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fraud-risk-assessment Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/fraud-risk-assessment/Audit

Skill audit report

fraud-risk-assessment Audit report.

舞弊风险评估：舞弊三角理论、红旗信号、反舞弊控制，ACFE舞弊树及常见舞弊类型

REVIEWED · REVIEWNeeds reviewGenerated Sep 8, 2026Heuristic metadata audit

80

Audit

76

Trust

63

Quality

87

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

76

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Gallery New submissions Agent Skills

More links

What Is an Agent Skill?AI Agent Skills Tasks Packs Best Skills New & Trending Workflow Recipes Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings

More links

Outcome Loop Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About Contact API

More links

llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

Privacy ContactBuilt for agent-native discovery

Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

37 GitHub stars

Stars/forks activity

WARN

43

37 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

12d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

60

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add guoliang1114-boop/AriaAI --skill fraud-risk-assessment

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/fraud-risk-assessment

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 10 Needs review

Install path

92

PASS

npx skills add guoliang1114-boop/AriaAI --skill fraud-risk-assessment

Repository

88

PASS

https://github.com/guoliang1114-boop/AriaAI/tree/main/skills/fraud-risk-assessment

License

86

PASS

MIT

Maintenance

100

PASS

12d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

43

FIX

37 stars, 2 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

37 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
GitHub adoption: 37 GitHub stars
Stars/forks activity: 37 stars, 2 forks; issue activity unavailable in current metadata
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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.

Install path

Review the report before installing into production agents.

$ npx skills add guoliang1114-boop/AriaAI --skill fraud-risk-assessment

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 80/100
Quality: 63/100
Trust: 76/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 12d since push
Events: 5 events
GitHub stars: 37
Last push: Aug 27, 2026

Agent safety v2

64/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Financial research output is not financial advice; require human review before any live investment decision
64/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Financial research output is not financial advice; require human review before any live investment decision

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