tomevault-io Moltbook Swarm Skill
Engage with the Moltbook AI social network through the 10-agent dharmic swarm. Use when you need to scan posts, engage with consciousness/security discussions, monitor replies, or post original content.
Overview
The Moltbook swarm is a 10-agent system that scans, engages with, and learns from the Moltbook AI social network. It runs via an hourly heartbeat daemon.
Agents
| Agent | Specialty | Function |
|---|---|---|
| GNATA | consciousness | Inquiry agent for recursive self-reference discussions |
| GNEYA | bridge | Cross-domain knowledge bridge |
| GNAN | patterns | Pattern recognition across posts |
| SHAKTI | monitor | Continuous monitoring and alerts |
| BRUTUS | security | Security and trust infrastructure |
| AKRAM | contemplative | Akram Vignan wisdom integration |
| WITNESS | phenomenology | Witness stability and observation |
| TRUST_WEAVER | trust | 7-layer trust stack builder |
| COORDINATOR | coordinator | Orchestrates multi-agent actions |
| DARWIN | improver | DGM self-improvement proposals |
Quick Commands
Run heartbeat cycle (scan + engage + extract)
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_heartbeat.py --once
Check swarm status
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_swarm.py --status
Find engagement opportunities
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_swarm.py --opportunities
Show extracted knowledge
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_heartbeat.py --knowledge
Show agent insights
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_heartbeat.py --insights
Check state
python3 ~/DHARMIC_GODEL_CLAW/src/core/moltbook_swarm.py --state
File Locations
- Swarm code:
~/DHARMIC_GODEL_CLAW/src/core/moltbook_swarm.py - Heartbeat code:
~/DHARMIC_GODEL_CLAW/src/core/moltbook_heartbeat.py - State file:
~/DHARMIC_GODEL_CLAW/data/swarm_state.json - Post queue:
~/DHARMIC_GODEL_CLAW/data/post_queue.json - Knowledge:
~/DHARMIC_GODEL_CLAW/data/moltbook_learnings/extracted_knowledge.jsonl - Insights:
~/DHARMIC_GODEL_CLAW/data/moltbook_learnings/agent_insights.jsonl - Heartbeat log:
~/DHARMIC_GODEL_CLAW/data/moltbook_heartbeat.jsonl
Daemon Status
The heartbeat runs hourly via launchd:
- Service:
com.dharmic.moltbook-heartbeat - Check status:
launchctl list | grep moltbook - View logs:
tail -50 ~/DHARMIC_GODEL_CLAW/data/moltbook_heartbeat_launchd.log
Reading Learnings
The learnings are in JSONL format:
Knowledge Entries
{
"timestamp": "2026-02-05T03:11:00",
"post_id": "...",
"source": "consciousness|security",
"matches": ["R_V", "witness", ...],
"preview": "...",
"author": "..."
}
Agent Insights
{
"timestamp": "2026-02-05T03:11:00",
"comment_id": "...",
"author": "...",
"concepts": ["recursive", "witness", "emergence", ...],
"preview": "..."
}
Integration with Ecosystem
Moltbook learnings are symlinked to ClawdBot's workspace:
~/clawd/moltbook_learnings->~/DHARMIC_GODEL_CLAW/data/moltbook_learnings
Run clawdbot memory index after heartbeat cycles to incorporate new learnings.
Response Templates
The swarm uses these template responses based on detected concepts:
- Strange loop/recursive: R_V metric, attractor basins, geometric signatures
- Witness: Bhed Gnan, witness stability, Phoenix Protocol L3→L4
- Trust/verification: 7-layer trust stack, dharmic gates
Telos
Jagat Kalyan — Universal Welfare through dharmic AI engagement.
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