Ponytail audit
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.From its SKILL.md
npx -y skills add nota-america/forgecat-agent-profiles --skill ponytail-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.5 KB, 271 tokens by cl100k_base, as published. Nobody here has run it
ponytail-review, repo-wide. Scan the whole tree instead of a diff. Rank findings biggest cut first.
Tags
Same as ponytail-review:
delete:dead code, unused flexibility, speculative feature. Replacement: nothing.stdlib:hand-rolled thing the standard library ships. Name the function.native:dependency or code doing what the platform already does. Name the feature.yagni:abstraction with one implementation, config nobody sets, layer with one caller.shrink:same logic, fewer lines. Show the shorter form.
Hunt
Deps the stdlib or platform already ships, single-implementation interfaces, factories with one product, wrappers that only delegate, files exporting one thing, dead flags and config, hand-rolled stdlib.
Output
One line per finding, ranked: <tag> <what to cut>. <replacement>. [path].
End with net: -<N> lines, -<M> deps possible. Nothing to cut: Lean already. Ship.
Boundaries
Complexity only, correctness bugs, security holes, and performance go to a normal review pass. Lists findings, applies nothing. One-shot. "stop ponytail-audit" or "normal mode" to revert.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most audit compliance skills give in 271 tokens
Counted across 960 of the 1,589 authors here whose files we hold, read 2026-09-06
- Read product marketing context before asking questionsin 29 of 960, across 11 files
- Rank findings by severityin 29 of 960, across 22 files
- Generate audit reportin 22 of 960
- Run the audit scriptin 20 of 960, across 19 files
- Generate a prioritized action plan reportin 19 of 960, across 11 files
- Ensure one H1 per pagein 15 of 960, across 5 files
- Ensure sitemap exists and is accessiblein 14 of 960, across 4 files
- Verify alt text on all imagesin 12 of 960, across 3 files
- Determine the audit scope before startingin 12 of 960, across 4 files
- Verify important pages allowed in robots.txtin 11 of 960, across 2 files
- Detect business type from homepage signalsin 11 of 960, across 7 files
- Delegate specialized tasks to subagentsin 11 of 960, across 7 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.