analyze-id-eval-ranking
analyze-id-eval-ranking is an LLM evaluation & observability skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates analyze-id-eval-ranking D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Given a list of models (HF name stubs) that have valid agentic ID eval scores in Supabase, build a ranking table: raw per-benchmark accuracy on the 3 ID benchmarks (SWE-Bench-100, OT-TBLite=dev_set_v2, Terminal-Bench-2.0=tb2), HF links to each eval's trace dataset, and a NORMALIZED column = average per-benchmark z-score, ranked. Normalization matches the OpenThoughts-Agent paper (otagent-paper/02_arXiv/otagent.tex §Pipeline): per-benchmark z over the candidate set, averaged. Read-only. Use when asked to rank models / ablation arms by their ID evals the way the paper does.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- 84 / 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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