ZBS Index What actually exists in applied AI, with the source next to it

skill

ponytail-audit

Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features.

Description as published by the maintainer. Source

  • active

active — Most recent push to the repository was 2026-07-15.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 97,316 Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. cumulative, all time GitHub
Last commit 2026-07-15 Most recent push to the containing repository. It may reflect work on a different skill in the same collection. point in time GitHub
repository status active The repository holding this skill exists and is not archived. as of fetch GitHub

Will this work with your setup?

No harness stated by the author and no install path convention detected. Compatibility is untested.

We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.

The skill definition lives at .openclaw/skills/ponytail-audit/SKILL.md in https://github.com/DietrichGebert/ponytail.

Where to get it

Related, by what their authors tagged them

  • dietrichgebert-ponytail-ponytail — last commit 2026-07-15, shares claude-code-plugin, cursor-rules, prompt-engineering
    Lazy senior dev mode for any coding task (write, refactor, fix, review): YAGNI, stdlib first, no unrequested abstractio…
  • dietrichgebert-ponytail-ponytail-debt — last commit 2026-07-15, shares claude-code-plugin, cursor-rules, prompt-engineering
    Harvest every ponytail: shortcut comment into one debt ledger, so deferrals get tracked instead of forgotten. One-shot…
  • dietrichgebert-ponytail-ponytail-gain — last commit 2026-07-15, shares claude-code-plugin, cursor-rules, prompt-engineering
    Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the benchmark medians. One-shot d…
  • dietrichgebert-ponytail-ponytail-help — last commit 2026-07-15, shares claude-code-plugin, cursor-rules, prompt-engineering
    Quick reference for ponytail's modes, skills, and commands. One-shot display.
  • dietrichgebert-ponytail-ponytail-review — last commit 2026-07-15, shares claude-code-plugin, cursor-rules, prompt-engineering
    Review a diff for over-engineering. Finds what to delete: reinvented stdlib, needless deps, speculative abstractions. O…
  • io.github.GeiserX/lynxprompt-mcp — last commit 2026-08-01, shares cursor-rules, prompt-engineering
    MCP server for LynxPrompt — browse, search, and manage AI configuration blueprints
  • GhostSwap — last commit 2026-06-08, shares cursor-rules
    GhostSwap — non-custodial crypto swaps across 1,600+ coins.
  • io.github.1111111111111111111114oLvT2/inquisitor — last commit 2026-08-05, shares claude-code-plugin, prompt-engineering
    Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
  • CompletionKit — last commit 2026-08-05, shares prompt-engineering
    Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
  • Promptibus MCP — last commit 2026-05-11, shares prompt-engineering
    Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.

These share tags the maintainers applied themselves, such as claude-code-plugin, cursor-rules, prompt-engineering, yagni. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-skills, ai-agents, claude, claude-code, claude-code-plugin, cursor-rules, developer-tools, llm, prompt-engineering, yagni.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/skill.json

Sources

  1. DietrichGebert/ponytail on GitHub — GitHub, observed , trust tier 3.