Shellbrain usage review
Skill cucupac/shellbrain/onboarding_assets/codex/shellbrain-usage-review
ShellBrain. Long-term memory for AI.
npx -y skills add cucupac/shellbrain --skill shellbrain-usage-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when a reviewer agent needs one fast cross-repo picture of how agents are using Shellbrain, where the product is working, where it is failing, and which expected capabilities are being skipped.
SKILL.md
1.0 KB, 162 tokens by cl100k_base, as published. Nobody here has run it
Shellbrain Usage Review
Run the canonical cross-repo analytics report and synthesize it for review.
Primary Command
shellbrain admin analytics --days 2
What To Extract
- where Shellbrain is working well
- where it is failing
- what is failing and why
- where working agents are skipping expected
recall - where internal recall or knowledge-builder runs are failing
- the top priorities that should drive product follow-up
Operating Rules
- treat the JSON report as the source of truth
- do not reconstruct the report with ad hoc SQL unless the command is broken
- summarize the strongest wins, the most important failures, and the highest-priority capability gaps first
- use
repo_rollupsonly as secondary supporting context
What ships with it: 3 files
115.3 KB alongside SKILL.md
agents/
- openai.yaml418 B
assets/
- shellbrain_logo.png113.8 KB
- shellbrain-small.svg1.1 KB
