Skill audit report
基于Sorftime MCP的选品分析，发现高潜力市场机会、多维度属性标注与交叉分析、验证竞争格局、测算投入产出、输出Go/No-Go决策与选品报告。 使用时机：选品立项前的市场调研。新品上架工作流第一步。 触发词：/zach-product-research
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
175 GitHub stars
Stars/forks activity
WARN57
175 stars, 36 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add zach22-1999/amazon-skills --skill zach-product-research
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/zach22-1999/amazon-skills/tree/main/skills/zach-product-research
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zach22-1999/amazon-skills --skill zach-product-research
Repository
88
https://github.com/zach22-1999/amazon-skills/tree/main/skills/zach-product-research
License
86
MIT
Maintenance
88
1mo since push
AI review
55
The skill relies on external Sorftime MCP tools which must be configured and available; this dependency is not a security risk but may affect usability in environments without the MCP server.
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
57
175 stars, 36 forks; issue activity unavailable in current metadata
Adoption
68
175 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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