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/production-audit

Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service.

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Claude Code

$ npx -y skills add jdanigo/hydraia --skill production-audit --agent claude-code

SKILL.md

production-audit.SKILL.md
name: production-audit
description: Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service.
metadata:
  origin: community

Production Audit

Use this skill when the user asks whether an application is ready to ship, what could break in production, or what must be fixed before a launch. This is a maintainer-safe rewrite of the stale community production-audit idea: it keeps the useful production-readiness lens and removes unpinned external execution and third-party data sharing.

When to Use

  • The user asks "is this production-ready", "what would break in prod", "what

did we miss", "audit this repo", or "ready to ship?"

  • A feature was merged and needs a pre-deploy or post-merge risk pass.
  • A public launch, demo, customer rollout, or investor walkthrough is close.
  • CI is green but the user wants production risk, not only test status.
  • A deployed URL, release branch, PR, or current checkout is available for

evidence gathering.

When Not to Use

  • During active implementation when the right lens is line-level secure coding;

use `security-review` first.

  • For pure libraries, templates, docs-only repos, or scaffolds unless the user

wants packaging/release readiness rather than application readiness.

  • When the user asks for a formal compliance audit. This skill is engineering

triage, not legal, financial, medical, or regulatory certification.

  • When the only available evidence is a product idea with no repo, deployment,

CI, or runtime surface.

How It Works

Build the audit from local and user-authorized evidence. Do not run unpinned remote code, upload repository contents to third-party services, or call external scanners unless the user explicitly approves that specific tool and data flow.

Use this order:

1. Establish the release surface. 2. Read recent changes and current branch state. 3. Inspect runtime, auth, data, payment, background-job, AI, and deployment boundaries that actually exist in the repo. 4. Check CI, tests, migrations, environment documentation, and rollback path. 5. Produce a short ship/block recommendation with specific fixes.

Evidence Checklist

Start with cheap, local signals:

git status --short --branch
git log --oneline --decorate -20
git diff --stat origin/main...HEAD

Then inspect the project-specific surface:

  • Package scripts, CI workflows, release scripts, Docker files, and deployment

manifests.

  • API routes, webhooks, auth middleware, background workers, cron jobs, and

database migrations.

  • Environment variable documentation and startup checks.
  • Observability hooks, error reporting, logs, health checks, and dashboards.
  • Rollback, seed, migration, and backfill instructions.
  • E2E coverage for the user paths that matter most.

If a deployed URL is in scope, use browser or HTTP checks only against that URL and avoid credentialed actions unless the user supplies a safe test account.

Risk Lenses

Security And Auth

  • Are public routes, API routes, and admin routes clearly separated?
  • Are auth and authorization enforced server-side?
  • Are secrets kept out of client bundles, logs, example output, and checked-in

files?

  • Are rate limits, CSRF protections, CORS policy, and upload validation present

where the app needs them?

  • Does the AI or agent surface defend against prompt injection, tool abuse, and

untrusted content crossing into privileged actions?

Data Integrity

  • Do migrations run forward cleanly and have a rollback or recovery plan?
  • Are destructive migrations, backfills, and data imports staged safely?
  • Do database policies, grants, and service-role boundaries match the app's

tenancy model?

  • Are retries idempotent for writes, jobs, and webhook handlers?

Payments And Webhooks

  • Are webhook signatures verified before parsing trusted payload fields?
  • Is each payment, subscription, or fulfillment webhook idempotent?
  • Are replay, duplicate delivery, and out-of-order delivery handled?
  • Are test-mode and live-mode credentials separated?

Operations

  • Can the app start from a clean checkout using documented commands?
  • Are required environment variables named, validated, and fail-fast?
  • Is there a health check that proves dependencies are reachable?
  • Are deploy, rollback, and incident-owner paths documented?
  • Are logs useful without leaking secrets or personal data?

User Experience

  • Are the launch-critical paths covered on desktop and mobile?
  • Are forms usable on mobile without input zoom, layout overlap, or blocked

submission states?

  • Do loading, empty, error, and permission-denied states tell the user what

happened?

  • Is there a support or recovery path when a critical operation fails?

Scoring

Use scores to force prioritization, not to imply mathematical certainty.

| Band | Score | Meaning | | --- | --- | --- | | Blocked | 0-49 | Do not ship until the top risks are fixed | | Risky | 50-69 | Ship only behind a small rollout or internal beta | | Launchable With Caveats | 70-84 | Ship if owners accept the listed risks | | Strong | 85-100 | No obvious launch blockers from available evidence |

Cap the score at `69` if any of these are true:

  • Authentication or authorization is missing on sensitive data.
  • Payment or fulfillment webhooks are not idempotent.
  • Required migrations cannot be run safely.
  • Secrets are exposed in client bundles, logs, or committed files.
  • There is no rollback path for a high-impact release.

Cap the score at `84` if CI is not green or the launch-critical path was not tested end to end.

Output Format

Lead with one sentence:

Production audit: 76/100, launchable with caveats, with webhook idempotency and rollback docs as the two risks to fix before public launch.

Then list:

  • `Blockers`: must-fix items before deploy.
  • `High-value fixes`: next fixes if the user wants
Read more
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Questions about production-audit.

Which coding agents can use production-audit?
production-audit installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.