swe-bench
swe-bench is an LLM evaluation & observability skill for AI agents, published by opensquilla in the opensquilla repository on GitHub. Skillspace rates swe-bench D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run SWE-bench instances with an OpenSquilla agent inside the official Docker images. Trigger when the user wants to run/solve/evaluate a SWE-bench instance (e.g. 'run django__django-16429', 'test OpenSquilla on SWE-bench', '跑一道 SWE-bench 题'), benchmark the agent on SWE-bench_Verified or SWE-bench_Multilingual, or check whether a generated patch resolves an instance. Optional dependency — install via `pip install opensquilla[swebench]`; also needs the docker CLI and an OPENROUTER_API_KEY.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 6,081
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Running public SWE-bench images with the OpenSquilla agent product
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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