No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mc3545dada · Agent Tool · ★ 366
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mspm0-skill safe to install? View the security audit →
MSPM0 Skill 让 AI Agent 真正参与 MSPM0 的 SysConfig 配置、工程构建、烧录与调试。 快速安装 · 快速使用 · 亮点 · 实战展示 · 内置例程 面向MSPM0 开发与电赛备赛，适用于 Claude Code、Codex、OpenCode、OpenClaw、Continue、Cursor 等 CLI / 编辑器 Agent。这是一组经过真实项目验证的规则、脚本、例程和调试 Skill。 [!IMPORTANT] 已在 立创天猛星 MSPM0G3507 + CCS Theia / CLion + J-Link / DAPLink 环境中完成真实板级验证。Agent 能直接修改 、调用现有工具链构建，并根据探针选择 DSLite、CCS-DSS 或 OpenOCD 路径。 核心亮点 支持 CCS-DSS 与 OpenOCD/GDB 两条调试链路，辅助断点、寄存器、符
| Stars | 366 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.2263859096611/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-28 |
| Created | 2026-05-11 |
| Platforms | python |
| Est. Tokens | ~15k |
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mspm0-skill is 面向电赛的 MSPM0 + SysConfig Agent Skill. It is categorized as a Agent Tool with 366 GitHub stars.
mspm0-skill is primarily written in Python. It covers topics such as ai, embedded, mspm0.
You can find installation instructions and usage details in the mspm0-skill GitHub repository at github.com/mc3545dada/mspm0-skill. The project has 366 stars and 20 forks, indicating an active community.
mspm0-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mspm0-skill on Agent Skills Hub include rulesync, n8n-claw, open-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: