Skill: nickludlam/git-log-intelligence (version 1.0.2)

--- name: git-log-intelligence description: Fetch, filter, and summarize GitHub repository activity without cloning. Use whenever the user asks what changed in a repo, wants a changelog summary, asks about recent commits or PRs, or wants to tune out noisy commit patterns. Maintains a persistent ignore list to hide bot/CI/chore noise automatically. metadata: { "openclaw": { "requires": { "bins": ["gh"], "env": ["GITHUB_PERSONAL_ACCESS_TOKEN"] } } } --- ## Prerequisites - `gh` CLI installed. Authenticate via one of: - `GITHUB_PERSONAL_ACCESS_TOKEN` environment variable (required) - For read-only public repo access, grant only the `public_repo` scope. For private repos, use `repo` scope. - Note: this skill creates `.config/git_filters.json` relative to the script's location to persist ignore patterns. Delete this file to reset to defaults. ## Compatibility - **Required tools:** `gh` - **Environment variables:** - `GITHUB_PERSONAL_ACCESS_TOKEN` (required): GitHub Personal Access Token. Grant minimal scopes: `public_repo` for public repos, `repo` for private repos. ## Directory Structure - `git_log_intelligence.py`: The primary script containing execution logic. - `.config/git_filters.json`: The persistent memory of ignore patterns. ## Capabilities ### 1. Summarize Repo Changes Fetches the last N days of commits and filters them against the "Ignore List." Command: `python3 skills/git_log_intelligence.py summarize OWNER/REPO DAYS` ### Agent Logic: Call the script with the repo name and timeframe. Receive a filtered list of "Important" commits. Present a natural language summary to the user, noting how many noisy commits were hidden. ### 2. Maintaining and Updating the Ignore List The agent can add new patterns to the ignore list based on user feedback. Command: `python3 skills/git_log_intelligence.py ignore "PATTERN"` The agent can also show the current ignore patterns or remove specific ones. Command: `python3 skills/git_log_intelligence.py show` The agent can remove a pattern with: Command: `python3 skills/git_log_intelligence.py remove "PATTERN"` ### Usage Example: 1. User: "Claw, stop showing me commits from 'GitHub Actions' or anything starting with 'ci:'." 2. Agent: Runs python3 skills/git_log_intelligence.py ignore "GitHub Actions" and python3 skills/git_log_intelligence.py ignore "^ci:". 3. User: "Show me the current ignore patterns." 4. Agent: Runs python3 skills/git_log_intelligence.py show 5. User: "Remove the ignore pattern for 'GitHub Actions'." 6. Agent: Runs python3 skills/git_log_intelligence.py remove "GitHub Actions" ### Technical implementation: See the `git_log_intelligence.py` script for the full code, but the key functions are: 1. Quick Scan (Default): `python3 skills/git_log_intelligence.py summarize OWNER/REPO DAYS` 2. Deep Context (Full Messages): `python3 skills/git_log_intelligence.py summarize OWNER/REPO DAYS --full` Note to Agent: Use --full when the user asks for a "detailed summary," "technical breakdown," or "why" things were changed. Use the default mode for a "quick list" or "recent activity check." You can also ask the user if they want the full context after showing the quick summary. ## How It Works The script uses `gh api` to fetch commits via the GitHub REST API (`/repos/{owner}/{repo}/commits`), filters them client-side against `.config/git_filters.json`, and outputs structured text for the agent to summarize. ### Troubleshooting If the script exits non-zero, check gh auth status first. ## User Interaction Flow 1. Request: "What's new in tailscale/tailscale this week?" 2. Execution: Agent runs `python3 skills/git_log_intelligence.py summarize tailscale/tailscale 7`. 3. Feedback: "Too much noise from the build bot." 4. Learning: Agent runs `python3 skills/git_log_intelligence.py ignore "build bot"`. 5. Next Time: The build bot commits are gone forever.

path: .config/git_filters.json
content: {
  "ignore_patterns": [
    "fix(ci)",
    "style:",
    "^ci",
    "^docs",
    "^test",
    "^chore",
    "Dependabot"
  ]
}

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)