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Skills/dietrichgebert/ponytail/ponytail-audit
ponytail-audit logo

ponytail-audit

dietrichgebert/ponytail
664 installs31K stars
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Installation

npx skills add https://github.com/dietrichgebert/ponytail --skill ponytail-audit

Summary

>

SKILL.md

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.

Score

0–100
57/ 100

Grade

C

Popularity17/30

664 installs — growing adoption. Source repo has 31,330 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Ponytail Audit skill score badge previewScore badge

Markdown

[![Ponytail Audit skill](https://www.remoteopenclaw.com/skills/dietrichgebert/ponytail/ponytail-audit/badges/score.svg)](https://www.remoteopenclaw.com/skills/dietrichgebert/ponytail/ponytail-audit)

HTML

<a href="https://www.remoteopenclaw.com/skills/dietrichgebert/ponytail/ponytail-audit"><img src="https://www.remoteopenclaw.com/skills/dietrichgebert/ponytail/ponytail-audit/badges/score.svg" alt="Ponytail Audit skill"/></a>

Ponytail Audit FAQ

How do I install the Ponytail Audit skill?

Run “npx skills add https://github.com/dietrichgebert/ponytail --skill ponytail-audit” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Ponytail Audit skill do?

> The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Ponytail Audit skill free?

Yes. Ponytail Audit is a free, open-source skill published from dietrichgebert/ponytail. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Ponytail Audit work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Ponytail Audit works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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Reach 56,000+ AI builders from just $0.50 a click

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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Reach 56,000+ AI builders from just $0.50 a click

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White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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