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pr-control-log

Generate a Markdown control log auditing AI behavior and spec deviations in PRs.

Updated May 15, 2026
Search Tags:#code quality#PR#AI audit#spec deviation#PR control log
One-click install
npx skills add https://github.com/heyu-ai/yibi-stack --skill pr-control-log
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-control-log
Source: https://github.com/heyu-ai/yibi-stack/tree/main/plugins/pr-flow/skills/pr-control-log
Command: npx skills add https://github.com/heyu-ai/yibi-stack --skill pr-control-log

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, gh, jq, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an AI-audited PR control log to track autonomy and spec deviation, ensuring code quality and maintainability.

Core Features & Use Cases

  • PR Behavior Audit: Records AI decisions and spec deviations from PRs.
  • User Calibration Loop: Allows users to review and refine AI-generated entries.
  • Markdown Artifact Generation: Creates a detailed control log for PR reviews.

Quick Start

Run the 'pr-control-log' skill to generate a control log for a specific PR.

Frequently Asked Questions about pr-control-log

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

FAQPage Schema
How do I track AI spec deviations in a pull request?▼

Tracking AI spec deviations in a pull request requires auditing AI behavior against project specifications. This Skill analyzes PR workflows using git and generates a markdown control log that records AI decisions and spec deviations.

What is a PR control log and how does it help code review?▼

A PR control log is a markdown artifact that records AI decisions and spec deviations during pull request generation. It helps code review by providing an audited trail of AI behavior, ensuring code quality and maintainability through a user calibration loop.

How do I generate an AI audit log for a GitHub pull request?▼

Generating an AI audit log for a GitHub pull request requires configuring skill repositories and accessing PR data via git and gh. You run the Skill to analyze PR workflows and output a markdown control log tracking AI autonomy and deviations.

Do I need git and gh installed to audit PR behavior and spec deviations?▼

Yes, you need git, gh, jq, and python installed to audit PR behavior and spec deviations. These dependencies are required to access PR data, parse repository information, and execute the AI analysis scripts that generate the control log.

Can I review and refine AI-generated control log entries for my PR?▼

Yes, you can review and refine AI-generated control log entries for your PR through the user calibration loop. This feature allows you to adjust the recorded AI decisions and spec deviations before finalizing the markdown artifact for code review.

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