output-eval-error-analysis
output-eval-error-analysis is an LLM evaluation & observability skill for AI agents, published by growthxai in the output repository on GitHub. Skillspace rates output-eval-error-analysis D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Systematically review workflow traces to identify failure modes before building evaluators. Use when starting an eval project, after significant pipeline changes, or when production quality drops.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 426
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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