Alternatives to ponytail-audit
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About ponytail-audit
ponytail-audit
Quality audit of a whole repo: bugs, security holes
ponytail-audit is an agent skill from the dietrichgebert ponytail collection, listed on skills.sh. It runs a quality audit of a whole repository, or of the folder or package a person names, looking for bugs, security holes, what would break under real load, risky code without tests, slow paths, and what to delete, merge or split. It works like a senior developer who has just inherited the code and will be paged when it fails. The order of importance is correct, safe, holds under load, tested, fast and lean. The audit first maps the repository: the README, deploy and build configuration, the dependency list, entry points and tests. It judges scale against the expected load and states which load it assumed. It then traces the main flows from input through storage to output, reading closely the paths that handle user input, money, authentication, data writes and background jobs. In a large repository it goes deep where a mistake costs most, and it says which parts it did not read. The report is given in full. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows all three security audits passing.
- Price
- Free
- Made by
- dietrichgebert
- Category
- AI Skills
- Website
- github.com/dietrichgebert/ponytail/ponytail-audit