production-audit
Makes your agent check if a program ready for release is actually good. It checks several important points to ensure quality.
What it does
This tool checks if your project is ready to be launched into production. It looks for common issues that could cause failures, such as security flaws, payment errors, or user experience problems.
When to use it
- ✓When you want to know if your project is ready to go live.
- ✓Before launching a new feature or application.
- ✓After making many code changes and wanting a general check.
Example of what to ask your AI
“Check if my project is production-ready.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool runs an external program that analyzes your code and its running environment. It generates a report with a score and lists the main issues found.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill production-auditOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/production-audit/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Production Audit
Overview
A skill that runs an external audit on a shipped repo's deployed state — live URL, GitHub signals, secrets exposure, RLS gaps, webhook idempotency, indexes, observability, prompt injection, and ten other failure modes that AI-assisted projects routinely miss.
This is complementary to in-session security skills (security-review, OWASP-style, VibeSec, Trail of Bits). Those scan the editor buffer at write-time. This scans the deployed product after you commit. Different timing, different inputs, different findings. Run both for serious launches.
The skill wraps the commit.show audit engine via the public CLI (npx commitshow@0.3.23 audit . --json). Stable JSON envelope (schema_version: "1", additive-only). Writes a .commitshow/audit.{md,json} sidecar so future agent sessions can read prior state without re-running the engine.
When to Use This Skill
- Use when the user asks "is this production-ready", "what would break in prod", "score my project", "what did I miss", "audit my repo", "ready to ship".
- Use right after merging a feature branch to
main(helpful as a pre-deploy gate). - Use before a public launch / Show HN post / investor demo.
- Use when
git logshows >20 commits since the last.commitshow/audit.mdwas written.
Skip when
- During active in-session coding — use
security-review/ OWASP-style for line-level patterns. This skill is for post-merge / pre-ship review. - For library / scaffold-form repos — the engine handles app form best; libraries get a partial-substitute score.
- If
.commitshow/audit.jsonalready exists and is < 1 hour old, read that instead of re-running. Audit is rate-limited (anonymous: 20/IP/day · 5/repo/day · 2000/day global). - Inside a private / non-GitHub repo — the audit pulls public GitHub signals, so private repos return a
not_founderror.
How It Works
Step 1: Run the audit
From the repo root. The CLI is pinned to an exact reviewed version so future npm releases are not selected silently. Because npx downloads and runs npm package code locally with the current user's permissions, run it only after the user explicitly approves this external execution and only in a repository where local files and environment variables are safe for that process to access. The sidecar directory is created up-front, and stderr is split off so install/deprecation warnings can't corrupt the JSON envelope:
mkdir -p .commitshow
npx commitshow@0.3.23 audit . --json \
> .commitshow/audit.json \
2> .commitshow/audit.stderr.log
This also writes a human-readable .commitshow/audit.md next to it. Subsequent invocations should diff against the prior audit.json if it exists, so you can lead with "+5 since yesterday's audit" instead of just an absolute number.
If the user pointed at a remote URL instead of ., swap . for the URL — keep the same mkdir -p + version pin + stderr split:
mkdir -p .commitshow
npx commitshow@0.3.23 audit github.com/owner/repo --json \
> .commitshow/audit.json \
2> .commitshow/audit.stderr.log
Step 2: Parse the envelope
The JSON envelope is stable (schema_version: "1", additive-only). Read these fields:
| Field | Meaning |
|---|---|
score.total |
0-100 production-readiness score |
score.delta_since_last |
change vs. parent snapshot · positive = improving |
score.band |
strong (80+) · mid (60-79) · early (<60) |
concerns[] |
top issues, ordered by impact · each has axis + bullet |
strengths[] |
top 3 things that work · for context only |
standing |
optional · only when the project is auditioning on commit.show |
snapshot.created_at / trigger_type |
when the audit ran |
Concerns are sorted by decision-impact, not severity. Position 1 is the bullet to lead with.
Step 3: Surface to the user
Lead with score + trajectory in one sentence, then the top concerns. Do not dump the full JSON. Format:
Score: 82/100 (+5 since yesterday) · band: strong
Top concerns:
↓ [Security] No API rate limiting on /auth — IP cap missing
↓ [Infrastructure] webhook handler at api/stripe.ts — signature verified, but no
idempotency-key check (replay attack window open)
Want me to fix the webhook idempotency gap first?
Rules:
- Use the exact bullet from
concerns[].bullet— the audit engine already wrote action-oriented copy.
…
FAQ
What is 'RLS'?
RLS stands for 'Row Level Security', a database feature that controls who can see or modify which data.
What are 'webhooks'?
Webhooks are automatic notifications sent by one application to another when something happens. The tool checks if they work correctly and securely.
What is 'idempotency'?
Idempotency means an action can be repeated multiple times without changing the result after the first time. It's important for preventing issues like duplicate charges for payments.
Details
Original description by the author
Audit a shipped repo for production-readiness gaps across RLS, webhooks, secrets, grants, Stripe idempotency, mobile UX, and deployment health.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3894
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
bun-runtime
Has your agent use Bun to run, organize, and test code. It helps choose Bun over other tools and migrate existing projects.
affaan-m/ECC
database-migrations
Helps your agent make safe changes to databases. It ensures changes can be undone and minimizes downtime.
affaan-m/ECC
deployment-patterns
Sets up deployment and CI/CD workflows, containerization, and rollback strategies to ensure safe releases.
affaan-m/ECC