god-modeDeveloper oversight and AI agent coaching. Use when viewing project status across repos, syncing GitHub data, or analyzing agents.md against commit patterns.
Install via ClawdBot CLI:
clawdbot install InfantLab/god-modeDeveloper oversight and AI agent coaching for OpenClaw.
god-mode gives you a bird's-eye view of all your coding projects and coaches you to write better AI agent instructions.
Key features:
```bash
god setup
god projects add github:myuser/myrepo
god sync
god status
god agents analyze myrepo
```
god status [project]Show overview of all projects, or details for one:
```bash
god status # All projects
god status myproject # One project in detail
```
god sync [project] [--force]Fetch/update data from repositories:
```bash
god sync # Incremental sync all
god sync myproject # Just one project
god sync --force # Full refresh (ignore cache)
```
god projectsManage configured projects:
```bash
god projects # List all
god projects add github:user/repo # Add project
god projects remove myproject # Remove project
```
god agents analyze Analyze agents.md against commit history:
```bash
god agents analyze myproject
```
Finds gaps between your agent instructions and actual work patterns, suggests improvements.
god agents generate (Coming Soon)Bootstrap agents.md for a new project by analyzing repo structure.
Config file: ~/.config/god-mode/config.yaml
```yaml
projects:
name: My Project # Display name
priority: high # high/medium/low
tags: [work, api]
local: ~/code/myrepo # Local clone path
sync:
initialDays: 90 # First sync lookback
commitsCacheMinutes: 60
analysis:
agentFiles: # Files to search for
```
All data stored locally in ~/.god-mode/:
cache.db - SQLite database (commits, PRs, issues, analyses)contexts/ - Saved workspace contexts (v0.2)god-mode uses your existing CLI authentication:
| Provider | CLI | Setup |
|----------|-----|-------|
| GitHub | gh | gh auth login |
| Azure | az | az login |
| GitLab | glab | glab auth login |
No tokens stored by god-mode. We delegate to CLIs you already trust.
gh - GitHub CLI (for GitHub repos)sqlite3 - Databasejq - JSON processing```bash
god status
```
```bash
god status myproject
```
```bash
god agents analyze myproject
```
```bash
god status
```
```markdown
god status and summarize:```
```yaml
schedule: "0 9 1" # Monday 9am
task: |
Run god agents analyze on high-priority projects.
If gaps found, notify with suggestions.
```
Install GitHub CLI: https://cli.github.com/
Run: gh auth login
Add a project: god projects add github:user/repo
Force refresh: god sync --force
OpenClaw Community Skill
License: MIT
Repository: https://github.com/InfantLab/god-mode-skill
Generated Mar 1, 2026
A software development team manager uses god-mode to monitor activity across multiple GitHub repositories, tracking commit patterns, PR statuses, and issue backlogs. This enables quick identification of stalled projects or bottlenecks, facilitating daily stand-ups and resource allocation without manually checking each repo.
A freelance developer leverages god-mode to analyze their commit history against AI agent instructions in agents.md files, identifying gaps where the AI misunderstands coding patterns. This helps refine prompts for tools like GitHub Copilot, improving code generation accuracy and reducing manual corrections in solo projects.
An open-source maintainer uses god-mode to sync data from multiple contributors' forks and track overall project health, including PR reviews and issue trends. The tool's local cache allows fast queries during community meetings, helping prioritize tasks and ensure consistent development pace across distributed teams.
A DevOps engineer integrates god-mode into their workflow to oversee repositories across GitHub and Azure DevOps, syncing commit data to analyze deployment patterns. By correlating agent instructions with actual commits, they coach team members on writing better automation scripts, enhancing CI/CD efficiency and reducing errors.
An instructor running coding workshops uses god-mode to track student projects on GitHub, monitoring progress and identifying common commit mistakes. The agent analysis feature helps tailor AI assistant instructions for learners, providing personalized feedback and improving educational outcomes in tech training programs.
Offer a basic free tier for individual developers with limited projects and syncs, while charging teams for advanced features like priority support, extended historical data analysis, and integration with enterprise platforms like Azure DevOps. Revenue comes from monthly subscriptions based on team size and repository count.
Sell annual licenses to large corporations needing oversight across hundreds of repositories, with custom features such as on-premise deployment, enhanced security audits, and dedicated training. Revenue is generated through tiered pricing based on the number of repositories and additional consulting services for integration.
Monetize by offering paid add-ons in developer marketplaces, such as plugins for IDEs like VS Code, enhanced analytics dashboards, or integrations with project management tools like Jira. Revenue streams include one-time purchase fees or commissions from marketplace sales, leveraging the existing open-source user base.
š¬ Integration Tip
Ensure gh, sqlite3, and jq are installed and authenticated via CLI before setup; use the config.yaml to customize agent file names and sync settings for optimal performance.
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