Mathmodel Skill Audit Report | OpenAgentSkill | OpenAgentSkill

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Skill audit report

Mathmodel Skill audit report.

数学建模竞赛（CUMCM/MCM/电工杯）的Agent工作流，支持Claude Code和Codex CLI，提供10阶段流程、决策日志和可恢复协作。

REVIEWED · REVIEWSafe to tryGenerated Jul 25, 2026Heuristic metadata audit

90

Audit

82

Trust

95

Quality

84

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

82

Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

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

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Trust

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About OpenAgentSkill API llms.txt OpenAPI CLI Creator Kit X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

PrivacyBuilt for agent-native discovery

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

153 GitHub stars

Stars/forks activity

WARN

51

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

Recent maintenance

PASS

100

3d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add handsomeZR-netizen/mathmodel-skill

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

76

shell or command execution

Repository evidence

PASS

86

https://github.com/handsomeZR-netizen/mathmodel-skill

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 passed · 4 review

Install path

92

PASS

npx skills add handsomeZR-netizen/mathmodel-skill

Repository

88

PASS

https://github.com/handsomeZR-netizen/mathmodel-skill

License

86

PASS

MIT

Maintenance

100

PASS

3d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

76

CHECK

shell or command execution

Stars/forks activity

51

FIX

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

Adoption

68

INFO

153 GitHub stars

Warnings

Stars/forks activity: 153 stars, 2 forks; issue activity unavailable in current metadata

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 handsomeZR-netizen/mathmodel-skill

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: Python + Codex
Alternatives: 3

Open agent JSON

Signals

Audit score: 90/100
Quality: 95/100
Trust: 82/100
Install safety: 92/100
Permission surface: 76/100
Maintenance: 3d since push
Events: 1 events
GitHub stars: 153
Last push: Jul 22, 2026

Agent safety v2

66/100 · 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.

High-risk permission hints: Shell or command execution
66/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

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

High-risk permission hints: Shell or command execution
Stars/forks activity: 153 stars, 2 forks; issue activity unavailable in current metadata

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