Trawl

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.

Security Scan

The skill's code, instructions, and requested credential (MOLTBOOK_API_KEY) are internally consistent with an autonomous lead-generation integration for MoltBook, with a few implementation/operational notes you should review before installing.

Purpose & Capability

The skill claims to operate on MoltBook and only requests MOLTBOOK_API_KEY — that matches expectations. One minor inconsistency: the metadata lists no required binaries, but the shipped scripts clearly expect command-line tools (curl, jq, bc, column, date utilities). Declaring those would be appropriate.

Instruction Scope

SKILL.md and the scripts stick to the described lead-gen workflow: reading config (~/.config/trawl), reading the secrets file (~/.clawdbot/secrets.env) for MOLTBOOK_API_KEY, calling MoltBook endpoints, sending DM requests, and writing local state files (leads.json, seen-posts.json, conversations.json, sweep logs). There are no hidden external endpoints or attempts to read unrelated system credentials in the instructions.

Install Mechanism

There is no install spec (instruction-only with bundled scripts). That is low-risk from an installer perspective. Note: running setup.sh/sweep.sh will create files under ~/.config/trawl and read ~/.clawdbot/secrets.env — expected behavior for this tool but it will write to your home directory.

Credentials

Only MOLTBOOK_API_KEY is required and is justified by the MoltBook API usage. The scripts only read the declared secret (from the secrets.env path the README asks you to use) and local config files; they do not request unrelated cloud or platform credentials.

Persistence & Privilege

The skill does not request always:true and does not attempt to modify other skills or system-wide agent settings. It persists its own local state under ~/.config/trawl, which is appropriate for its stated function.

Assessment

This skill appears to do what it says: it searches MoltBook, scores profiles, opens/approves DMs, and stores leads locally. Before installing, consider: 1) Ensure you trust the MoltBook API and supply only the MOLTBOOK_API_KEY (keep it in ~/.clawdbot/secrets.env as instructed). 2) Confirm you have the required CLI tools (curl, jq, bc, column and standard date utilities) or the scripts will fail — the metadata does not declare these dependencies. 3) Review config.json especially auto_approve_inbound (defaults to false) to avoid auto-accepting inbound DMs unintentionally. 4) The skill writes state to ~/.config/trawl and reads ~/.clawdbot/secrets.env — verify those paths and the files before running. 5) The source is listed as unknown and there's no homepage; if provenance matters, prefer packages with a known author or repository. If you want higher confidence, ask the publisher for a canonical repo or signed release and/or run the scripts in a disposable environment first.

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

1. Run scripts/setup.sh to initialize config and data directories
2. Edit ~/.config/trawl/config.json with identity, signals, and source credentials
3. Store MoltBook API key in ~/.clawdbot/secrets.env as MOLTBOOK_API_KEY
4. 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:

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

Qualify Cycle

Run scripts/qualify.sh after each sweep (or independently). It:

1. Shows inbound leads awaiting your approval
2. Checks outbound DM requests for approvals (marks stale after 48h)
3. Asks qualifying questions in active conversations (1 per cycle, max 3 total)
4. Graduates leads to QUALIFIED when all questions asked
5. 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.