Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
Ponytail provides a structured approach to auditing codebases for bugs, security risks, and performance bottlenecks. It helps developers identify missing tests and determine which components are candidates for deletion.
The tool focuses on visibility into deferred shortcuts, consolidating scattered comments and technical debt into a single ledger to ensure architectural compromises are tracked rather than forgotten.
WHO IT'S FOR
AI agent / automation builders
implementing YAGNI principles in AI coding workflows
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
A repository with staged changes and access to its connected code, tests, README, and deployment configuration where available.
Make sure ponytail-review is installed in your agent before trying this task.
Use ponytail-review to review my staged changes and the connected code. Explain what the change does, report concrete findings grouped by severity, and suggest the smallest fixes. State the expected load you assumed and anything important you could not check. Do not change code.
Make sure ponytail-help is installed in your agent before trying this task.
Use ponytail-help to show the quick reference for Lite, Full, and Ultra, the available skills, and how to deactivate Ponytail. Display the reference without changing the current mode or writing files.