Skill audit report
查询集合竞价结果。接口：GET /api/v2/market/data/auction-results。所有请求必须设置 FTSHARE_API_KEY。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
63 GitHub stars
Stars/forks activity
WARN48
63 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
16d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN60
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 FTShare-Lab/FTShare-skill --skill auction-results
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/auction-results
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add FTShare-Lab/FTShare-skill --skill auction-results
Repository
88
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/auction-results
License
86
MIT
Maintenance
100
16d since push
AI review
55
SKILL.md is minimal and relies on an external doc for parameters and response details; if that doc is not included in the skill directory, usability suffers.
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
62
shell or command execution, network or browser access
Stars/forks activity
48
63 stars, 13 forks; issue activity unavailable in current metadata
Adoption
68
63 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.