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affaan-m/production-audit

affaan-m

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.

New~1.9kUpdated Jul 14, 2026

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 to improve the score.
  • Evidence checked: files, commands, CI, deployed URL, or PRs inspected.
  • Evidence missing: what would change confidence if provided.
  • Next action: one concrete fix or verification step.

Keep strengths short. The user asked for readiness, so the useful answer is the remaining risk and the next action.

Example

User:

is this ready to ship?

Response:

Production audit: 68/100, risky, because Stripe webhooks are verified but not idempotent and there is no rollback note for the pending migration.

Blockers:
- Add idempotency for `checkout.session.completed` before fulfilling orders.
- Write and test the rollback path for `20260511_add_billing_state.sql`.

High-value fixes:
- Add a health check that verifies database and payment-provider reachability.
- Add one E2E path for upgrade, webhook fulfillment, and billing-page refresh.

Evidence checked:
- `api/stripe/webhook.ts`
- `db/migrations/20260511_add_billing_state.sql`
- GitHub Actions run for the release branch

Next action: Want me to patch webhook idempotency first?

Anti-Patterns

  • Running npx <package>@latest or a remote scanner as the default audit path.
  • Uploading source, secrets, customer data, or private topology to an external audit service without explicit approval.
  • Producing a score without naming the evidence checked.
  • Treating green CI as production readiness.
  • Ending with a generic "let me know what you want to do."

See Also

  • Skill: security-review
  • Skill: deployment-patterns
  • Skill: e2e-testing
  • Skill: tdd-workflow
  • Skill: verification-loop
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Overall Score

88/100

Grade

A

Excellent

Safety

92

Quality

88

Clarity

87

Completeness

83

Summary

This skill guides AI agents to conduct local-evidence production readiness audits for shipped applications, evaluating security, data integrity, payments, operations, and UX against specific risk lenses. It provides a structured audit methodology with clear scoring bands (Blocked/Risky/Launchable/Strong) and delivers actionable recommendations without exfiltrating code to external services.

Detected Capabilities

local file reading (git, config, migrations, env docs)project structure inspection (package scripts, CI workflows, Docker files)code analysis (auth routes, webhook handlers, database schema)deployed URL inspection (HTTP checks, health checks)no file writesno shell executionno external service calls without explicit user approval

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

production readiness auditis this ready to shippre-launch reviewwhat breaks in productiondeployment risk assessmentwebhook idempotency checkmigration safety verificationpost-merge auditrollback path validation

Use Cases

  • Evaluate whether an application is production-ready before launch
  • Assess post-merge risks to determine if features are safe to deploy
  • Identify what could break in production before a public launch or customer rollout
  • Conduct pre-demo or pre-investor-walkthrough readiness checks
  • Perform post-deployment or post-incident audits to verify recovery and rollback paths
  • Verify payment and webhook idempotency before processing live transactions

Quality Notes

  • Excellent scope boundaries: clearly documents when to use vs. when not to use, distinguishing from security-review and compliance audits
  • Strong risk taxonomy: organizes production readiness into five concrete lenses (security, data, payments, operations, UX) with specific, measurable questions for each
  • Well-structured evidence hierarchy: starts with cheap local signals (git status, logs) before more expensive inspections (migrations, routes, deployed URLs)
  • Clear scoring model with hard caps that force conservative scoring when critical gaps exist (auth missing, secrets exposed, no rollback path)
  • Practical output format with action-oriented sections (blockers, high-value fixes, next action) focused on what to fix, not generic praise
  • Concrete example demonstrates the expected output quality and reasoning
  • Explicitly documents anti-patterns to avoid (running remote scanners, uploading data without approval, treating CI as readiness)
  • No external authentication or credential requirements for the audit itself
  • User-controlled scope: only inspects deployed URLs if provided by the user, avoids credentialed actions without explicit test account
  • Missing: no guidance on how to handle monorepos, microservices, or federated deployments where the audit surface is distributed across multiple repos or services
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

  1. v1.1

    Content updated

    ✦ AINo behavioral changes detected.

    2026-07-14

    Latest
  2. v1.0

    2026-05-15

    View This VersionInitial version

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