OpenAgentSkill
GitHub200+

Pre-install eval

master-mahasi-sayadaw 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
77
Audit
61
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

84

pass

Task wording matches this skill metadata.

  • Evaluate master-mahasi-sayadaw before installing it in an agent workflow
  • design-creative
  • Design and creative workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add xr843/Master-skill --skill master-mahasi-sayadaw

Install command safety

92

pass

standard package or runtime install path

  • npx skills add xr843/Master-skill --skill master-mahasi-sayadaw

Trust score

71

warn

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

  • Manual review
  • 382 GitHub stars
  • MIT

Audit score

77

warn

Needs review

  • The skill depends on an external API (fojin.app) for live retrieval, which could introduce availability or data integrity risks, though the skill correctly treats returned data as untrusted.

Agent safety gate

61

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 depends on an external API (fojin.app) for live retrieval, which could introduce availability or data integrity risks, though the skill correctly treats returned data as untrusted.

License clarity

86

pass

MIT

  • MIT

Permission surface

86

pass

network or browser 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
  • The skill depends on an external API (fojin.app) for live retrieval, which could introduce availability or data integrity risks, though the skill correctly treats returned data as untrusted.
  • The skill is extremely detailed and complex, which might make it harder for agents to parse and follow all guardrails consistently.
  • Quality score needs review
  • Production credentials, payments, or irreversible account changes without explicit human 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.