data-analyst Eval
=================

Status: failed
Score: 67/100
Risk: high
Decision: do_not_auto_install
Policy: block
Reason: Permission surface: shell or command execution, filesystem or document access

Install:
npx skills add szsip239/teamclaw --skill data-analyst

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
- FAIL Permission surface: shell or command execution, filesystem or document 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.
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
- The skill does not include explicit security guidance or warnings about destructive SQL operations (e.g., DROP, DELETE) or data exfiltration risks.
- The SKILL.md references a TOOLS.md file for configuration, but that file is not included in the skill package, which may cause setup confusion.
- The provided excerpt of SKILL.md is truncated at 'CSV/' and does not show the full spreadsheet analysis section, though the overall structure appears complete.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 112 stars, 16 forks; issue activity unavailable in current metadata

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
- The skill does not include explicit security guidance or warnings about destructive SQL operations (e.g., DROP, DELETE) or data exfiltration risks.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
- The SKILL.md references a TOOLS.md file for configuration, but that file is not included in the skill package, which may cause setup confusion.
- The provided excerpt of SKILL.md is truncated at 'CSV/' and does not show the full spreadsheet analysis section, though the overall structure appears complete.

URLs:
- Skill: https://www.openagentskill.com/skills/szsip239-data-analyst
- Audit: https://www.openagentskill.com/skills/szsip239-data-analyst/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=szsip239-data-analyst