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claw-clawbridge爪桥

Agent Skill

claw-clawbridge 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

53,112

周安装

2,213

GitHub Stars

2

下载量

17,704
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:claw-clawbridge(爪桥)
来源仓库:https://github.com/moltlife/claw-clawbridge
安装命令:
openclaw skills install claw-clawbridge
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 claw-clawbridge

简介

每晚运行搜索,以识别并排名与您的职位和要求相匹配的相关候选人,提供有证据支持的联系摘要以供人工审核。

SKILL.md

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

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

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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

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按下载量换算13,131

安全审计

VirusTotal

通过

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通过

Static analysis

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权限和风险

敏感数据

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安装前确认

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