OpenAgentSkill
GitHub200+

Pre-install eval

debug-agent-from-traces Eval report.

A machine-readable install decision for agents: task fit, Trust Score, Audit Score, install safety, permission surface, and a concrete validation plan before this skill touches a workspace.

Needs reviewMedium riskREVIEW Policy
65
Eval report
72
Trust
72
Audit
48
Agent safety

manual review

Test manually in an isolated workspace and compare against safer alternatives.

Required gates

Checks an agent must pass before install

Open JSON

Task fit

94

pass

Task wording matches this skill metadata.

  • Evaluate debug-agent-from-traces before installing it in an agent workflow
  • coding-agents
  • Coding agents workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add ContextJet-ai/awesome-llm-observability --skill debug-agent-from-traces

Install command safety

92

pass

standard package or runtime install path

  • npx skills add ContextJet-ai/awesome-llm-observability --skill debug-agent-from-traces

Trust score

72

warn

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

  • Strong shortlist
  • 33 GitHub stars
  • CC0-1.0

Audit score

72

warn

Needs review

  • Low GitHub adoption signal

Agent safety gate

48

warn

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: Secrets or environment access

License clarity

86

pass

CC0-1.0

  • CC0-1.0

Permission surface

74

warn

secrets or environment access

  • Network access: medium
  • Secrets or environment access: high

Validation plan

What the agent should do next

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when

Conditions that require another skill

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Secrets or environment access
  • AI review approval is missing

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

warn

76

Public metadata needs stronger README/SKILL.md context

Recent maintenance

pass

88

1mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.