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    PR Release Risk Gatekeeper

    by heyhridyansh

    2

    A formal release gatekeeper that audits PRs for deployment risk, migration safety, and operational readiness.

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    You say

    Review this PR for a production release gate. It includes a schema migration for the users table and a new Stripe webhook handler. Here are the diffs, CI logs, and the rollout plan.

    Your agent does

    GATE DECISION: CONDITIONAL GO (Score: 82/100)

    Rationale: Core logic is verified and CI passed. However, the migration lacks a documented data repair plan if the additive column fails.

    Pre-release Conditions:

    1. Document SQL rollback script for user_tier_index.
    2. Confirm Stripe test-suite coverage for 401 unauthorized scenarios.

    Post-release Watchlist:

    • Monitor webhook_processing_errors metric.
    • Watch for 500s on /webhooks/stripe.

    About this skill

    The problem

    Pull requests are often merged based on code style or local logic without a formal assessment of deployment risk. High-pressure releases frequently skip checks for rollback readiness, migration safety, or telemetry coverage, leading to production incidents.

    What it does

    • Evaluates a single pull request against a formal release rubric to provide a GO/NO-GO decision.
    • Validates CI and test evidence to ensure coverage actually matches the specific behavioral changes.
    • Audits migration safety, including lock durations, idempotent data handling, and state recovery.
    • Identifies unresolved blockers, missing approvals, and gaps in operational observability.
    • Generates a post-release watchlist and rollback trigger checklist for the on-call engineer.

    Why this beats prompting it yourself

    This skill moves beyond code review into operational gatekeeping. It uses a structured evidence framework that treats "missing information" as a risk rather than a pass, preventing the hallucinated confidence common in generic LLM prompts. It enforces a strict blocker policy that ensures one critical risk overrides a high average score.

    Use cases

    • Perform a final safety check on high-stakes database migrations before merging to main.
    • Audit third-party dependency updates for breaking contract changes and supply chain risks.
    • Verify deployment readiness for critical features involving complex feature-flag rollouts.
    • Generate an auditable release gate report for compliance or SOC2 requirements.

    Known limitations

    Does not execute code, run migrations, or perform live deployments. It cannot replace specialist security penetration testing or guarantee zero regressions.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    I create practical, AI-ready skills for Cursor, Claude Code, Codex CLI, Replit, and other agents that support the SKILL.md format. My skills focus on specific business and workflow problems, including ecommerce creative audits, design quality checks, prompt and skill validation, content systems, and process automation. Each skill is built with clear inputs, structured outputs, defined permissions, safeguards, and real-world usability.

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