wjs-cleaning-spam Eval ====================== Status: failed Score: 60/100 Risk: high Decision: do_not_auto_install Policy: block Reason: Agent safety gate: This skill should not be selected by an agent without explicit human security review. Install: npx skills add jianshuo/claude-skills --skill wjs-cleaning-spam 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 - FAIL Agent safety gate: This skill should not be selected by an agent without explicit human security review. - PASS License clarity: MIT - FAIL Permission surface: secrets or environment access, shell or command execution Warnings: - Trust score: Potentially useful, but at least one trust signal needs human inspection. - Audit score: Needs review - README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context - High-risk permission hints: Shell or command execution, Secrets or environment access - Dependency or permission surface needs review - Permission surface may require sandboxing - The skill is tightly coupled to a specific user (@jianshuo) and a specific spam pattern, which limits general reuse. - The script imports `unicodedata` but does not appear to use it (minor code cleanliness). - The SKILL.md references `~/.claude/skills/wjs-cleaning-spam/scripts/clean_spam.py` as a hardcoded path; this may break if the skill is installed elsewhere. - Quality score needs review - Permission surface needs review: secrets or environment access, shell or command execution - Stars/forks activity: 129 stars, 20 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 is tightly coupled to a specific user (@jianshuo) and a specific spam pattern, which limits general reuse. - High-risk permission hints: Shell or command execution, Secrets or environment access - Dependency or permission surface needs review - Permission surface may require sandboxing - The script imports `unicodedata` but does not appear to use it (minor code cleanliness). - The SKILL.md references `~/.claude/skills/wjs-cleaning-spam/scripts/clean_spam.py` as a hardcoded path; this may break if the skill is installed elsewhere. URLs: - Skill: https://www.openagentskill.com/skills/jianshuo-wjs-cleaning-spam - Audit: https://www.openagentskill.com/skills/jianshuo-wjs-cleaning-spam/audit - JSON: https://www.openagentskill.com/api/agent/evals?slug=jianshuo-wjs-cleaning-spam