maa-punish-log-analysis

maa-punish-log-analysis is a Runtime diagnostics & profiling skill for AI agents, published by overflow65537 in the MAA_Punish repository on GitHub. Skillspace rates maa-punish-log-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.

分析用户给出的本地日志目录或日志文件路径,结合 MAA_Punish(MaaFramework + Python 自定义 + MFW-cfa)仓库定位任务卡死、识别失败、Pipeline 与自定义逻辑问题。主日志为 gui.log(cfa 图形界面)、custom.log(Python/agent 自定义)、debug/maa.log(框架运行时)。不下载或解压 zip;在用户给出日志路径、贴日志片段、反馈 bug、排查识别或流水线问题时使用。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
322

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
94 / 100
Maturity
Basic: a single SKILL.md
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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