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    AI Agent Output Verification Gate™

    1

    Verify AI-generated code against task requirements, evidence, tests, and merge-readiness criteria.

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    AI Agent Output Verification Gate™

    AI Agent Output Verification Gate™

    Example session with this skill installed

    Verify the AI agent's implementation of this task before I merge it.

    ORIGINAL TASK
    Add password-reset token expiration after 15 minutes.

    ACCEPTANCE CRITERIA

    1. Reset tokens must expire after exactly 15 minutes.
    2. Expired tokens must be rejected.
    3. A useful error should be returned for expired tokens.
    4. Add tests covering token expiration.
    5. Existing password-reset functionality must continue working.

    The AI agent says the task is complete.

    Inspect the current git diff, relevant source files, and existing tests.

    Do not rewrite the code yet.

    Give me a PASS / REVIEW / BLOCK decision based on evidence.

    • Read your context and instructions
    • Compiled the ai agent output

    AI AGENT OUTPUT VERIFICATION
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    FINAL DECISION: BLOCK

    COMPLETION SCORE: 72%

    RISK: HIGH

    TASK
    Add password-reset token expiration after 15 minutes.

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    REQUIREMENT VERIFICATION
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    [PASS] 1. Token expires after exactly 15 minutes

    Evidence
    src/auth/reset-token.ts
    Expiry value is configured to 900 seconds.

    [PASS] 2. Expired tokens are rejected

    Evidence
    src/auth/reset.service.ts
    Expired-token validation is present before reset execution.

    [PASS] 3. Expired-token error is returned

    Evidence
    src/auth/errors.ts
    Existing TOKEN_EXPIRED error is returned by the reset flow.

    [FAIL] 4. Expiration tests are incomplete

    Found

    • Token creation test

    Missing

    • Token exactly at expiry boundary
    • Expired-token rejection test

    [WARN] 5. Existing functionality

    Existing password-reset tests pass, but the new expiration path is not covered by an integration test.

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    EVIDENCE SUMMARY
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    VERIFIED REQUIREMENTS: 3/5
    PARTIALLY VERIFIED: 1
    UNVERIFIED: 1

    MISSING VERIFICATION

    1. Expired-token integration test
    2. Expiry-boundary test

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    REGRESSION RISK
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    HIGH

    Reason
    The implementation changes authentication behavior, but the new failure path lacks sufficient automated coverage.

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    REQUIRED BEFORE MERGE
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    1. Add an expired-token integration test.
    2. Add a boundary test for the 15-minute expiry.
    3. Re-run the password-reset test suite.

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    VERIFICATION CRITERIA
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    PASS only when

    ✓ Valid token works before expiry
    ✓ Token is rejected after expiry
    ✓ Expiry boundary behaves as intended
    ✓ Existing password-reset flow remains functional
    ✓ Relevant tests pass

    FINAL
    BLOCK MERGE

    Connects securely to your tools. The creator never sees your data.

    About this skill

    AI coding agents can produce working-looking changes while still missing requirements, edge cases, tests, or acceptance criteria.

    AI Agent Output Verification Gate™ is a structured verification workflow that checks whether an AI agent actually completed the requested task—not simply whether the generated code looks reasonable.

    Provide the original task or acceptance criteria together with the AI agent's changes, diff, relevant files, or test results. The skill traces each important requirement to repository evidence, checks affected behavior, identifies missing verification, evaluates regression risk, and produces a clear decision.

    You receive

    Requirement-by-requirement verification Evidence supporting completed claims Unverified or partially completed work Missing test coverage Regression-risk assessment Required fixes before merge Verification steps for unresolved items Final PASS / REVIEW / BLOCK decision Completion score showing how much of the requested work is actually verified

    Designed for developers and teams using Claude Code, Codex CLI, Cursor, Copilot, Gemini CLI, and other AI coding agents.

    This is not a generic code review. It verifies the AI agent's claimed work against the original task and available repository evidence.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Code Quality & Review.

    This skill verifies work using the repository contents, available diffs, tests, and supplied requirements. It cannot guarantee that undiscovered runtime, production, infrastructure, or external-system behavior is correct.

    Verification quality depends on the completeness of the original task, repository access, available tests, and evidence provided by the coding agent.

    A PASS means the submitted work met the defined verification criteria based on the available evidence; it is not a guarantee that the software is defect-free.

    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 buying a skill.

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    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Read Files

    Read access is used to inspect the repository, changed files, tests, configuration, and supporting implementation evidence. Terminal access may be used for safe local verification such as running relevant tests or inspecting Git diffs.

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    Standard code reviews look for style and bugs, whereas this skill specifically audits whether the AI agent actually fulfilled the original prompt requirements, providing a traceability report between the task list and the generated diff.

    Yes, the skill is platform-agnostic and works with any agent output (diffs, files, or logs) from tools like Claude Code, Cursor, GitHub Copilot, and custom CLI agents.

    You will receive the structured verification logic, a set of integration templates for your workflow, and documentation on how to pipe agent outputs into the gate for analysis.

    No complex installation is required; simply provide the original task requirements alongside the agent's output to the skill to receive a PASS/BLOCK decision and a completion score.

    The skill identifies "hallucinated completions" where an agent claims a task is done but the code evidence is missing, specifically flagging edge cases and test coverage gaps that agents often overlook.

    New in Code Quality & Review