mathmodel-weave
可独立运行的数学建模工作台, 同时提供skill流程和真实多agent运行时
No outside reports on file
mathmodel-weave is distributed via GitHub (SoFarSoGoodya/mathmodel-weave); review its source code, dependencies, and requested permissions before use.
Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (SoFarSoGoodya/mathmodel-weave)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/SoFarSoGoodya/mathmodel-weave ↗
About Mathmodel Weave
Mathmodel Weave is an agent skill focused on General: 可独立运行的数学建模工作台, 同时提供skill流程和真实多agent运行时.
It is hosted on GitHub at SoFarSoGoodya/mathmodel-weave (2 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.
Setup
These use the package this listing points to. Check the project’s own instructions before running anything.
No npm or PyPI package is listed for this agent skill. Source code and setup steps: github.com/SoFarSoGoodya/mathmodel-weave.
Why this grade
Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 2
- Listing last refreshed
- 2026-10-28
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Dependency & version pinning: Distributed via GitHub (SoFarSoGoodya/mathmodel-weave). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.
How to lower the risk
Least-privilege permissions
- Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
- Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.
Network isolation
- Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
- If your IT team can, limit which websites and services it is allowed to contact.
Monitoring
- Check its activity history or logs weekly at first, and look at what it changed or sent.
- Turn on alerts for new logins or unusual usage on any account it connects to.
Red flags to watch for
- It asks for more access than its job requires, or prompts you to paste passwords.
- It suddenly updates with new owners, or starts contacting unfamiliar websites.
Questions
How do I install Mathmodel Weave?
Mathmodel Weave does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/SoFarSoGoodya/mathmodel-weave.
Are there security reports about Mathmodel Weave?
No reports found for this package in our research (last checked 2026-10-29). Mathmodel Weave currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.
Is Mathmodel Weave actively maintained?
Mathmodel Weave has 2 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/SoFarSoGoodya/mathmodel-weave before pinning it in production.
What are alternatives to Mathmodel Weave?
Compare Mathmodel Weave side by side with similar skills in the Related tools section on this page, or browse all skills on AgentArmorHQ.
Key facts
- Type
- AI agent skill
- Publisher
- SoFarSoGoodya
- Source code
- github.com/SoFarSoGoodya/mathmodel-weave
- Est. context load
- ~50 tokens idle · ~750 tokens when active (on-demand skill)
- Popularity
- 2 GitHub stars
- Last updated
- 2026-10-28
- Last graded
- 2026-10-21
Community
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