Skip to content
production-audit logo

Production Audit

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.

affaan-m/ecc6Kinstalls273.3Kstars

SKILL.md

Full skill instructions

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.

BandScoreMeaning
Blocked0-49Do not ship until the top risks are fixed
Risky50-69Ship only behind a small rollout or internal beta
Launchable With Caveats70-84Ship if owners accept the listed risks
Strong85-100No 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

More skills from affaan-m

coding-standards logo
affaan-m/ecc

coding-standards

Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.

273.3K 14K
View
golang-testing logo
affaan-m/ecc

golang-testing

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

273.3K 13.1K
View
docker-patterns logo
affaan-m/ecc

docker-patterns

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

273.3K 12.7K
View

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

273.3K 12.2K
View
video-editing logo
affaan-m/ecc

video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

273.3K 12.2K
View
python-patterns logo
affaan-m/ecc

python-patterns

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

273.3K 12.1K
View
frontend-slides logo
affaan-m/ecc

frontend-slides

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

273.3K 12.1K
View
api-design logo
affaan-m/ecc

api-design

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

273.3K 11.9K
View
django-patterns logo
affaan-m/ecc

django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

273.3K 11.9K
View
postgres-patterns logo
affaan-m/ecc

postgres-patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

273.3K 11.9K
View
tdd-workflow logo
affaan-m/ecc

tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

273.3K 11.6K
View
prompt-optimizer logo
affaan-m/ecc

prompt-optimizer

Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.

273.3K 11.3K
View

Popular AI tools

Kaiber logo
Video

Kaiber

Generate, edit, and beat-sync AI video with leading models in one workspace.

Paid
View
Vimcal logo
Productivity

Vimcal

The world's fastest calendar for remote work

Free
View

Transform Your Design with AI Designer by ImgCreator.ai

Freemium
View
Akool AI logo
Content & writing

Akool AI

Revolutionizing Video Production with AI-Powered Creativity

Paid
View

Extend an image past the frame and let AI fill the new aspect ratio.

Freemium
View
StarByFace logo
Security

StarByFace

Discover your celebrity doppelgänger with StarByFace!

Free
View
C

ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.

Freemium
View
Opus Clip logo
Coding & apps

Opus Clip

Opus.ai: Revolutionize Your Web Experience

Free
View