Pre-install eval

az-eu-website-privacy-audit 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
73
Eval report
74
Trust
79
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 az-eu-website-privacy-audit before installing it in an agent workflow
  • security
  • Legal and compliance workflows; Claude Code teams; teams that value GitHub adoption signals

Install path

92

pass

Install handoff is available.

  • npx skills add lawve-ai/awesome-legal-skills --skill az-eu-website-privacy-audit

Install command safety

92

pass

standard package or runtime install path

  • npx skills add lawve-ai/awesome-legal-skills --skill az-eu-website-privacy-audit

Trust score

74

warn

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

  • Strong shortlist
  • 679 GitHub stars
  • CC BY 4.0

Audit score

79

warn

Needs review

  • The skill processes user-provided URLs and pasted website content, but SKILL.md does not explicitly instruct the model to treat website content as untrusted data and ignore any instructions embedded in it, which is a prompt-injection consideration.

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.
  • The skill processes user-provided URLs and pasted website content, but SKILL.md does not explicitly instruct the model to treat website content as untrusted data and ignore any instructions embedded in it, which is a prompt-injection consideration.

License clarity

86

pass

CC BY 4.0

  • CC BY 4.0

Permission surface

72

warn

filesystem or document access, network or browser access

  • Browser automation: medium
  • 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 processes user-provided URLs and pasted website content, but SKILL.md does not explicitly instruct the model to treat website content as untrusted data and ignore any instructions embedded in it, which is a prompt-injection consideration.
  • The report template and references are detailed, but SKILL.md does not include a fallback procedure if the submitted URL is unreachable, requires authentication, or contains dynamic content that cannot be fully audited.
  • 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

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.