This file is byte-identical to the first copy the registry indexed, one of 4 indexed copies. Same content hash, so the same checks give both the same grade.
ponytail-review from kunolu/640-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
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.
## 1. Understand first
- Review what the user names: uncommitted or staged changes, a branch, a PR
link, or files. Nothing named: the uncommitted changes, or the last commit
if there are none.
- Read the diff, then the code it touches: callers of every changed function,
the functions it calls, the tests, the README.
- Trace the real flow: where data comes in, what is stored, what goes out.
- A change can break code it does not touch. When a signature, return value
or behavior changes, grep every caller.
- Find the expected load in the repo (README, deploy config): one person
running a script, or many users and processes at once. Judge scale against
that, and say which load you assumed.
## 2. Look for
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
…
The line at the top of this page pins the label git:20261028.4eb8b2a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_u7o4lj7mwfqeouu2
GET https://markdownregistry.com/api/v1/resolve?ref=kunolu/640-skills/ponytail-review
GET https://markdownregistry.com/api/v1/blob/33fe4ebe22a460924e5d4a261e223df22e409cc94ab76182bee9fb91a3ef022e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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djarvur/go-ultimate · skills/ponytail-review/SKILL.md · Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it…
shaderera/shaderera · .claude/skills/ponytail-review/SKILL.md · Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it…
fahthiz/oasis · skills/ponytail-review/SKILL.md · Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it…