whiyh-gpt-hill-climb
whiyh-gpt-hill-climb is an LLM evaluation & observability skill for AI agents, published by wisdom-in-a-nutshell in the agents repository on GitHub. Skillspace rates whiyh-gpt-hill-climb D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Monitor, analyze, and improve the Who's In Your Head GPT/default game path. Use when Codex is asked to check recent games, misses, dropoffs, abandoned sessions, model latency, cache/token efficiency, model errors, share signals, or GPT model performance for this repo; when running a recurring telemetry automation/report; or when hill-climbing prompts, routing, mechanics, clients, telemetry, Mongo indexes, or tests to improve speed, completion rate, correct rate, and reported-miss rate.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.