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在 OpenClaw 中安装
/install semanticfs
功能描述
Search your local filesystem and codebase semantically. Use instead of grep/find/ls/cat chains when looking for files, functions, symbols, or code patterns....
安全使用建议
This skill appears to do what it claims: run a local semantic search server over directories you index. Before installing, inspect the project's install script (the SKILL.md suggests curl https://raw.githubusercontent.com/... | bash) rather than executing it blindly; prefer official release assets or a package manager when available. Be aware the tool will read all files in any directory you index (so only index directories you trust). Confirm where ~/semanticfs.toml and the index files are stored and whether you need to open the local server port (default 9464) to network interfaces — bind it to localhost if you want to avoid remote access.
功能分析
Type: OpenClaw Skill
Name: semanticfs
Version: 0.1.0
The skill provides semantic search functionality but instructs the AI agent to perform high-risk actions, specifically downloading and executing a shell script from a remote URL via 'curl | bash' (https://raw.githubusercontent.com/Navneeth08k/semanticFS/main/scripts/install.sh) and running a local background server. While these actions are aligned with the tool's stated purpose in SKILL.md, the use of unverified remote execution and the requirement for the agent to install third-party binaries represent significant security risks, including potential Remote Code Execution (RCE) and unauthorized filesystem indexing.
能力评估
Purpose & Capability
Name/description match the actual requirements: the skill needs a local 'semanticfs' binary and runs a local HTTP server to provide semantic search over indexed files. These capabilities are appropriate for a local semantic-search tool.
Instruction Scope
Instructions are narrowly scoped to indexing and searching the filesystem via the local semanticfs binary and its localhost HTTP API. They reference a user config file (~/.semanticfs.toml) and running the server in the background; the registry metadata declared no config paths — this mismatch is worth noting so you know where the tool will read/write config and indexes.
Install Mechanism
There is no registry install spec, but SKILL.md directs users to install by piping a raw.githubusercontent.com script into bash (curl | bash). While GitHub raw is a common host, piping remote install scripts to shell is risky — inspect the script or prefer official releases/package managers before running.
Credentials
The skill requests no environment variables or credentials, which is proportional to a local read-only search tool. It does require a local binary and access to the directories you choose to index (expected).
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent platform privileges. It runs a local service and is user-invocable, which aligns with 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 semanticfs - 安装完成后，直接呼叫该 Skill 的名称或使用
/semanticfs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
v0.1.0
Initial release of the semanticfs skill for semantic code and filesystem search.
- Quickly search files, functions, symbols, or code patterns with semantic queries.
- Returns exact file paths, line numbers, and code snippets for each result.
- Designed as a fast, read-only alternative to manual grep/find/ls/cat command chains.
- Supports Linux, macOS, and Windows (requires the semanticfs binary).
- Requires directory indexing before use; integrates via local HTTP server.
元数据
常见问题
Semanticfs 是什么？
Search your local filesystem and codebase semantically. Use instead of grep/find/ls/cat chains when looking for files, functions, symbols, or code patterns.... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 236 次。
如何安装 Semanticfs？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install semanticfs」即可一键安装，无需额外配置。
Semanticfs 是免费的吗？
是的，Semanticfs 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Semanticfs 支持哪些平台？
Semanticfs 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 Semanticfs？
由 Navneeth（@navneeth08k）开发并维护，当前版本 v0.1.0。
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