Skill audit report
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
OpenAgentSkill Trust Score
Skill audit report
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
OpenAgentSkill Trust Score
Skill audit report
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
OpenAgentSkill Trust Score
Skill audit report
Get China customs import/export monthly data (海关进出口 月度). Use when user asks about 海关进出口, 出口, 进口, 进出口, 外贸, 中国出口进口, China customs trade.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
60 GitHub stars
Stars/forks activity
WARN48
60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
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/economic-china-customs-trade-monthly
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 economic-china-customs-trade-monthly
Repository
88
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly
License
86
MIT
Maintenance
100
11d since push
AI review
55
The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
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
60 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
60 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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The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
60 GitHub stars
Stars/forks activity
WARN48
60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
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/economic-china-customs-trade-monthly
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 economic-china-customs-trade-monthly
Repository
88
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly
License
86
MIT
Maintenance
100
11d since push
AI review
55
The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
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
60 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
60 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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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
60 GitHub stars
Stars/forks activity
WARN48
60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
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/economic-china-customs-trade-monthly
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 economic-china-customs-trade-monthly
Repository
88
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly
License
86
MIT
Maintenance
100
11d since push
AI review
55
The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
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
60 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
60 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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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
60 GitHub stars
Stars/forks activity
WARN48
60 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 FTShare-Lab/FTShare-skill --skill economic-china-customs-trade-monthly
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/economic-china-customs-trade-monthly
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 economic-china-customs-trade-monthly
Repository
88
https://github.com/FTShare-Lab/FTShare-skill/tree/main/ftshare-market-data/sub-skills/economic-china-customs-trade-monthly
License
86
MIT
Maintenance
100
11d since push
AI review
55
The handler.py only catches HTTPError; URLError (e.g., connection refused, timeout) is not handled, which could cause an ungraceful crash.
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
60 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
60 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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67K Stars · Audit report
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113K Stars · Audit report
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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