skills.rest
taiyousan15
taiyousan15COMMUNITY
Explore all skills by this author →
GitHub

agent-trace

Track AI-generated code contributions and generate authorship statistics.

Updated Aug 27, 2026
Search Tags:#git#developer tools#ai development#compliance#code tracing#code attribution
One-click install
npx skills add https://github.com/taiyousan15/taisun_agent --skill agent-trace
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-trace
Source: https://github.com/taiyousan15/taisun_agent/tree/main/.claude/skills/agent-trace
Command: npx skills add https://github.com/taiyousan15/taisun_agent --skill agent-trace

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of attributing code authorship in AI-assisted development, ensuring clarity on which parts of the codebase were generated by AI and which by humans.

Core Features & Use Cases

  • AI Code Attribution: Automatically records when AI tools generate or modify code.
  • Contribution Tracking: Provides statistics on AI vs. human code contributions.
  • Use Case: In a team using AI for code generation, this skill helps maintain an auditable trail of AI's involvement, crucial for compliance and understanding development velocity.

Quick Start

Check the AI code attribution statistics for the current project.

Frequently Asked Questions about agent-trace

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

FAQPage Schema
How do I track AI-generated code contributions in my software project?▼

AI vs human code attribution statistics are generated by recording modifications made by AI agents into a local JSON storage mechanism. This enables clear tracking and statistical analysis of AI versus human authorship within your software development project.

Can I generate compliance reports for AI-assisted code development?▼

Compliance reporting for AI-assisted code development is supported by maintaining an auditable trail of AI involvement. The system captures AI code modifications automatically, enabling you to generate statistical analysis on AI versus human authorship for compliance purposes.

How does automated code attribution work for AI agents?▼

Automated code attribution for AI agents works through post-tool-use hooks that capture code modifications as they occur. These records are stored in a local JSON storage mechanism, allowing you to statistically analyze AI versus human authorship across the codebase.

Does AI code attribution require a specific database setup?▼

AI code attribution does not require a complex database setup because it utilizes a local JSON storage mechanism to manage trace records. This lightweight storage captures modifications made by AI agents automatically through post-tool-use hooks.

What is the best way to audit AI involvement in a team codebase?▼

Auditing AI involvement in a team codebase is best handled by automatically recording when AI tools generate or modify code. This provides contribution tracking statistics on AI versus human code, ensuring an auditable trail for compliance and development velocity analysis.

Related Skills

Explore More Software Engineering Skills→
greatSuminigreatSumini
434

hook-creator

Create and configure Claude Code hooks for lifecycle events with JSON.

Community
Intermediate
datavorousdatavorous
1

rose-computational-linguistics

Analyze Reddit text corpora with stylometric, behavioral, and semantic profiling.

Community
Advanced
AIAsysAIAsys
21

commit-history-audit

Audit Git commit histories for duplicate messages, stash commits, and stale branches.

Official
Intermediate
LuisSambranoLuisSambrano
7

git-commit

Generate Git commit messages following Conventional Commits and Sentry conventions.

Community
Intermediate