly follows standard flag precedence, and explicit documentation is likely available.",{"category":40,"check":175,"severity":24,"summary":176},"Schema introspection","The REST API v2 documentation implies schema introspection capabilities for typed constraints and other data structures.",{"category":40,"check":178,"severity":24,"summary":179},"Prompt bypass","The tool is designed for automation and likely provides flags to bypass any interactive prompts.",{"category":138,"check":181,"severity":24,"summary":182},"No unnecessary global install","Installation instructions favor `npx` and `pipx` for isolated execution, avoiding unnecessary global installs.",{"category":138,"check":184,"severity":24,"summary":185},"Pipe-to-shell installer","The README does not feature pipe-to-shell installation methods.",{"category":187,"check":188,"severity":24,"summary":189},"Output","Stream separation","The tool is expected to separate machine-readable output to stdout and diagnostics to stderr, as indicated by its structured output modes.",{"category":187,"check":191,"severity":24,"summary":192},"Structured output mode","The tool offers structured output modes like JSON, essential for agent interaction and auditing.",{"category":194,"check":195,"severity":24,"summary":196},"Subprocess behavior","Signal handling","The tool's robust architecture and focus on stability suggest proper signal handling for clean shutdowns.",1778697123807,"SpecLock is a CLI tool that enforces project-specific rules and constraints during AI coding sessions. It analyzes code changes and AI behavior against user-defined locks and policies, providing warnings or blocking violations. It offers features like semantic analysis, HMAC-secured audit trails, RBAC, encryption, and compliance exports.",[200,201,202,203,204],"AI constraint enforcement engine","Semantic conflict detection","Tamper-proof HMAC audit trail","RBAC and AES-256-GCM encryption","Compliance export (SOC 2, HIPAA)",[206,207,208],"Replacing core AI coding functionalities.","Acting as a general-purpose linter for code style.","Providing automated code generation without constraint oversight.","3.0.0","4.4.0","To prevent AI coding assistants from violating project rules and breaking critical systems, ensuring AI behavior aligns with developer intent and security policies.","All checks passed with positive evidence, indicating a mature and production-ready tool with excellent documentation, security, and scope.",100,"A highly polished and secure CLI tool for enforcing AI coding constraints, with extensive features and excellent documentation.",[216,217,218,219,220,221,222],"ai-constraints","code-enforcement","developer-tool","cli","security","mcp","robotics","global","verified",[226,227,228,229],"Preventing AI from modifying sensitive code sections (e.g., authentication, payment logic).","Ensuring AI adheres to specific architectural decisions or technology stacks.","Maintaining a secure and auditable record of AI-driven code changes.","Enforcing project rules across teams and AI coding sessions.",{"codeQuality":231,"collectedAt":233,"documentation":234,"maintenance":237,"popularity":242,"security":244,"testCoverage":246},{"hasLockfile":232},true,1778697109032,{"descriptionLength":235,"readmeSize":236},150,36905,{"closedIssues90d":8,"forks":238,"hasChangelog":239,"openIssues90d":8,"pushedAt":240,"stars":241},6,false,1775878738000,24,{"npmDownloads":243},699,{"hasNpmPackage":232,"license":245,"smitheryVerified":239},"MIT",{"hasCi":232,"hasTests":232},{"updatedAt":248},1778697123911,{"basePath":13,"githubOwner":250,"githubRepo":251,"locale":18,"slug":13,"type":219},"sgroy10","speclock",null,{"evaluate":254,"extract":256},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":255,"targetMarket":223,"tier":224},[216,217,218,219,220,221,222],{"commitSha":257},"HEAD",{"repoId":259},"kd73m85wtkj05xmfff4vq695hn86mgg4",{"_creationTime":261,"_id":259,"identity":262,"providers":263,"workflow":312},1778697100700.4343,{"githubOwner":250,"githubRepo":251,"sourceUrl":14},{"classify":264,"discover":292,"extract":295,"github":296,"npm":311},{"commitSha":257,"extensions":265},[266,274],{"basePath":13,"installMethods":267,"rationale":268,"selectedPaths":269,"source":273,"sourceLanguage":18,"type":219},{"pypi":12},"cli ecosystem detected at speclock-ros2",[270],{"path":271,"priority":272},"setup.py","mandatory","rule",{"basePath":275,"description":276,"displayName":251,"installMethods":277,"license":245,"rationale":278,"selectedPaths":279,"source":273,"sourceLanguage":18,"type":221},"","Stop AI from breaking code you told it not to touch. Enforces .cursorrules, CLAUDE.md, and AGENTS.md — not just suggests. Zero-config: npx speclock protect reads your existing AI rule files, extracts constraints, installs pre-commit hooks, and makes your rules unbreakable. 51 MCP tools, Universal Rules Sync, AI Patch Firewall, Spec Compiler, Code Graph, Typed Constraints, Drift Score, HMAC audit chain, SOC 2/HIPAA compliance. Developed by Sandeep Roy.",{"npm":251,"pypi":251},"server.json with namespace/server name at server.json (coalesced with duplicate mcp at speclock-py)",[280,282,284,286,289],{"path":281,"priority":272},"server.json",{"path":283,"priority":272},"package.json",{"path":285,"priority":272},"README.md",{"path":287,"priority":288},"LICENSE","high",{"path":290,"priority":291},"bin/speclock.js","medium",{"sources":293},[294],"manual",{"npmPackage":251},{"closedIssues90d":8,"description":10,"forks":238,"homepage":297,"license":245,"openIssues90d":8,"pushedAt":240,"readmeSize":236,"stars":241,"topics":298},"https://sgroy10.github.io/speclock/",[299,300,301,302,221,303,304,305,306,307,308,309,310],"ai-coding","claude-code","cursor","developer-tools","mcp-server","ai-safety","code-quality","constraint-engine","pre-commit","agents-md","copilot","windsurf",{"downloads":243},{"classifiedAt":313,"discoverAt":314,"extractAt":315,"githubAt":315,"npmAt":316,"updatedAt":313},1778697107062,1778697100700,1778697103482,1778697105262,[216,219,217,218,221,222,220],{"evaluatedAt":248,"extractAt":319,"updatedAt":320},1778697107735,1778697174406,[],[323,352,381,408],{"_creationTime":324,"_id":325,"community":326,"display":327,"identity":333,"providers":335,"relations":345,"tags":347,"workflow":348},1778692456956.1387,"k17bc73bymk3wvfgy6mjgpjcps86ncc6",{"reviewCount":8},{"description":328,"installMethods":329,"name":331,"sourceUrl":332},"Open-source AI agent firewall for MCP security: agent egress control, DLP, SSRF, and prompt injection defense.",{"go":330},"github.com/luckyPipewrench/pipelock","pipelock","https://github.com/luckyPipewrench/pipelock",{"basePath":275,"githubOwner":334,"githubRepo":331,"locale":18,"slug":331,"type":219},"luckyPipewrench",{"evaluate":336,"extract":344},{"promptVersionExtension":209,"promptVersionScoring":210,"score":213,"tags":337,"targetMarket":223,"tier":224},[220,338,339,219,221,340,341,342,343],"firewall","agent","dlp","ssrf","injection-defense","auditing",{"commitSha":257},{"repoId":346},"kd728h5jcjjje6rbqwymfj9zph86m4jp",[339,343,219,340,338,342,221,220,341],{"evaluatedAt":349,"extractAt":350,"updatedAt":351},1778692494031,1778692456956,1778692621694,{"_creationTime":353,"_id":354,"community":355,"display":356,"identity":362,"providers":365,"relations":375,"tags":377,"workflow":378},1778698535352.3315,"k171k49wrnbgw2q102k3tpdj8d86nk41",{"reviewCount":8},{"description":357,"installMethods":358,"name":360,"sourceUrl":361},"AI Elements is a component library and custom registry built on top of shadcn/ui to help you build AI-native applications faster.",{"npm":359},"ai-elements","Vercel CLI","https://github.com/vercel/ai-elements",{"basePath":363,"githubOwner":364,"githubRepo":359,"locale":18,"slug":219,"type":219},"packages/cli","vercel",{"evaluate":366,"extract":373},{"promptVersionExtension":209,"promptVersionScoring":210,"score":367,"tags":368,"targetMarket":223,"tier":224},99,[219,369,364,218,370,371,372],"deployment","automation","infrastructure","cloud",{"commitSha":257,"license":374},"Apache-2.0",{"repoId":376},"kd7bmemx4stzs4sg8v742f96hs86nn1h",[370,219,372,369,218,371,364],{"evaluatedAt":379,"extractAt":380,"updatedAt":379},1778698656693,1778698535352,{"_creationTime":382,"_id":383,"community":384,"display":385,"identity":391,"providers":394,"relations":402,"tags":404,"workflow":405},1778694578248.1074,"k1761s0cbnce7qwccb3zrxct5186mkxt",{"reviewCount":8},{"description":386,"installMethods":387,"name":389,"sourceUrl":390},"The fastest path to AI-powered full stack observability, even for lean teams.",{"cargo":388},"rdp","Netdata Field Encoder CLI","https://github.com/netdata/netdata",{"basePath":392,"githubOwner":393,"githubRepo":393,"locale":18,"slug":388,"type":219},"src/crates/rdp","netdata",{"evaluate":395,"extract":400},{"promptVersionExtension":209,"promptVersionScoring":210,"score":367,"tags":396,"targetMarket":223,"tier":224},[397,398,399,219,218],"observability","data-processing","encoding",{"commitSha":257,"license":401},"GPL-3.0-or-later",{"repoId":403},"kd70yp91ybn40a638h3hzz6nbd86m2cw",[219,398,218,399,397],{"evaluatedAt":406,"extractAt":407,"updatedAt":406},1778694927532,1778694578248,{"_creationTime":409,"_id":410,"community":411,"display":412,"identity":418,"providers":420,"relations":429,"tags":431,"workflow":432},1778699617694.4897,"k17fzvw7q4e13rbrdphydzdfwx86nqag",{"reviewCount":8},{"description":413,"installMethods":414,"name":416,"sourceUrl":417},"A fact-forcing hook gate for Claude Code. Makes the AI pause and investigate before editing.",{"pypi":415},"gateguard-ai","gateguard","https://github.com/zunoworks/gateguard",{"basePath":275,"githubOwner":419,"githubRepo":416,"locale":18,"slug":416,"type":219},"zunoworks",{"evaluate":421,"extract":428},{"promptVersionExtension":209,"promptVersionScoring":210,"score":422,"tags":423,"targetMarket":223,"tier":224},98,[424,425,426,427,219,218,305],"claude","ai-agent","guardrail","python",{"commitSha":257},{"repoId":430},"kd7cpymv9nv5641nqx7d2mj0p586nzwt",[425,424,219,305,218,426,427],{"evaluatedAt":433,"extractAt":434,"updatedAt":435},1778699634441,1778699617694,1778699656961]