Chisle Audit

SkillFiles & storage

One-shot efficiency audit of a file, diff, or whole repo across BOTH axes at once: over-engineered code (reinvented stdlib, needless abstractions, speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections). Neither a pure code-minimizer nor a pure prose compressor does both in one pass. That's the point. Ranked report, biggest saving first; changes nothing. Use when the user says "chisle audit", "/chisle-audit", "audit this for bloat", "what can I cut", "review this PR for over-engineering and verbosity".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Chisle Audit skill

What this skill tells your AI

The instructions your AI receives, as published by jaypokale/chisle in skills/chisle-audit/SKILL.md and read by ahel’s review.

Scan the target (a diff, a file, or the repo tree) and report what to cut, on both axes. One-shot. Read-only: never edit, never write a flag, never apply fixes.

Scope

  • No argument → audit the current git diff (staged + unstaged). Empty diff → audit HEAD~1..HEAD.
  • A path → audit that file or directory.
  • "repo" / "whole repo" → walk the tree (skip vendored/generated/node_modules/dist/lockfiles).

What to flag

Code (the YAGNI axis):

  • Reinvented stdlib (hand-rolled debounce, deep-clone, groupBy, retry loop, date math)
  • Abstraction with one implementation (interface/factory/wrapper for a single case)
  • New dependency for what a few lines or an installed dep already covers
  • Config/option/flag that never varies
  • Speculative "for later" scaffolding with no current caller
  • Verbose code where a native platform feature (CSS, DB constraint, <input type>) does it

Prose (the compression axis), the half a code-only auditor misses:

  • Comments that restate the code (i += 1 // increment i)
  • Docstrings/READMEs padded with filler, hedging, ceremony, or duplicated content
  • Multi-paragraph explanations where one tight sentence carries the meaning
  • Decorative tables/emoji/headings that add tokens, not information
  • Dead prose: TODO graveyards, stale "see also" links, obsolete sections

What NOT to flag

Input validation at trust boundaries, error handling that prevents data loss, security, accessibility, deliberate // chisle: / // ponytail: shortcuts already documented, or domain comments that explain why (not what).

Output

One ranked list, biggest cut first. One finding per line. No preamble, no praise.

path:line  [code|prose]  <what's bloated> → <the lean replacement>. (~N lines/tokens)

End with a two-line summary:

N findings: X code, Y prose. Est. removable: ~A lines code, ~B lines prose.
Biggest win: <the single highest-impact cut>.

Be honest about uncertainty: mark a finding (check) if cutting it might lose behavior you can't verify from the snippet. Lean toward fewer, high-confidence findings over a long speculative list.

Signals

GitHub stars
434
Forks
28
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
chisle-audit
Source
github.com/jaypokale/chisle