OpenAgentSkill
GitHub200+

Pre-install eval

nature-paper-card 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
81
Eval report
79
Trust
85
Audit
65
Agent safety

manual review

Require human approval before installing into a real workspace.

Required gates

Checks an agent must pass before install

Open JSON

Task fit

94

pass

Task wording matches this skill metadata.

  • Evaluate nature-paper-card before installing it in an agent workflow
  • security
  • Research agents workflows; Claude Code teams; teams that value GitHub adoption signals

Install path

92

pass

Install handoff is available.

  • npx skills add Yuan1z0825/nature-skills --skill nature-paper-card

Install command safety

92

pass

standard package or runtime install path

  • npx skills add Yuan1z0825/nature-skills --skill nature-paper-card

Trust score

79

warn

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

  • Strong shortlist
  • 39K GitHub stars
  • Apache-2.0

Audit score

85

pass

Safe to try

  • The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.

Agent safety gate

65

warn

Usable candidate, but the agent should surface permission and audit notes before installation.

  • Require human approval before installing into a real workspace.
  • The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.

License clarity

86

pass

Apache-2.0

  • Apache-2.0

Permission surface

74

warn

filesystem or document access, database access

  • Network access: medium
  • Filesystem access: medium
  • Database access: medium

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
  • The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.
  • The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment.
  • Production credentials, payments, or irreversible account changes without explicit human review
  • Sensitive private data before reviewing repository code, license, and permission surface

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

pass

86

Metadata includes enough usage and workflow context

Recent maintenance

pass

88

2mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.