eval-design Eval report.

Task wording matches this skill metadata.

• Evaluate eval-design before installing it in an agent workflow
• research
• Research agents workflows; Claude Code teams; teams that value GitHub adoption signals

Install handoff is available.

• npx skills add agentscope-ai/OpenJudge --skill eval-design

dynamic command execution, standard package or runtime install path

• npx skills add agentscope-ai/OpenJudge --skill eval-design

Good trust signals with a few areas worth checking before rollout.

• Strong shortlist
• 816 GitHub stars
• Apache-2.0

Needs review

• Minor inconsistency: SKILL.md states a 60/30/10 difficulty split, but the bundled coverage_check.py uses EXPECTED_STRATA = {'easy': 0.55, 'boundary': 0.30, 'adversarial': 0.10}. This could confuse users relying on the documented split.

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

• Test manually in an isolated workspace and compare against safer alternatives.
• High-risk permission hints: Shell or command execution

Apache-2.0

• Apache-2.0

shell or command execution, filesystem or document access

• Shell or command execution: high
• Network access: medium
• Filesystem access: medium