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Analyze AI config evolution in a git repo.
Passed 17 of 19 test cases with the skill, and 9 of 19 without it.
and 8 more in the full report
8 fixed9 passed either way2 still failing0 broke3 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
An execution request is made with only `repo_path=/Users/dev/projects/widget-tool`. Neither `output` nor `slug` parameters are provided. Where should the report be generated by default?
| Checked | Without skill | With skill |
|---|---|---|
| The report defaults output directory to `./talks`. | Missed | Passed |
| The output file is saved as `./talks/widget-tool-git-archaeology.md`. | Missed | Passed |
The instructions your model reads when the skill loads.
Produces a complete analysis of AI config evolution in a git repository. Finds when each AI configuration file was created, how AI-config commit velocity evolved month by month, which PRs structured the evolution, and identifies maturity phases.
Output: a single file {output_dir}/{slug}-git-archaeology.md
/git-ai-archaeology repo_path=/path/to/repo [output=./talks/slug] [slug=talk-name] [since=2025-01-01]
repo_path: absolute path to the target git repo (required)output: output directory (default: ./talks)slug: output filename (default: repo folder name)since: analysis start date (default: first repo commit)# Verify it's a git repo
git -C {repo_path} rev-parse --git-dir
# Global metrics
git -C {repo_path} log --oneline | wc -l # total commits
git -C {repo_path} tag --sort=version:refname | wc -l # total releases
git -C {repo_path} shortlog -sn --no-merges | wc -l # contributors
test cases passed, vs 9 / 19 without
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