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straymark-ailog

Generate an AI Action Log document from current git changes.

2|Updated Apr 2, 2026
Search Tags:#git#documentation#developer workflow#risk assessment#templating#change tracking#ailog
One-click install
npx skills add https://github.com/StrangeDaysTech/arborist-cli --skill straymark-ailog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: straymark-ailog
Source: https://github.com/StrangeDaysTech/arborist-cli/tree/main/.gemini/skills/straymark-ailog
Command: npx skills add https://github.com/StrangeDaysTech/arborist-cli --skill straymark-ailog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the repetitive, manual work of turning your recent git changes into a structured AI Action Log (AILOG) file with consistent IDs, titles, and risk signaling.

Core Features & Use Cases

  • Change-to-log workflow: Detects modified files and summarizes changes using git status and git diff so the log reflects what actually changed.
  • Daily sequential AILOG IDs: Creates an AILOG filename and internal ID using the current date plus the next sequence number for that day.
  • Language-aware templates: Reads .straymark/config.yml to select an English or Spanish AILOG template for consistent formatting.
  • Risk level guidance: Uses modified-file categories (e.g., security/auth vs config/settings vs business logic) to populate or drive a risk_level selection.

Quick Start

Run straymark-ailog to review detected changes and generate the next AILOG document in .straymark/07-ai-audit/agent-logs/ using the configured language template.

Frequently Asked Questions about straymark-ailog

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

FAQPage Schema
How do I generate an AI action log from git changes for my commit?▼

An AI action log captures modified files and change summaries from your git diff, providing structured documentation of agent actions during commits, pull requests, or iterative work sessions.

How does risk assessment work when documenting code modifications?▼

Risk assessment for code modifications categorizes changed files into groups like security/auth or config/settings to automatically populate and drive a risk_level field in your documentation.

Do I need a configuration file to generate sequential AILOG IDs?▼

Yes, you need `.straymark/config.yml` to select English or Spanish templates, ensuring the generated AILOG file maintains consistent formatting and language preferences across your project.

Can I use this with my existing developer workflow for pull requests?▼

Yes, this integrates into daily developer workflows by documenting agent actions during commits, pull requests, or iterative sessions, creating sequential logs in `.straymark/07-ai-audit/agent-logs/`.

What's the best way to track AI agent changes in a git repository?▼

The best way to track AI agent changes is generating an AILOG file that captures modified files, summarizes git diff output, assigns dated sequential IDs, and signals risk levels for consistent auditability.

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