
ponytail-audit
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
- Installs
- 46.3K
- Last 24h
- +949
- Trending rank
- #375
- Security
- Pass
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/dietrichgebert/ponytail --skill ponytail-audit- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ponytail-audit automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Audit the whole repo like the senior developer who just inherited it and will be paged when it breaks. Order of importance: correct, safe, holds under load, tested, fast, lean. Lean still matters: every extra line must be read, tested and fixed later. This is a report the user asked for, so give it in full.
1. Map first
- Audit what the user names: a folder, a package, or the whole repo. Nothing named: the whole repo.
- Read the README, the deploy and build config, the dependency list, the entry points (main, routes, handlers, jobs, CLI commands) and the tests.
- Find the expected load: one person running a script, or many users and processes at once. Judge scale against that, and say which load you assumed.
- Trace the main flows end to end: where data comes in, what is stored, what goes out. Read those paths fully: input from users, money, auth, data writes, background jobs, anything shared between processes.
- Big repo: go deep where a mistake costs the most, not file by file. Say which parts you did not read.
2. Look for
- Bug: wrong result, crash, missed edge case (empty, zero, last item, rounding, time zones), callers that disagree with what a function returns, the same rule applied differently in two places.
- Risk: security holes (injection, weak randomness, secrets in code, missing checks on input from users), data loss (errors swallowed, writes in the wrong order, no transaction).
- Scale: fine for one user, wrong for many: check-then-write races, the same work done by every process, memory or lists that only grow, a query per item, O(n^2) on big input, per-process state that must be shared.
- Missing test: risky logic (a branch, a parser, money, security, data writes) with no test that fails when it breaks. One good test, not coverage.
- Speed: big slowdowns are problems. Small wins (work repeated in a hot loop) are suggestions; some software counts every millisecond.
- Lean: code that should not exist or should be smaller.
- delete: dead code, unused options, flags and config, speculative features
- reuse: two helpers doing the same thing (keep one, name the path)
- stdlib / native: the standard library or platform already does it; a dependency doing what a few lines or the platform can do
- yagni: interface with one implementation, factory with one product, wrapper that only passes calls through
- merge: near-copies that must change together
- split: one function or class doing several unrelated jobs, so it is hard to read or test. Split by job, never by line count, and never into helpers that exist only to make a function shorter.
3. Check before you report
- Every finding needs a concrete case: "this input or situation leads to this wrong result". No case, no finding.
- Before calling code unused, grep the whole tree for it, including tests, fixtures, config, and string or dynamic references.
- A shortcut marked with a
shortcut:(or olderponytail:) comment that names its limit is a decision, not a finding, unless the expected load already crosses it. - Propose the smallest fix that works. Prefer fixes that delete code. Never add layers, frameworks or config the problem does not need.
- No style taste, no "consider", no vague worries.
4. Output
Very simple English: short sentences, everyday words. Explain a technical term the first time you use it. The reader may never have seen this code.
Start with What this repo does: in two or three sentences, and the load
you assumed.
Then the findings in three groups, most important first, skip empty groups:
- Must fix: bug, security, data loss, breaks at the expected load.
- Should fix: risky code without a test, real slowness, duplication, a function that mixes jobs, code that should not exist.
- Nice to have: small speed-ups, shorter forms.
Number findings across all groups, so the user can say "fix 2 and 5". At most 20 findings; if you left smaller ones out, say how many. Every finding has all four parts, each one or two short sentences:
- Orders land on the wrong day (
billing/close_day.py:L40-52)- What this is: At midnight this job closes the day and bills all orders of that day.
- Problem: It takes "today" from the server clock, which runs in UTC. An order placed at 00:30 in Berlin is billed on the day before.
- Fix: Compute the day once in the shop's time zone:
datetime.now(ZoneInfo("Europe/Berlin")).date(). One line, nothing else changes. - If we skip it: Late orders show the wrong date, and accounting fixes them by hand.
End with:
Verdict:one line: healthy, or what to fix first.Lean: -<N> lines, -<M> dependencies possible.when lean findings exist.Not checked:the parts you did not read or could not run.
Nothing found: What this repo does:, then Healthy. Nothing to fix. and
one line on what you checked.
One-shot report, changes no code.
FAQ
What does the ponytail-audit skill do?
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
How do I install ponytail-audit?
Run npx skills add https://github.com/dietrichgebert/ponytail --skill ponytail-audit in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ponytail-audit/ (personal) or .claude/skills/ponytail-audit/ (project).
Which AI agents can use ponytail-audit?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ponytail-audit safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains ponytail-audit?
It is published by dietrichgebert in dietrichgebert/ponytail. It has 46,343 recorded installs.
More from dietrichgebert/ponytail
ponytail
dietrichgebert/ponytail
Lazy senior dev mode: the smallest change that fully solves the task, and a reply a busy human understands in one read. Use on any coding task (writing, fixing, refactoring, reviewing, choosing dependencies) and when the user says "ponytail", "be lazy", "simplest solution", "yagni", or complains about over-engineering or bloat. Levels: lite, full (default), ultra.
ponytail-review
dietrichgebert/ponytail
Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-review.
ponytail-help
dietrichgebert/ponytail
Quick reference for ponytail levels, skills and commands. One-shot display. Use for /ponytail-help, "ponytail help", "how do I use ponytail".
ponytail-debt
dietrichgebert/ponytail
List every shortcut: comment (and older ponytail: ones) as a debt ledger. One-shot report, changes nothing. Use for "ponytail debt", "what did ponytail defer", "list the shortcuts", /ponytail-debt.
ponytail-gain
dietrichgebert/ponytail
Show ponytail's measured savings (code, cost, speed) from the benchmark. One-shot display. Use for /ponytail-gain, "what does ponytail save", "ponytail impact".
Popular security skills
azure-compliance
microsoft/azure-skills
Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized reprooutputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
seo-audit
coreyhaines31/marketingskills
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.
firebase-security-rules-auditor
firebase/agent-skills
Audits Firebase (Firestore, Cloud Storage) security rules for vulnerabilities, privilege escalation, role bypasses, create vs update inconsistencies, resource exhaustion, type safety, size limits, and hasOnly ownership checks. Use when auditing/reviewing rules, running red-team rule assessments, or scoring against auditor checklists. Don't use for Firebase CLI (login, deploy), Auth, Crashlytics, Remote Config, or database queries.
audit
pbakaus/impeccable
Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.
competitors
coreyhaines31/marketingskills
When the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'competitor teardown,' 'audit our competitor pages,' 'are our comparison pages out of date,' or 'competitive asset audit.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For auditing existing claims (not researching competitors from scratch, which is competitor-profiling; not technical SEO on these pages, which is seo-audit), use the asset audit here. For internal battle cards and sales-specific competitor docs, see sales-enablement.