MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
分析用户给出的本地日志目录或日志文件路径，结合 MAAPunish（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…
MITAuto-check passed
Install Maa Punish Log Analysis
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .claude/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .claude/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .agents/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .agents/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .cursor/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .cursor/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/overflow65537/MAA_Punish.git --path .cursor/skills/maa-punish-log-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .gemini/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .gemini/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .github/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .github/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install overflow65537/MAA_Punish maa-punish-log-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overflow65537/MAA_Punish.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/maa-punish-log-analysis .opencode/skills/maa-punish-log-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "maa-punish-log-analysis" agent skill from https://github.com/overflow65537/MAA_Punish/tree/main/.cursor/skills/maa-punish-log-analysis into .opencode/skills/maa-punish-log-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "maa-punish-log-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
maa-punish-log-analysis- GitHub stars
- 371
- Token cost
- ~606 tokens
- SKILL.md length
- 112 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
分析用户给出的本地日志目录或日志文件路径，结合 MAAPunish（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…
- Works in 5 steps: 解析路径 → 建立时间线 → 关联代码与资源 → …
- SKILL.md covers 适用范围, 标准日志文件（按优先级阅读）, 工作流 and 根因与输出, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Maa Punish Log Analysis is an agent skill from overflow65537/MAA_Punish. 分析用户给出的本地日志目录或日志文件路径，结合 MAAPunish（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。
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The repository describes itself as: 战双帕弥什每日任务自动化 | Assistant For Punishing Gray Raven. The licence is MIT.
Example prompts
- “/maa-punish-log-analysis”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 解析路径
- 建立时间线
- 关联代码与资源
- 过滤证据
- 可选材料
What it can do on your machine
Read from SKILL.md and the folder at commit 7435a3d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Maa Punish Log Analysis loads about 606 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 112 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from overflow65537/MAA_Punish at commit 7435a3d, republished under its MIT licence (© overflow65537). 112 words, ~606 tokens.
Download SKILL.mdSave it as
.claude/skills/maa-punish-log-analysis/SKILL.md (or your agent's skills folder).- name
- maa-punish-log-analysis
- description
- 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。
MAA_Punish 本地日志分析
适用范围
- 仓库：
MAA_Punish（战双帕弥什小助手，Python 自定义 + MaaFramework）。 - 输入：用户提供的目录路径（推荐）或具体
.log文件路径。不处理 GitHub issue 附件 zip、不假设必须先解压压缩包。 - 若用户只给目录，在该目录下按下方 Log Map 查找标准文件名；若路径不存在或缺少关键文件，先列出目录再说明缺什么证据。
标准日志文件（按优先级阅读）
| 文件 | 含义 |
|---|---|
gui.log | MFW-cfa 图形界面侧日志：配置加载、任务发起、界面与编排相关线索。 |
custom.log | Python 自定义（assets/agent）侧日志：自定义识别/动作的打印与异常。 |
maa.log | MaaFramework 核心运行时（仓库 README 反馈问题时常用 debug/maa.log）：Pipeline 节点、识别、动作、控制器、task_id 等。 |
说明：agent/logger_component.py 默认可能写入 debug/custom_YYYYMMDD.log；若用户统一导出为 custom.log，以用户约定为准，并在分析时兼容两种命名。
工作流
解析路径
- 若是目录：列出该目录下与日志相关的文件（
*.log、on_error/、config/等），不要假定除gui.log/custom.log/maa.log以外还有固定结构。 - 若是单个文件：先判断属于上表哪一类；必要时请用户补全同目录下其它日志。
- 若是目录：列出该目录下与日志相关的文件（
建立时间线
- 从用户描述中取出：版本、平台、控制器类型、任务名、现象与时间锚点。
- 在
gui.log中查找任务提交、实例/界面侧关键事件（措辞以实际文件为准）。 - 在
maa.log中用task_id、Tasker.Task、Node.等串起同一次运行。 - 在
custom.log中查找同一时段的 Python 扩展输出。
关联代码与资源
- 任务入口与选项：
assets/interface.json、assets/tasks/*.json。 - Pipeline 节点：
assets/resource/**/pipeline/**/*.jsonc（含base、zh_TW等变体）。 - 自定义逻辑：
agent/**/*.py。 - Pipeline 协议与术语不确定时：本仓库
protocol-3.1-task-pipeline.md、上游 PipelineProtocol。
- 任务入口与选项：
过滤证据
- 高价值关键词示例：
Tasker.Task.Starting/Succeeded/Failed，Node.Recognition.Failed，Node.Action.Failed，timeout，Warn/Error/Fatal，post_task，task_id。 - 只引用支撑结论的片段，勿全文粘贴大日志。
- 高价值关键词示例：
可选材料
on_error/下的截图：用于核对实际画面与识别是否一致。- 用户目录下的配置快照（若存在）：核对选项是否与口述一致。
根因与输出
- 先区分：框架层（
maa.log）、界面层（gui.log）、自定义扩展（custom.log）哪一层最先出现异常或矛盾。 - 若日志显示任务成功但用户描述失败，明确写出「该份日志是否覆盖复现场景」。
- 结论需有日志摘录或节点名/Pipeline 路径级依据；需要改 Pipeline 时指向具体
jsonc节点名。
建议的回答结构
## 现象与范围
## 日志证据（gui / custom / maa）
## 时间线与 task 关联（若有）
## 根因判断
## 建议（配置 / 资源 / 代码 / 升级）
## 置信度与缺失证据注意事项
- 默认不分析
.dmp；若用户附带崩溃转储，说明需要专用符号化环境再判断。 - 用户任务名、选项名若要友好展示，可在
assets内查找与interface.json/任务 JSON 对应的文案；找不到再写原始 id。 - 引用本仓库代码时使用仓库内路径；引用 MaaFramework 行为可指向上游文档链接。
© overflow65537, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .cursor/skills/maa-punish-log-analysis of overflow65537/MAA_Punish.
Open the folder on GitHubat commit 7435a3d
Compare with similar skills
Maa Punish Log Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Maa Punish Log Analysis this skilloverflow65537/MAA_Punish | 371 | — | ~606 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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Generate precise git commit messages for this repository from staged or working tree diffs.
Maa Punish Pipeline Guide
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MAAPunish 任务流水线 JSON/JSONC 编写与审查指南。含 Pipeline 速查表（识别类型、动作类型、节点字段默认值、JumpBack/Anchor、Custom）。基于 MaaFramework 协议与本仓库 protocol-3.1-task-pipeline.md。在编写或审查 pipeline、排查超时/onerror、或使用…
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Questions about Maa Punish Log Analysis
What does Maa Punish Log Analysis do?
分析用户给出的本地日志目录或日志文件路径，结合 MAAPunish（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…. Maa Punish Log Analysis is an agent skill from overflow65537/MAA_Punish.
How do I install Maa Punish Log Analysis in Claude Code?
Run `npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a claude-code`. Or copy the skill folder (.cursor/skills/maa-punish-log-analysis in overflow65537/MAA_Punish) into .claude/skills/maa-punish-log-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Maa Punish Log Analysis in Codex?
Run `npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a codex`. Or copy the skill folder (.cursor/skills/maa-punish-log-analysis in overflow65537/MAA_Punish) into .agents/skills/maa-punish-log-analysis in your project. Codex loads it when a task matches its description.
Can I use Maa Punish Log Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add overflow65537/MAA_Punish --skill maa-punish-log-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/maa-punish-log-analysis, .gemini/skills/maa-punish-log-analysis, .github/skills/maa-punish-log-analysis and .opencode/skills/maa-punish-log-analysis in your project.
What does Maa Punish Log Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Maa Punish Log Analysis is instructions for the agent only. Our summary lists: Python 3.
Does Maa Punish Log Analysis access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Maa Punish Log Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Maa Punish Log Analysis use?
Maa Punish Log Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Maa Punish Log Analysis use?
About 606 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Maa Punish Log Analysis?
Skills that share tags, products or a category with Maa Punish Log Analysis: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Maa Punish Log Analysis?
overflow65537 (a GitHub user) maintains it in overflow65537/MAA_Punish, which has 371 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 10, 2026.
Source: overflow65537/MAA_Punish on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.