safe ai coding workflow guardian

    1

    Enforce verifiable, stage-gated engineering workflows and safety gates for AI-driven codebase modifications.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    safe ai coding workflow guardian

    Example session with this skill installed

    Implement a new JWT-based authentication middleware for the /api/v2 routes and ensure it fails closed on expired tokens.

    • Read your context and instructions
    • Compiled the safe ai coding

    I have completed the safe coding workflow for the requested JWT authentication middleware. All safety gates passed, and implementation was verified stage-by-stage.

    Closure Evidence: auth-middleware-jwt-001

    Verdict: READY_FOR_HUMAN_REVIEW

    Scope Summary

    Implemented JwtAuthMiddleware in src/middleware/auth.ts, applied to all /api/v2 routes. The system now enforces RSA256 signature verification and explicitly fails closed on expired or malformed tokens.

    Stage Status

    StageStatusNotes
    1 ContextPASSMapped routes/api_v2.ts and existing AuthService.
    2 ScopePASSDefined 4 criteria including expiration handling.
    3 SafetyPASSVerified AUTH_PRIVATE_KEY env var is present.
    4 ImplementationPASSVerified via npm run build.
    5 TestsPASS12 unit tests, 4 integration tests green.
    6 QualityPASSESLint and Semgrep (security) passed.
    7 RiskPASSNo new attack surface identified.

    Acceptance Criteria Traceability

    CriterionTest CoveringStatus
    Reject expired tokenstests/auth.spec.ts:L45PASS
    Fail closed on missing headertests/auth.spec.ts:L60PASS
    Support RSA256 sigstests/auth.spec.ts:L82PASS

    Open Items

    • Performance benchmark under 5k concurrent reqs (owner: DevOps, deadline: 2024-12-15)

    Deferred Items (with reason)

    • Redis blacklist check (reason: Out of scope for initial JWT implementation; to be added in Phase 2)

    Known Limitations

    • Does not currently handle token refreshing logic; strictly handles validation.

    Next steps

    1. Review the generated src/middleware/auth.ts logic.
    2. Execute git merge feature/jwt-auth if the evidence meets requirements.
    3. Update the production environment variables with the new public key.

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    About this skill

    The problem

    AI agents often suffer from "hallucinated progress," skipping vital verification steps or introducing scope creep that breaks production environments. Developers lose hours debugging unverified changes that lacked proper safety gates or traceability.

    What it does

    • Enforces a strict, stage-gated engineering workflow that prevents code implementation until scope and safety plans are locked.
    • Generates a context map and risk scan to identify breaking changes before a single line of code is modified.
    • Captures raw terminal output for every verification step, ensuring implementation logs are backed by actual tool data.
    • Produces a standardized closure evidence artifact that summarizes test coverage, quality checks, and risk assessments for human review.

    Frameworks & tools

    Works with any CLI-based toolchain including git, npm/jest, pytest, semgrep, and gitleaks. It maps logical verification steps to terminal and file_system operations.

    Why this beats prompting it yourself

    Standard prompts often fail-open, assuming success when a tool outputs an error. This skill is hard-coded to fail-closed, stopping the entire workflow if a safety gate or test fails, ensuring no unverified code ever reaches the human review stage.

    Use cases

    • Implementing complex logic changes in legacy systems where regression risk is high.
    • Standardizing PR evidence for teams requiring high auditability and compliance.
    • Fixing critical bugs that require pre-flight environment checks and database backups.

    Known limitations

    Requires an environment with terminal access to run verification commands. Not intended for trivial one-line typo fixes or documentation edits.

    Requires terminal access for verification. Session-scoped; handles one change request at a time. Omissions in safety gates must be manually deferred.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan

    Security scan passed 1 month ago

    Software
    Git

    Permissions

    Terminal / Shell
    Listed1 month ago

    What's inside

    Frequently Asked Questions

    It uses a hard-coded 'fail-closed' logic. If any terminal-based verification or safety gate fails, the workflow immediately stops and flags the status as BLOCKED, preventing unverified code propagation.

    The skill enforces a strict 'Scope Lock' phase. Any changes to the implementation plan mid-flight require the agent to restart at Stage 1 to ensure all dependencies and risks are re-evaluated.

    Yes. It maps logical gates to your existing CLI tools like npm, pytest, and git. It captures raw terminal output to prove that tests actually ran and passed.

    The workflow produces a 'Closure Evidence' artifact. This is a standardized report summarizing test coverage, risk mitigations, and implementation logs for human sign-off.

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