📄 skillActivePromisinghigh

MathModelAgent

by jihe520

🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模,生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.

Supported Platforms

🤖 Claude Code🖱️ Cursor

Stars

2.3k

Skill Type

🏗️ Code Scaffolding & Templates

Quality Score

92/200

License

Unknown

Forks

274

Last Updated

Jun 11, 2026

Discovered

Apr 21, 2026

Validation

Passed

github.com/jihe520/MathModelAgent

Quality Breakdown

92/ 200

Content Signals

Gotchas/Edge Cases+40
Progressive Disclosure+30
Trigger Description+20
Verification/Safety+20
Code Examples+15
Composability+15

Repo Health

Recent Activity+15
Scripts/Automation+10
Real Usage (Issues)+10
Single Responsibility+10
Config/Persistence+10
Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

high

Broad system access required. Carefully review permissions before installing.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Multi-agent spawning capability: Repository contains multiple autonomous agents (coder_agent, modeler_agent, writer_agent, coordinator_agent) that operate without explicit human approval gates
  • Code execution capability: Contains code interpreter tools (local_interpreter, e2b_interpreter) that execute arbitrary Python code autonomously
  • Persistent configuration modification: .cursor/mcp.json and CLAUDE.md indicate Cursor-specific configuration and memory persistence
  • Autonomous workflow orchestration: workflow.py and flows.py implement autonomous multi-agent orchestration with no apparent human-in-loop approval mechanisms
  • External code execution: E2B cloud interpreter integration enables remote code execution on external infrastructure
  • Unrestricted code generation: coder_agent.py generates and executes code automatically based on LLM output without validation