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在 OpenClaw 中安装
/install nm-gauntlet-extract
功能描述
Analyze a codebase and build a knowledge base of business logic, architecture, data flow, and engineering patterns. The foundation for gauntlet challenges an...
安全使用建议
This skill is instruction-only and appears to do what it says (scan a repo and build .gauntlet/knowledge.json), but check two things before installing or running it: (1) ensure CLAUDE_PLUGIN_ROOT is set to a safe path you control (the SKILL.md references ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py but the skill did not declare that env var), and (2) ensure python3 and the extractor script actually exist and are trustworthy. Because the instructions operate on the current working directory, run it on a copy or in an isolated environment if you have sensitive files in the repo. If possible, open and review scripts/extractor.py in the referenced plugin repo to confirm what it reads/transmits before giving it access to your codebase.
功能分析
Type: OpenClaw Skill
Name: nm-gauntlet-extract
Version: 1.0.0
The skill bundle defines a legitimate workflow for codebase analysis and knowledge base generation. It instructs the agent to run a local Python script (extractor.py) to perform AST extraction and then enrich the results with architectural and business logic insights, saving the output to a local directory (.gauntlet/knowledge.json). No evidence of malicious intent, data exfiltration, or harmful prompt injection was found in SKILL.md or the metadata.
能力评估
Purpose & Capability
The name/description match the instructions: the skill is an instruction-only extractor that analyzes a codebase and writes .gauntlet/knowledge.json. That capability aligns with its stated purpose.
Instruction Scope
Instructions require running: python3 ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py <target-dir> and read/write .gauntlet/knowledge.json and .gauntlet/annotations/. The use of CLAUDE_PLUGIN_ROOT is not declared anywhere and grants the agent a file-system path it will use; the instructions also default to the current working directory (which may permit reading arbitrary repo files). These are functional for the stated goal but the undeclared env var and broad filesystem access are concerning and should be validated.
Install Mechanism
There is no install spec and no code files included (instruction-only). That minimizes install-time risk because nothing is downloaded or written by an installer.
Credentials
The skill declares no required env vars, yet the runtime instructions reference CLAUDE_PLUGIN_ROOT (an environment variable) and implicitly require python3. The mismatch (undeclared CLAUDE_PLUGIN_ROOT and an undeclared required binary) is disproportionate and could lead to unexpected path usage or failures.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent platform privileges or to modify other skills. Its write scope is local (.gauntlet/knowledge.json), which is expected for its purpose.
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-gauntlet-extract - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-gauntlet-extract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 the "extract" skill for analyzing codebases and building a structured knowledge base.
- Automates extraction and AI-powered enrichment of business logic, architecture, data flow, and engineering patterns.
- Cross-references entries, merges with curated annotations, and outputs comprehensive knowledge in .gauntlet/knowledge.json.
- Provides summary reports on category coverage and difficulty distribution.
- Prioritizes knowledge categories, emphasizing business logic and architecture.
元数据
常见问题
Nm Gauntlet Extract 是什么？
Analyze a codebase and build a knowledge base of business logic, architecture, data flow, and engineering patterns. The foundation for gauntlet challenges an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 80 次。
如何安装 Nm Gauntlet Extract？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-gauntlet-extract」即可一键安装，无需额外配置。
Nm Gauntlet Extract 是免费的吗？
是的，Nm Gauntlet Extract 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Gauntlet Extract 支持哪些平台？
Nm Gauntlet Extract 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 Gauntlet Extract？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
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