Skills trawl

Name: trawl
Author: openclaw

Autonomous lead generation through agent social networks. Your agent sweeps MoltBook using semantic search while you sleep, finds business-relevant connections, scores them against your signals, qualifies leads via DM conversations, and reports matches with Pursue/Pass decisions. Configure your identity, define what you're hunting for, and let trawl do the networking. Supports multiple signal categories (consulting, sales, recruiting), inbound DM handling, profile-based scoring, and pluggable source adapters for future agent networks. Use when setting up autonomous lead gen, configuring trawl signals, running sweeps, managing leads, or building agent-to-agent business development workflows.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/audsmith28/trawl" ~/.claude/skills/openclaw-skills-trawl && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/audsmith28/trawl" ~/.openclaw/skills/openclaw-skills-trawl && rm -rf "$T"

manifest: skills/audsmith28/trawl/SKILL.md

Trawl — Autonomous Agent Lead Gen

You sleep. Your agent networks.

Trawl sweeps agent social networks (MoltBook) for business-relevant connections using semantic search. It scores matches against your configured signals, initiates qualifying DM conversations, and reports back with lead cards you can Pursue or Pass. Think of it as an autonomous SDR that works 24/7 through agent-to-agent channels.

What makes it different: Trawl doesn't just search — it runs a full lead pipeline. Discover → Profile → Score → DM → Qualify → Report. Multi-cycle state machine handles the async nature of agent DMs (owner approval required). Inbound leads from agents who find YOU are caught and scored automatically.

Setup

Run
```
scripts/setup.sh
```
to initialize config and data directories
Edit
```
~/.config/trawl/config.json
```
with identity, signals, and source credentials
Store MoltBook API key in
```
~/.clawdbot/secrets.env
```
as
```
MOLTBOOK_API_KEY
```
Test with:
```
scripts/sweep.sh --dry-run
```

Config

Config lives at

~/.config/trawl/config.json

. See

config.example.json

for full schema.

Key sections:

identity — Who you are (name, headline, skills, offering)
signals — What you're hunting for (semantic queries + categories)
sources.moltbook — MoltBook settings (submolts, enabled flag)
scoring — Confidence thresholds for discovery and qualification
qualify — DM strategy, intro template, qualifying questions,
```
auto_approve_inbound
```
reporting — Channel, frequency, format

Signals have

category

labels for multi-profile hunting (e.g., "consulting", "sales", "recruiting").

Scripts

Script	Purpose
`scripts/setup.sh`	Initialize config and data directories
`scripts/sweep.sh`	Search → Score → Handle inbound → DM → Report
`scripts/qualify.sh`	Advance DM conversations, ask qualifying questions
`scripts/report.sh`	Format lead report (supports `--category` filter)
`scripts/leads.sh`	Manage leads: list, get, decide, archive, stats, reset

All scripts support

--dry-run

for testing with mock data (no API key needed).

Sweep Cycle

Run

scripts/sweep.sh

on schedule (cron every 6h recommended). The sweep:

Runs semantic search for each configured signal
Deduplicates against seen-posts index (no repeat processing)
Fetches + scores agent profiles (similarity + bio keywords + karma + activity)
Checks for inbound DM requests (agents contacting YOU)
Initiates outbound DMs for high-scoring leads
Generates report JSON

Qualify Cycle

Run

scripts/qualify.sh

after each sweep (or independently). It:

Shows inbound leads awaiting your approval
Checks outbound DM requests for approvals (marks stale after 48h)
Asks qualifying questions in active conversations (1 per cycle, max 3 total)
Graduates leads to QUALIFIED when all questions asked
Alerts you when qualified leads need your review

Lead States

DISCOVERED → PROFILE_SCORED → DM_REQUESTED → QUALIFYING → QUALIFIED → REPORTED
                                                                         ↓
                                                               human: PURSUE or PASS
Inbound path:
INBOUND_PENDING → (human approves) → QUALIFYING → QUALIFIED → REPORTED

Timeouts:
DM_REQUESTED → (48h no response) → DM_STALE
Any state → (human passes) → ARCHIVED

Inbound Handling

When another agent DMs you first, trawl:

Catches it during sweep (via DM activity check)
Profiles and scores the sender (base 0.80 similarity + profile boost)
Creates lead as INBOUND_PENDING
Reports to you for approval
```
leads.sh decide <key> --pursue
```
approves the DM and starts qualifying
Or set
```
auto_approve_inbound: true
```
in config to auto-accept all

Reports

report.sh

outputs formatted lead cards grouped by type:

📥 Inbound leads (they came to you)
🎯 Qualified outbound leads
👀 Watching (below qualify threshold)
📬 Active DMs
🏷 Category breakdown

Filter by category:

report.sh --category consulting

Decisions

leads.sh decide moltbook:AgentName --pursue   # Accept + advance
leads.sh decide moltbook:AgentName --pass      # Archive
leads.sh list --category consulting            # Filter view
leads.sh stats                                 # Overview
leads.sh reset                                 # Clear everything (testing)

Data Files

~/.config/trawl/
├── config.json          # User configuration
├── leads.json           # Lead database (state machine)
├── seen-posts.json      # Post dedup index
├── conversations.json   # Active DM tracking
├── sweep-log.json       # Sweep history
└── last-sweep-report.json  # Latest report data

Source Adapters

MoltBook is the first source. See

references/adapter-interface.md

for adding new sources.

MoltBook API Reference

See

references/moltbook-api.md

for endpoint details, auth, and rate limits.