analytics-attribution Eval
==========================

Status: review
Score: 71/100
Risk: medium
Decision: manual_review
Policy: review
Reason: Test manually in an isolated workspace and compare against safer alternatives.

Install:
npx skills add aitytech/agentkits-marketing --skill analytics-attribution

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: MIT
- WARN Permission surface: secrets or environment access, database access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- Permission surface: secrets or environment access, database access
- High-risk permission hints: Secrets or environment access
- SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
- No limitations section documents edge cases, data quality caveats, or situations where the skill should not be used.
- The success metrics are named but not defined with concrete measurement criteria.
- Quality score needs review

Validation plan:
1. Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. Install in an isolated workspace or sandbox with no production secrets available.
3. Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. Compare the selected skill against at least one alternative when the eval status is review or failed.
5. Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Secrets or environment access
- No limitations section documents edge cases, data quality caveats, or situations where the skill should not be used.
- The success metrics are named but not defined with concrete measurement criteria.
- Quality score needs review

URLs:
- Skill: https://www.openagentskill.com/skills/aitytech-analytics-attribution
- Audit: https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=aitytech-analytics-attribution