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在 OpenClaw 中安装
/install nm-cartograph-code-communities
功能描述
Detect architectural clusters in the codebase using community detection on the code knowledge graph. Shows module boundaries, cohesion, and coupling warnings
安全使用建议
This skill is internally coherent and does what it says: detect communities using a graph tool or, if absent, by scanning directories and imports. Before running it, decide whether you trust the local 'gauntlet' plugin it may invoke — that will execute code on your machine. If you prefer safety, run the fallback file-scanning commands manually in a controlled environment or review the gauntlet plugin's graph_query.py source first. Also be aware the fallback will read repository files (which could include sensitive data) when computing coupling/cohesion.
能力评估
Purpose & Capability
Name/description match the instructions: the skill runs a community-detection action via a graph-query tool when available and otherwise analyzes directory structure and imports. The declared requirements (none) are proportional to an instruction-only skill that leverages other local tooling.
Instruction Scope
Instructions are focused on code-graph community detection and provide a clear fallback that scans repo files and imports. One important note: the preferred path runs an external script found at ~/.claude/plugins/.../gauntlet/graph_query.py (python3 "$GRAPH_QUERY" --action communities). Invoking that script will execute code from the gauntlet plugin (not provided by this skill) so you should only run it if you trust that plugin. The fallback commands (find, rg/grep, sed, xargs) will traverse and read repository files, which is expected but may surface sensitive files if present.
Install Mechanism
There is no install spec and no downloads. This is instruction-only, so nothing gets written or installed by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. All referenced paths are local discovery of an optional plugin and repository file scanning, which are proportionate to its purpose.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent presence or modify agent/system settings. Autonomous invocation is allowed by platform default but not elevated by this skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install nm-cartograph-code-communities - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-cartograph-code-communities触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial public release of code-communities skill.
- Detects architectural clusters and module boundaries in codebases using community detection algorithms.
- Provides module cohesion and coupling analysis, with warnings for high coupling.
- Supports both graph-based (with gauntlet plugin) and directory-based analysis (as fallback).
- Generates visualizations in Mermaid flowcharts.
- Offers improvement suggestions based on cohesion and coupling metrics.
元数据
常见问题
Nm Cartograph Code Communities 是什么？
Detect architectural clusters in the codebase using community detection on the code knowledge graph. Shows module boundaries, cohesion, and coupling warnings. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 94 次。
如何安装 Nm Cartograph Code Communities？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-cartograph-code-communities」即可一键安装，无需额外配置。
Nm Cartograph Code Communities 是免费的吗？
是的，Nm Cartograph Code Communities 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Cartograph Code Communities 支持哪些平台？
Nm Cartograph Code Communities 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Nm Cartograph Code Communities？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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