adapter
adapter is an LLM evaluation & observability skill for AI agents, published by benchflow-ai in the benchflow repository on GitHub. Skillspace rates adapter D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Adopt, convert, verify, and publish upstream benchmarks as BenchFlow benchmarks. Use when asked to port a benchmark, create a BenchFlow adapter, write or review benchmarks/<name>/benchflow.py, run parity, route a benchmark through L1/L2/L3, or decide whether a benchmark should run natively, be translated, or run as-is.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 286
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
- 96 / 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
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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