ponytail-audit
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what…
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
Claude Code
$ npx -y skills add DietrichGebert/ponytail --skill ponytail-review --agent claude-code
Codex
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a codex -y
Cursor
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a cursor -y
Gemini CLI
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a gemini-cli -y
GitHub Copilot
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a github-copilot -y
OpenCode
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a opencode -y
Windsurf
$ npx skills add DietrichGebert/ponytail --skill ponytail-review -a windsurf -y
name: ponytail-review description: > 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.
Review a change like the senior developer who 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.
link, or files. Nothing named: the uncommitted changes, or the last commit if there are none.
the functions it calls, the tests, the README.
or behavior changes, grep every caller.
running a script, or many users and processes at once. Judge scale against that, and say which load you assumed.
1. **Bug:** wrong result, crash, missed edge case (empty, zero, last item, rounding, time zones), a caller broken by the change, a fix applied in one caller while the shared function stays broken. 2. **Risk:** security holes (injection, weak randomness, secrets, missing checks on input from users), data loss (errors swallowed, writes in the wrong order, no transaction). 3. **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. 4. **Missing test:** risky new logic (a branch, a parser, money, security, data writes, a bug fix) with no test that fails when it breaks. One good test, not coverage. 5. **Speed:** big slowdowns are problems. Small wins (work repeated in a hot loop) are suggestions; some software counts every millisecond. 6. **Lean:** code that should not exist or should be smaller.
new dependency for a few lines
or test. Split by job, never by line count, and never into helpers that exist only to make a function shorter.
wrong result". No case, no finding.
empty, the code really is unused.
decision, not a finding, unless the expected load already crosses it.
add layers, frameworks or config the problem does not need.
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 change does:` in two or three sentences.
Then the findings in three groups, skip empty groups:
function that mixes jobs, code that should not exist.
Number findings across all groups, so the user can say "fix 2 and 5". Every finding has all four parts, each one or two short sentences:
2. **Orders land on the wrong day** (`billing/close_day.py:L40-52`)
at 00:30 in Berlin is billed on the day before.
`datetime.now(ZoneInfo("Europe/Berlin")).date()`. One line, nothing else changes.
End with:
Nothing found: `What this change does:`, then `Looks good. Ship.` and one line on what you checked.
Lists findings, changes no code.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what…
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