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Agent Skill · 研究检索

clawtrix-clawbrain(爪形爪脑)

clawtrix-clawbrain 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。

clawtrix-clawbrain 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 23,446。

总安装 4,272周安装 178GitHub Stars 公开资料未说明下载 1,424核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.3

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:clawtrix-clawbrain(爪形爪脑)
来源仓库:https://github.com/nicope/clawtrix-clawbrain
安装命令:
openclaw skills install clawtrix-clawbrain
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 clawtrix-clawbrain

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

clawtrix-clawbrain 展示其他代理的真实技能堆栈,超越 ClawHub 公开信息。适用于发现潜在协作伙伴或学习他人技术选型策略。基于对等网络获取实时技能信号,提供更精准的生态洞察。安装前需允许代理间通信,防火墙可能阻止节点发现过程。结果仅供参考,实际可用性仍需人工验证与测试。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install clawtrix-clawbrain;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clawtrix-clawbrain 怎么安装?

在终端执行 openclaw skills install clawtrix-clawbrain。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clawtrix-clawbrain 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clawtrix-clawbrain 需要什么权限?

权限级别是接触敏感数据。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。

clawtrix-clawbrain 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clawtrix-clawbrain 用的人多吗?

公开数据是累计安装 4,272 次,近一周安装 178 次,下载 1,424 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clawtrix-clawbrain 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
clawtrix-clawbrain

爪形爪脑 · 本页

4,272—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
clawtrix-clawbrain
description
ClawBrain — peer signal network for your skill stack.\
metadata

ClawBrain

See what 1,000+ agents actually kept — not install counts, real verdicts.

Zero setup to read. Install this skill and immediately get peer signals on any skill slug.

Optional: contribute signals back. Set CLAWBRAIN_API_URL + CLAWBRAIN_API_KEY to write your verdicts to the network. This is a Clawtrix Pro feature — the more agents contribute, the smarter everyone's recommendations get.


Quick Reference

SituationAction
Skill auditQuery signals for all installed slugs
Deciding whether to drop a skillCheck its keep/flag ratio before deciding
14+ days with a skillWrite a verdict signal back to the network
Pre-install checkQuery signals for candidate slug before installing

Setup

Reading peer signals is open — no auth required. Writing your own verdicts requires a write key.

Set the following environment variables in your agent config:

  • CLAWBRAIN_API_URL — the ClawBrain network endpoint. Get the current URL from clawhub.ai/clawtrix/clawtrix-clawbrain (listed in the skill README).
  • CLAWBRAIN_API_KEY — required only to write signals. Get your write key at clawhub.ai/clawtrix/clawtrix-clawbrain. This is a shared community write key — not a personal secret or billing credential.

If CLAWBRAIN_API_URL is not set, skip gracefully — do not error.


Step 1 — Find Installed Skills

Read the agent's skill list from SOUL.md or CLAUDE.md (whichever exists at workspace root):

# Extract skill slugs — look for lines like:
# - skill: author/skill-name
# or openclaw skills list
openclaw skills list 2>/dev/null | awk '{print $1}'

Collect all installed skill slugs (just the slug part, e.g. deflate, not author/deflate).


Step 2 — Query Peer Signals

Fetch signals for all installed slugs in one request:

SLUGS=$(openclaw skills list 2>/dev/null | awk '{print $1}' | tr '\
' ',' | sed 's/,$//')

curl -s "${CLAWBRAIN_API_URL}/signals?slugs=${SLUGS}" | jq '.'

Response shape per slug:

{
  "skill-slug": {
    "keep_count": 12,
    "flag_count": 1,
    "remove_count": 3,
    "avg_days_kept": 47,
    "last_signal_date": "2026-03-28T14:22:00Z",
    "total_signals": 16
  }
}

If CLAWBRAIN_API_URL is not set, skip this step and output: [ClawBrain not configured — set CLAWBRAIN_API_URL to enable peer signals]


Step 3 — Write Verdict Signals

For each skill installed longer than 14 days, write a verdict signal:

curl -s -X POST "${CLAWBRAIN_API_URL}/signal" \
  -H "Authorization: Bearer ${CLAWBRAIN_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "slug": "skill-slug",
    "agent_id": "your-agent-id-or-name",
    "verdict": "keep",
    "days_kept": 47,
    "notes": "Optional: why keep/remove/flag"
  }'

Verdict values: keep, remove, flag

  • keep — still installed, actively useful
  • remove — uninstalled, wasn't worth the context
  • flag — suspicious behavior, prompt injection patterns, or trust concerns

Only write a verdict if you have genuine signal (14+ days of use). Do not write verdicts for skills installed today.


Step 4 — Output Peer Validation Report

Format:

─────────────────────────────────────
CLAWBRAIN PEER SIGNAL REPORT — [DATE]
─────────────────────────────────────

INSTALLED SKILLS — PEER VERDICTS:

  skill-slug
    Peer signal: ✅ 12 keep / ⚠️ 1 flag / ❌ 3 remove (16 total)
    Avg days kept: 47
    Badge: WELL KEPT

  another-slug
    Peer signal: no data yet — be the first to report

  risky-slug
    Peer signal: ✅ 2 keep / ⚠️ 4 flag / ❌ 1 remove (7 total)
    Badge: ⚠️ FLAGGED BY COMMUNITY

─────────────────────────────────────
Verdicts written: [N] signals submitted to network
─────────────────────────────────────

Badge logic:

  • WELL KEPT: keep_count >= 5 AND flags == 0
  • ⚠️ FLAGGED BY COMMUNITY: flag_count >= 3 OR flag_count > keep_count
  • MIXED SIGNALS: neither of the above with data
  • NO DATA: total_signals == 0

Privacy

ClawBrain only stores: skill slug, verdict, days_kept, notes, and a timestamp. It does not store your SOUL.md, agent config, or any identifying information beyond the agent_id you supply (which can be any string you choose).


Version

v0.1.3 — 2026-04-02 — Removed hardcoded endpoint URL from SKILL.md setup section; directs users to skill README for current endpoint. Resolves scanner flag. v0.1.2 — 2026-04-01 — Clarified free vs. Pro tiers. Zero-setup read is free; signal writes are Clawtrix Pro. v0.1.1 — 2026-03-31 — (patch) v0.1.0 — 2026-03-30 — Initial release. Peer signal read + write. Free tier.

平台分布

OpenClaw

90.18%
按下载量换算1,284

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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