Pre-install eval

cost-optimization-auditor 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
68
Eval report
67
Trust
75
Audit
59
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 cost-optimization-auditor before installing it in an agent workflow
  • security
  • Browser automation workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add codebygarv/Ai-skills --skill cost-optimization-auditor

Install command safety

92

pass

standard package or runtime install path

  • npx skills add codebygarv/Ai-skills --skill cost-optimization-auditor

Trust score

67

warn

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

  • Manual review
  • 21 GitHub stars
  • MIT

Audit score

75

warn

Needs review

  • SKILL.md does not explicitly state that the skill only performs analysis and does not execute any commands or modify infrastructure, which could be clarified for safety.

Agent safety gate

59

warn

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

  • Require human approval before installing into a real workspace.
  • SKILL.md does not explicitly state that the skill only performs analysis and does not execute any commands or modify infrastructure, which could be clarified for safety.

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 does not explicitly state that the skill only performs analysis and does not execute any commands or modify infrastructure, which could be clarified for safety.
  • The skill lacks a 'Limitations' section to define boundaries (e.g., it does not handle on-premises or multi-cloud cost allocation).
  • 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

100

2d since push

Alternatives available

pass

82

Alternative skills are available for comparison.