swe-bench
Skill2 starsChanged 7 months agoNo licenceView on GitHub
Run SWE-bench Verified (the 500-instance coding benchmark) against any OpenAI-compatible endpoint. Use this skill whenever the user mentions SWE-bench, wants to benchmark a model on coding tasks, evaluate an LLM's code repair ability, run swebench verified, test a model served by SGLang or vLLM on software engineering tasks, or compare thinking vs non-thinking mode on SWE-bench. Also trigger when the user says 'run the benchmark', 'evaluate on swe-bench', 'test this endpoint on coding', or provides an API endpoint URL and asks to benchmark it.
- Pipes a download into a shell
- Deletes or force-pushes
- Installs packages
- Sends data out
In this repository9 other files it gives its agents.
- cuda-cpp-kernelSkill
- cute-dsl-kernelSkill
- cutlass-cpp-kernelSkill
- nvfp4-conversionSkill
- post-pr-reviewSkill
- sglang-ci-monitorSkill
- swe-bench-proSkill
- terminal-bench-harborSkill
- vast-ai-cliSkill
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 6 are distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
6
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?
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Your trail
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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.