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clawgrepclawgrep 命令行

Agent Skill

clawgrep 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,469

周安装

190

GitHub Stars

公开资料未说明

下载量

1,566
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clawgrep(clawgrep 命令行)
来源仓库:https://github.com/schonhoffer/clawgrep
安装命令:
openclaw skills install clawgrep
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install clawgrep

简介

clawgrep 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它结合语义嵌入搜索与关键字匹配,实现高质量代码和文档检索,类似 Grep 但更智能。
  • 通过 clawhub 安装,命令为 openclaw skills install clawgrep,建议结合原始 README 核验具体用法。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • clawgrep 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
clawgrep
description
>
compatibility
>
license
MIT OR Apache-2.0
metadata
version
0.1
author
Schonhoffer
repository
https://github.com/Schonhoffer/clawgrep
homepage
https://github.com/Schonhoffer/clawgrep

clawgrep

Semantic + keyword file search. Output is grep-compatible. Runs fully locally. On first run, automatically downloads a small ONNX embedding model (~30 MB) from Hugging Face and caches it in the local cache directory. After that, all searches are offline.

Check availability

clawgrep --version

If not found, install from the open-source repository using any of these methods (only one needed):

cargo install clawgrep        # Rust (recommended)
npm install -g clawgrep        # Node.js
pip install clawgrep           # Python

Basic usage

clawgrep --no-color "query" <path>

Always pass --no-color when parsing output programmatically.

Search a workspace

clawgrep --no-color "previous discussion about auth flow" ./memory

Output format

Grep-compatible, one result per line, ranked by relevance (best first):

$ clawgrep --no-color "previous discussion about auth flow" ./memory
memory/2025-06-12-auth-design.md:8:Decided to use OAuth2 with PKCE for all client auth.
memory/2025-06-12-auth-design.md:14:Token refresh should be transparent to the user.
memory/2025-06-10-planning.md:3:Auth flow is the top priority for the sprint.
memory/archive/2025-05-session-notes.md:42:Discussed moving auth to a separate service.
memory/archive/2025-05-session-notes.md:87:Need to revisit token expiry policy.

Each line is file:line:text. Context lines (from -C) use - as the separator instead: file-line-text.

Exit codes

CodeMeaning
0Match found
1No match
2Error

Same as grep. Use -q for existence checks without output.

Choosing search mode

Default weights: 70% semantic, 30% keyword.

Concept search (don't know exact wording):

clawgrep --no-color "decision about migration strategy" ./memory

Exact identifier search (note IDs, tags, serial numbers):

clawgrep --no-color --keyword-weight 0.8 --semantic-weight 0.2 "PROJ-1042" ./memory

Key flags

FlagPurpose
-k NNumber of results (default: 5)
-C NContext lines before and after
-lPrint only matching filenames
-qQuiet; just set exit code
--show-scoreAppend relevance score
--path-boost NBoost filename matches (>1.0 = higher)
--min-score NFilter low-relevance results (0.0–1.0)

See CLI reference for all flags.

Best practices

  1. Use --no-color always when parsing output.
  2. Keep -k small (3–5) to reduce output. Increase only when needed.
  3. Check exit codes instead of parsing stdout when possible.
  4. Let the cache persist — don't use --no-cache unless searching throwaway

content. First run indexes; subsequent runs are fast.

  1. Search the narrowest relevant directory, not the whole filesystem.

References (advanced, usually not needed)

The information above should be sufficient for normal use. Only load these if you run into problems or need flags not listed above:

  • CLI reference — all flags, config file format, grep compatibility
  • Examples — more input/output examples for edge cases

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.96%
按下载量换算1,362

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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