diff-eval
Skill3 starsChanged 8 months agoNo licenceView on GitHub
Evaluate agent-generated code changes against a human-approved PR. Compares the local git diff (modified + untracked files, relative to the PR's merge base commit) with the ground truth PR diff, filters out auto-generated files, scores using a structured rubric (functional correctness, completeness, behavioral equivalence), and provides both semantic and data-based coverage analysis. Use when evaluating agent code generation quality, benchmarking AI coding tools, or comparing generated patches against human-approved pull requests. Trigger on "/diff-eval", "evaluate diff", "compare diff with PR", "score the changes".
In this repository19 other files it gives its agents.
- academic-researcherSkill
- analyze-pptxSkill
- commit-push-pr-workflowSkill
- commit-pushSkill
- detect-vulnerabilitySkill
- diff-eval-funcSkill
- diff-eval-localSkill
- extract-paper-imagesSkill
- find-skillsSkill
- frontend-slidesSkill
- hf-downloadSkill
- huawei-latex-slidesSkill
- humanizerSkill
- organize-inboxSkill
- paper-analyzeSkill
- paper-searchSkill
- sourcery-review-loopSkill
- srt-to-markdownSkill
- start-my-daySkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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.