OpenAgentSkill
GitHub200+

Pre-install eval

libero-library-size-scaling 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
71
Eval report
71
Trust
76
Audit
60
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 libero-library-size-scaling before installing it in an agent workflow
  • automation
  • Browser automation workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add NVlabs/ASPIRE --skill libero-library-size-scaling

Install command safety

92

pass

standard package or runtime install path

  • npx skills add NVlabs/ASPIRE --skill libero-library-size-scaling

Trust score

71

warn

Potentially useful, but at least one trust signal needs human inspection.

  • Manual review
  • 128 GitHub stars
  • Apache-2.0

Audit score

76

warn

Needs review

  • The skill relies on external scripts and prompts (e.g., scripts/libero/make_snapshot_table.py) that are not included in the submitted skill directory, but they are part of the repository and referenced correctly.

Agent safety gate

60

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 relies on external scripts and prompts (e.g., scripts/libero/make_snapshot_table.py) that are not included in the submitted skill directory, but they are part of the repository and referenced correctly.

License clarity

86

pass

Apache-2.0

  • Apache-2.0

Permission surface

86

pass

filesystem or document access

  • Network access: medium
  • Filesystem 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 relies on external scripts and prompts (e.g., scripts/libero/make_snapshot_table.py) that are not included in the submitted skill directory, but they are part of the repository and referenced correctly.
  • No OpenAgentSkill engagement data yet
  • SKILL.md does not explicitly list prerequisites (e.g., hardware, GPU requirements, environment setup) beyond the INSTRUCTIONS.md reference, which may reduce clarity for new users.
  • Quality score needs review

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

2mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.