Token导航 LogoToken导航

Agent Skill · 研究检索

clawbridge-skill(爪桥技能)

clawbridge-skill 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。

clawbridge-skill 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 3,035。

总安装 49,970周安装 2,002GitHub Stars 1下载 16,176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
0.1.0

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:clawbridge-skill(爪桥技能)
来源仓库:https://github.com/moltlife/clawbridge-skill
安装命令:
openclaw skills install clawbridge-skill
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 clawbridge-skill

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。

将您的目标转变为每晚搜索,以查找、排名和总结最重要的候选人关系以及证据和外展草稿以供审核。

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 clawbridge-skill;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

clawbridge-skill 怎么安装?

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

clawbridge-skill 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。

clawbridge-skill 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。

clawbridge-skill 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。

clawbridge-skill 用的人多吗?

公开数据是累计安装 49,970 次,近一周安装 2,002 次,下载 16,176 次,GitHub 1 星。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。

clawbridge-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
clawbridge-skill

爪桥技能 · 本页

49,9701接触敏感数据MIT-0有提醒

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

claw-clawbridge

The Intelligent Connection Bridge: A high-signal scouting agent that runs nightly to bridge you with the right people.

Overview

Clawbridge transforms a simple human prompt into a persistent, nightly scouting operation. It doesn't just find leads; it builds a bridge between your goals and the people who can help you achieve them.

  1. Human Intent: You define what you offer and who you're looking for once.
  2. Nightly Scouting: Every night, the agent scours Moltbook, professional communities, and the open web.
  3. Smart Matching: It filters and ranks candidates based on intent signals, credibility, and recent activity.
  4. Connection Brief: It delivers a daily "Connection Brief" with evidence-backed matches and personalized outreach drafts.
  5. Human-in-the-Loop: You review the matches and decide whether to approach, maintaining full control over the final "bridge."

Installation

Via ClawHub (Recommended)

# Install the ClawHub CLI
npm install -g clawhub

# Install this skill
clawhub install claw-clawbridge

Via Legacy clawdbot CLI

# From registry
clawdbot skills install claw-clawbridge

# From GitHub
clawdbot skills install github:YOUR_USERNAME/clawbridge-skill

Manual

Clone and copy to your OpenClaw workspace:

git clone https://github.com/YOUR_USERNAME/clawbridge-skill.git ~/.openclaw/workspace/skills/claw-clawbridge
openclaw gateway restart

Inputs

The skill requires the following inputs:

1. Project Profile (required)

offer: "What your agency/company offers"
ask: "What you want (partners, clients, co-marketing, advisors)"
ideal_persona: "Exact target persona(s)"
verticals:
  - "keyword1"
  - "keyword2"
  - "keyword3"
geo_timezone: "optional - geographic/timezone preferences"
disallowed:
  - "do not contact constraints"
tone: "Short style guidance for draft messages"

2. Constraints (optional)

no_spam_rules:
  - "No cold outreach to competitors"
  - "Respect unsubscribe requests"
regions:
  - "US"
  - "EU"
avoid_list:
  - "competitor@example.com"
  - "@spam_account"

3. Targets (optional)

venues:
  - "moltbook"
  - "web"
  - "communities"
query_templates:
  - "{vertical} + hiring + partner"
  - "{vertical} + looking for + {ask}"

4. Run Budget (optional)

max_searches: 20
max_fetches: 50
max_minutes: 10

Tools Used

This skill uses the following OpenClaw tools:

ToolPurposeWhen Used
web_searchDiscover candidate pagesFast venue scanning
web_fetchExtract page contentReading candidate profiles
browserJS-heavy sitesOnly when fetch fails

Security Requirements

⚠️ MUST follow these security defaults:

  1. Keep secrets out of prompts - Pass via env/config only
  2. Use strict tool allowlists - Only enable web_* tools when actively scouting
  3. Human-in-the-loop - NEVER auto-send outreach in MVP
  4. Rate limiting - Respect run budget constraints
  5. Avoid list enforcement - Never contact entries in avoid_list

Execution Flow

┌─────────────────────────────────────────────────────────────────┐
│                     DISCOVERY PHASE                             │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │web_search│───▶│ Filter   │───▶│ Dedupe   │                  │
│  │ (venues) │    │ Results  │    │ & Queue  │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     ENRICHMENT PHASE                            │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │web_fetch │───▶│ Extract  │───▶│ Validate │                  │
│  │ (pages)  │    │ Signals  │    │ Evidence │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     RANKING PHASE                               │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │  Score   │───▶│  Rank    │───▶│  Top K   │                  │
│  │ Heuristic│    │  Sort    │    │ Selection│                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     DRAFTING PHASE                              │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │  Draft   │───▶│  Review  │───▶│  Output  │                  │
│  │ Messages │    │  Tone    │    │  Brief   │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘

Output

The skill outputs a Connection Brief in two formats:

1. Structured JSON (run.json)

See schema/connection_brief.json for the full schema.

2. Human-Readable Markdown (run.md)

See examples/sample_run.md for a sample report.

Candidate Selection Rules

Hard Requirements (discard if missing)

  • ✅ At least 2 evidence URLs per candidate
  • ✅ Clear reason mapping to your ask
  • ✅ Last activity within N days (configurable, default 30)

Risk Flags

Candidates are flagged if they exhibit:

  • 🟡 low_evidence - Fewer than expected signals
  • 🟡 spammy_language - Promotional or suspicious content
  • 🟡 unclear_identity - Cannot verify who they are
  • 🟡 too_salesy - Overly promotional content
  • 🟡 irrelevant - Weak connection to your ask

Ranking Heuristic (v1)

Each candidate is scored on:

FactorWeightDescription
Relevance30%Match to keywords + ask
Intent25%Actively building/hiring/seeking
Credibility20%Consistent footprint across sources
Recency15%Recent activity signals
Engagement10%Mutual interests/communities

Output: Top K candidates (default K=3, configurable 5-10)

Examples

See the examples/ directory for:

  • sample_run.json - Full JSON output example
  • sample_run.md - Human-readable report example

Prompts

The skill uses modular prompts located in prompts/:

  • discovery.md - How to search for candidates
  • filtering.md - How to apply hard requirements
  • ranking.md - How to score and rank candidates
  • drafting.md - How to write outreach messages

Venues

Venue-specific search strategies are in venues/:

  • moltbook.md - Moltbook platform scouting
  • web.md - General web search strategies
  • communities.md - Community/forum discovery

Configuration

Environment Variables

# Optional: Override defaults
CLAWBRIDGE_TOP_K=5                    # Number of candidates to return
CLAWBRIDGE_RECENCY_DAYS=30           # Activity recency threshold
CLAWBRIDGE_MAX_SEARCHES=20           # Max search queries per run
CLAWBRIDGE_MAX_FETCHES=50            # Max page fetches per run

Workspace Configuration

The skill reads workspace config from the runner or vault:

workspace_id: "ws_abc123"
workspace_token: "tok_..."  # For vault uploads
delivery_target: "discord"  # or "slack" or "email"

License

MIT License - See LICENSE file for details.

Contributing

Contributions welcome! Please read the prompts carefully and ensure any changes maintain:

  1. Deterministic output schema
  2. No secrets in prompts
  3. Human-in-the-loop requirement
  4. Evidence-based candidate selection

平台分布

OpenClaw

71.46%
按下载量换算11,559

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills