eval-agents
eval-agents is an Agent, team & workflow authoring skill for AI agents, published by FlorianBruniaux in the claude-code-ultimate-guide repository on GitHub. Skillspace rates eval-agents D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Audit Claude Code agents defined in .claude/agents/ for description specificity, model tier appropriateness, tools scoping, and system prompt quality. Detects dispatch ambiguity between agents, flags over-permissive tool grants, and checks for human-in-the-loop patterns that break programmatic orchestration. Use when onboarding to a project with existing agents, after adding new agents to a fleet, or when an orchestrator consistently selects the wrong agent.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 5,458
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- CC-BY-SA-4.0
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Audits Claude Code agent definitions, a public product convention
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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