system-diag
system-diag is an Observability & incident response skill for AI agents, published by DotNetAge in the mindx repository on GitHub. Skillspace rates system-diag D (66/100) and it passed the safety scan; the rating is based on static analysis only.
通过分析运行时日志、资源指标和守护进程状态诊断 MindX 系统健康， 输出包含根因识别和修复建议的结构化诊断报告。当用户报告系统问题、 守护进程崩溃、性能下降或请求主动健康检查时使用。 作为 `mindx doctor`（静态检查）的补充，提供 AI 驱动的日志分析和 跨组件关联分析。
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 32
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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