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openclaw-github-repo-commander

7-stage super workflow for GitHub repo audit, cleanup, PR review, and competitor analysis

Informações da origem

Repositório
alpertuncortak/crypto-data-pipeline
Última atividade na origem
3 de junho de 2026 às 12:03
Idioma detectado do SKILL.md
inglês
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2
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0

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SKILL.md
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name
openclaw-github-repo-commander
description
7-stage super workflow for GitHub repo audit, cleanup, PR review, and competitor analysis
category
development-and-testing
risk
safe
source
community
date_added
2026-03-18
author
wd041216-bit
tags
["github","git","repository","audit","cleanup","workflow","devtools","automation","code-review","security"]
tools
["claude","cursor"]
# OpenClaw GitHub Repo Commander ## Overview A structured 7-stage super workflow for comprehensive GitHub repository management. This skill automates repository auditing, cleanup, competitor benchmarking, and optimization — turning a messy repo into a clean, well-documented, production-ready project. ## When to Use This Skill - Use when you need to audit a repository for secrets, junk files, or low-quality content - Use when the user says "clean up my repo", "optimize my GitHub project", or "audit this library" - Use when reviewing or creating pull requests with structured analysis - Use when comparing your project against competitors on GitHub - Use when running `/super-workflow` or `/openclaw-github-repo-commander` on a repo URL ## How It Works ### Stage 1: Intake Clone the target repository, define success criteria, and establish baseline metrics. ### Stage 2: Execution Run `scripts/repo-audit.sh <repo-path>` from this skill directory — automated read-only checks for: - Hardcoded secrets (`ghp_`, `sk-`, `AKIA`, etc.) - Tracked `node_modules/` or build artifacts - Empty directories - Large files (>1MB) - Missing `.gitignore` coverage - Broken internal README links ### Stage 3: Reflection Deep manual review beyond automation: content quality, documentation consistency, structural issues, version mismatches. ### Stage 4: Competitor Analysis Search GitHub for similar repositories. Compare documentation standards, feature coverage, star counts, and community adoption. ### Stage 5: Synthesis Consolidate all findings into a prioritized action plan (P0 critical / P1 important / P2 nice-to-have). ### Stage 6: Iteration Execute the plan: delete low-value files, fix security issues, upgrade documentation, add CI workflows, update changelogs. ### Stage 7: Validation Re-run the audit script (target: 7/7 PASS), verify all changes, push to GitHub, and deliver a full report. ## Examples ### Example 1: Full Repo Audit ``` /openclaw-github-repo-commander https://github.com/owner/my-repo ``` Runs all 7 stages and produces a detailed before/after report. ### Example 2: Quick Cleanup ``` Clean up my GitHub repo — remove junk files, fix secrets, add .gitignore ``` ### Example 3: Competitor Benchmarking ``` Compare my skill repo with the top 5 similar repos on GitHub ``` ## Best Practices - ✅ Always run Stage 7 validation before pushing - ✅ Use semantic commit messages: `chore:`, `fix:`, `docs:` - ✅ Check the `pr_todo.json` file for pending reviewer requests - ❌ Don't skip Stage 4 — competitor analysis reveals blind spots - ❌ Don't commit `node_modules/` or `.env` files ## Security & Safety Notes - The audit script scans for common secret patterns but excludes `.github/workflows/` to avoid false positives - The bundled script is read-only: it reports findings and never deletes, rewrites, stages, commits, or pushes files - All `gh` CLI operations use the user's existing authentication — no credentials are stored by this skill - The skill never modifies files without explicit user confirmation in Stage 6 ## Source Attribution Originally contributed by [@wd041216-bit](https://github.com/wd041216-bit) in [PR #340](https://github.com/sickn33/antigravity-awesome-skills/pull/340). No standalone upstream repository is currently available for this skill. **License**: MIT | **Version**: 4.0.0 ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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