OpenAgentSkill
GitHub200+

Pre-install eval

ada-ai-service-layer 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.

FailedHigh riskBLOCK Policy
63
Eval report
65
Trust
70
Audit
54
Agent safety

do not auto install

Install path: No install command or repository handoff is available.

Required gates

Checks an agent must pass before install

Open JSON

Task fit

84

pass

Task wording matches this skill metadata.

  • Evaluate ada-ai-service-layer before installing it in an agent workflow
  • automation
  • automation workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

20

fail

No install command or repository handoff is available.

Install command safety

92

pass

standard package or runtime install path

Trust score

65

warn

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

  • Manual review
  • 4 GitHub stars
  • MIT

Audit score

70

warn

Needs review

  • SKILL.md lacks an explicit setup/prerequisites section describing how to connect and authenticate to the AI-HIVE MCP service, what environment variables are needed, and which permissions the agent should have.

Agent safety gate

54

warn

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

  • The tracked source changed or could not be synchronized. Review the current source before installing.

License clarity

86

pass

MIT

  • MIT

Permission surface

88

pass

database access

  • Network 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
  • Low GitHub adoption signal
  • SKILL.md lacks an explicit setup/prerequisites section describing how to connect and authenticate to the AI-HIVE MCP service, what environment variables are needed, and which permissions the agent should have.
  • The tracked source changed or could not be synchronized. Review the current source before installing.
  • Prohibited actions are clearly listed, but the skill could more explicitly enumerate forbidden MCP tools rather than relying only on the generic tools/list discovery and business contract.

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.