eval-analysis
eval-analysis is an LLM evaluation & observability skill for AI agents, published by eforge-build in the eforge repository on GitHub. Skillspace rates eval-analysis F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Analyze eval results to understand signal quality and guide prompt/config changes. Use when the user says "eval-analysis", "analyze eval results", "what do the evals show", "eval regression", or asks about eval signal enrichment.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 69
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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.