model-evaluation-framework

model-evaluation-framework is a Model training & evaluation skill for AI agents, published by ilyasibrahim in the claude-agents-coordination repository on GitHub. Skillspace rates model-evaluation-framework D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Model evaluation metrics, testing protocols, and performance assessment for Somali dialect classification. Covers accuracy, F1-score, confusion matrix analysis, per-dialect performance, and evaluation best practices for multi-class classification tasks.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
80

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
93 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Unlicense
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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