evals
Skill1 starsChanged 50 days agoNo licenceView on GitHub
Scaffold deterministic assertions, calibrated LLM-as-a-judge eval suites, or distill raw JSON production traces into reproducible test fixtures. Use when building or testing non-deterministic AI pipelines, prompts, RAG retrieval, or converting incident traces into regression tests. Use when scoring which cost class can maintain this repo (frozen Red tasks, n ≥ 3 per arm). Do not use for purely deterministic code where standard TDD applies, ordinary product features, or pinning a vendor model name.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- scottlivingston/claude-skillstheir own version, first seen Nov 8, 2026
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- jstilb/ai-assistanttheir own version, first seen Nov 1, 2026
- rterakedis/leanwheel-skillstheir own version, first seen Oct 17, 2026
- muggl3mind/career-managertheir own version, first seen Oct 1, 2026
- johnviklund/agent-skillstheir own version, first seen Sep 12, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- renzrollon/interlock★ 61same name
- muggl3mind/career-manager★ 24same name
- johnviklund/agent-skills★ 2same name
- rterakedis/leanwheel-skills★ 2same name
- scottlivingston/claude-skills★ 1same name
- jstilb/ai-assistant★ 0same name
- mj-deving/pai-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/blast-radius.mdcCursor rule
- .cursor/rules/comments-belong-in-docs.mdcCursor rule
- .cursor/rules/reply-shape.mdcCursor rule
- .cursor/rules/tdd.mdcCursor rule
- .cursor/rules/unfurnished-bias.mdcCursor rule
- .cursor/rules/yagni-bias.mdcCursor rule
- .cursor/rules/yagni.mdcCursor rule
- blueprintSkill
- grillSkill
- sdd-engSkill
- sddSkill
- ticketSkill
- unfurnishedSkill
- verifySkill
- write-skillSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.