Creator · DietrichGebert
Last updated · Sep 1, 2026
Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features.
Review then install
Install targets
Codex install prompt
Install the "ponytail-audit" agent skill from https://github.com/DietrichGebert/ponytail/tree/main/.openclaw/skills/ponytail-audit. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"dietrichgebert-ponytail-audit","task":"Install ponytail-audit","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add DietrichGebert/ponytail --skill ponytail-audit
Maintenance
active
1mo since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
120K
92/100 Quality · 86/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
120K GitHub stars
Repo activity
120K stars, 6.5K forks
Maintenance
1mo since push
License
MIT
Install
npx skills add DietrichGebert/ponytail --skill ponytail-audit
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add DietrichGebert/ponytail --skill ponytail-auditDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20ponytail-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ponytail-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/dietrichgebert-ponytail-audit/install
Agent should check
Copy prompt
Task: Use ponytail-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ponytail-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/dietrichgebert-ponytail-audit/install
Install command: npx skills add DietrichGebert/ponytail --skill ponytail-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/dietrichgebert-ponytail-audit/install
LLM text format
/api/skills/dietrichgebert-ponytail-audit/install?format=text
Find alternatives
/api/skills/search?q=ponytail-audit&limit=3
Agent prompt
Use ponytail-audit for this task. Review https://www.openagentskill.com/api/skills/dietrichgebert-ponytail-audit/install, then install with: npx skills add DietrichGebert/ponytail --skill ponytail-auditRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/dietrichgebert-ponytail-audit
LLM text
/api/registry/manifest/dietrichgebert-ponytail-audit?format=text
Install alias
/api/registry/install/dietrichgebert-ponytail-audit
Recommend
/api/registry/recommend?task=Use%20ponytail-audit%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS120K GitHub stars
Stars/forks activity
PASS120K stars, 6.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: ponytail-audit description: "Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features." homepage: https://github.com/DietrichGebert/ponytail license: MIT ---
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
Scope: over-engineering and complexity only. Correctness bugs, security holes, and performance are explicitly out of scope. Route them to a normal review pass. Lists findings, applies nothing. One-shot. "stop ponytail-audit" or "normal mode" to revert.
Source provenance
Decision snapshot
119,700 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for ponytail-audit, ready for a manual X post.
ponytail-audit: Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or repl... 119.7K stars https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit?ref=x
Listing + install path for ponytail-audit: https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit?ref=x Install: npx skills add DietrichGebert/ponytail --skill ponytail-audit
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to DietrichGebert but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit/audit)
[](https://www.openagentskill.com/skills/dietrichgebert-ponytail-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)DietrichGebert
@dietrichgebert
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
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27.4K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness