ponytail

Reviews supplied code and diffs against a stated task using evidence-grounded guidelines.

Updated Sep 7, 2026
One-click install
npx skills add https://github.com/cgfixit/CG-agent-harness --skill ponytail-cgfixit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ponytail
Source: https://github.com/cgfixit/CG-agent-harness/tree/main/assets/skills/ponytail
Command: npx skills add https://github.com/cgfixit/CG-agent-harness --skill ponytail-cgfixit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Code reviews and coding discussions often drift into speculation about files never inspected or checks never run. This Skill keeps coding conversations grounded by requiring that every finding ties to code or diffs actually supplied by the user, and that verification performed is described separately from checks still proposed. ## Core Features & Use Cases - Evidence-grounded review: Each review finding is tied to supplied code or diffs, with its impact explained, rather than claiming to have inspected files or executed checks. - Scoped implementation guidance: Seven guidelines keep changes minimal, prefer the standard library, avoid unused code and placeholders, and favor verifiable correctness over cleverness. - Clear execution boundaries: Selecting the skill does not connect a repository or run commands; executable coding tasks require the application's separate staged request, confirmation, write policy, and subprocess path. - Use Case: Paste a diff from a recent change and ask for a review. The Skill evaluates only that diff, flags issues tied to specific lines, and lists which checks were reasoned about versus which still need to be run. ## Quick Start Ask the assistant to review the code or diff you paste into the chat and explain each finding's impact based only on the supplied evidence.

Frequently Asked Questions about ponytail

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a code review grounded only in the code I provide?▼

Paste the code or diff directly into the chat and ask for a review. Each finding is tied to the supplied evidence with its impact explained, and missing evidence is described rather than assumed.

How to keep code changes scoped to the requested task?▼

Follow the skill's guidelines: implement only behavior the current task requires, prefer the standard library, avoid unused code and placeholders, and add abstractions only when demonstrated repetition justifies them.

Does this skill run commands or connect to my repository?▼

No. Selecting this prompt skill does not connect a repository or execute commands. Executable coding tasks require the application's separate staged request, explicit confirmation, write policy, and subprocess execution path.

Can it review code without knowing my branch or project structure?▼

Yes. The review does not assume a branch name, default branch, repository path, or project. It evaluates only the code or diffs actually supplied in the conversation.

What are the limitations of evidence-only code review?▼

Review is limited to supplied code, so issues in unsupplied files or runtime behavior cannot be confirmed. Checks not actually performed are listed as proposed rather than claimed as completed.