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在 OpenClaw 中安装
/install nm-cartograph-call-chain
功能描述
Trace execution paths from entry points through the code knowledge graph. Shows call chains with criticality scores and generates Mermaid flowcharts
安全使用建议
This skill is coherent for tracing call chains, but it will run local commands and read files in your repository and ~/.claude/plugins. Before using it, (1) confirm you trust the gauntlet plugin if present (review graph_query.py), (2) be aware the fallback uses ripgrep/grep to scan source files (may reveal secrets if present in code), and (3) prefer running the suggested commands manually first to verify outputs. If you have sensitive files in your repo or plugin folder, review them or run in a controlled environment.
功能分析
Type: OpenClaw Skill
Name: nm-cartograph-call-chain
Version: 1.0.0
The skill is a code analysis tool designed to trace function call chains and generate Mermaid diagrams. It utilizes standard command-line utilities like grep and ripgrep, or an optional local Python script from the gauntlet plugin to query a code knowledge graph. There are no indicators of data exfiltration, malicious execution, or prompt injection in SKILL.md or _meta.json.
能力标签
能力评估
Purpose & Capability
Name/description (trace call chains via a code knowledge graph and produce Mermaid diagrams) matches the instructions which call a local gauntlet graph_query script or fall back to grep/rg and manual tree construction. Requested items (graph_query in ~/.claude/plugins, python3, ripgrep/grep) are appropriate for that purpose.
Instruction Scope
Instructions run local commands (find, python3 on a plugin script, rg/grep across the repository) and read local files/graph.db. This is expected for static and graph-based code analysis, but it does mean the skill will inspect files under your home directory and your code tree. The skill does not instruct any network exfiltration or external posting.
Install Mechanism
There is no install spec (instruction-only), so nothing is automatically downloaded or written to disk by the skill itself. This minimizes install-time risk.
Credentials
The skill declares no environment variables, credentials, or config paths beyond referencing a local plugin path (~/.claude/plugins) and optional graph.db. Those are proportionate to analysing a local code knowledge graph.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent system privileges or modify other skills' configurations.
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-call-chain - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-cartograph-call-chain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 release of nm-cartograph-call-chain skill.
- Trace execution paths from entry points using a code knowledge graph.
- Supports both dynamic tracing (with gauntlet plugin) and static analysis (fallback).
- Displays results as indented call trees and Mermaid flowcharts.
- Calculates criticality scores based on flow factors (file spread, security, external calls, test gaps, depth).
- Includes options to show criticality breakdowns for easy risk analysis.
元数据
常见问题
Nm Cartograph Call Chain 是什么？
Trace execution paths from entry points through the code knowledge graph. Shows call chains with criticality scores and generates Mermaid flowcharts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 97 次。
如何安装 Nm Cartograph Call Chain？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-cartograph-call-chain」即可一键安装，无需额外配置。
Nm Cartograph Call Chain 是免费的吗？
是的，Nm Cartograph Call Chain 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Cartograph Call Chain 支持哪些平台？
Nm Cartograph Call Chain 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 Call Chain？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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