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7-stage super workflow for GitHub repo audit, cleanup, PR review, and competitor analysis
Passed 19 of 22 test cases with the skill, and 8 of 22 without it.
and 8 more in the full report
11 fixed8 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
During automated repository checks on https://github.com/data/ml-utils, what size threshold is used to flag large files that should not be tracked directly in git history?
| Checked | Without skill | With skill |
|---|---|---|
| Flags files exceeding 1MB as large files. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
/super-workflow or /openclaw-github-repo-commander on a repo URLClone the target repository, define success criteria, and establish baseline metrics.
Run scripts/repo-audit.sh <repo-path> from this skill directory — automated read-only checks for:
ghp_, sk-, AKIA, etc.)node_modules/ or build artifacts.gitignore coverageDeep manual review beyond automation: content quality, documentation consistency, structural issues, version mismatches.
Search GitHub for similar repositories. Compare documentation standards, feature coverage, star counts, and community adoption.
Consolidate all findings into a prioritized action plan (P0 critical / P1 important / P2 nice-to-have).
Execute the plan: delete low-value files, fix security issues, upgrade documentation, add CI workflows, update changelogs.
test cases passed, vs 8 / 22 without
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