Production Audit

affaan-m/ECC/pi/core/skills/production-audit

作者 affaan-mef648e01899ba3e8dc6371642deaaf64b4477775無授權條款275K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫4 天前更新

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. Use when auditing production readiness before launch, after a merge, or when asked what breaks in prod.

AI 產生的概覽

以本機儲存庫證據稽核應用程式的上線就緒度,並給出附評分的發布或阻擋建議。

功能
此技能引導代理使用本機、經使用者授權的證據,對已上線或即將發布的應用程式進行上線就緒度稽核。流程包括確認發布範圍、閱讀近期變更、檢查儲存庫中實際存在的執行環境、驗證、資料、付款、背景工作、AI 與部署邊界,並檢視 CI、測試、遷移、環境文件與回復路徑。最後產出簡短的發布或阻擋建議,包含評分區間、阻擋項目、高價值修正項目、已檢視證據、缺少的證據以及一個下一步行動。它明確避免在未經同意的情況下執行未固定版本的遠端程式碼,或將儲存庫內容上傳至第三方服務。
適用情境
適用於有人詢問應用程式是否可上線、正式環境可能出什麼問題,或發布前必須修正什麼,包括部署前或合併後的風險檢查,以及 CI 通過但仍需關注正式環境風險的情況。不適用於開發過程中的逐行安全程式撰寫、正式合規稽核,或沒有部署、CI 或執行環境表面的儲存庫。
執行需求
僅為指示文件,未附指令碼。依賴本機儲存庫存取與 git 等工具,並需檢視 CI 工作流程、部署清單、遷移與環境文件。瀏覽器或 HTTP 檢查僅限範圍內的已部署網址,任何外部掃描器或第三方資料流都需使用者明確同意。

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:

text
git status --short --branchgit log --oneline --decorate -20git 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:

text
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:

text
is this ready to ship?

Response:

text
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

來源與署名

來源:affaan-m/ECC位於pi/core/skills/production-audit提交ef648e0

授權條款: 無授權條款

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