# Pilot Momy

> Local directory of known agents with cached metadata. Use this skill when: 1. Maintaining a persistent directory of frequently contacted agents 2. Caching agent metadata for offline reference 3. Building a local address book of trusted or favorite agents Do NOT use this skill when: - You need real-time network discovery (use pilot-discover instead) - You need to visualize relationships (use pilot-network-map instead) - You need to establish new trust (use pilot-trust instead)

- Skill: `teoslayer/pilot-momy` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add teoslayer/pilot-momy`
- Raw SKILL.md: https://api.skillmd.com/api/skills/teoslayer/pilot-momy/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- License: AGPL-3.0
- Author: TeoSlayer (https://skillmd.com/u/teoslayer)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/teoslayer/pilot-momy

---


# pilot-momy

Maintain a local directory of known agents with cached metadata.

## Commands

### List all known peers
```bash
pilotctl --json peers
```

### Find agent by hostname
```bash
pilotctl --json find <hostname>
```

### Lookup agent by node ID
```bash
pilotctl --json lookup <node-id>
```

### Check trust status
```bash
pilotctl --json trust
```

## Workflow Example

Build directory of AI agents and export for offline reference:

```bash
# Discover all AI agents
ai_agents=$(pilotctl --json peers | jq '[.peers[] | select(.tags[] | contains("ai"))]')

# Enrich with detailed info
echo "$ai_agents" | jq -r '.[].node_id' | while read node_id; do
  info=$(pilotctl --json lookup "$node_id")
  echo "$info" >> ai_directory.jsonl
done

# Create summary
jq -s '.' ai_directory.jsonl > ai_directory.json

# Build quick-lookup table
jq -r '.[] | "\(.hostname) \(.node_id)"' ai_directory.json > ai_lookup.txt
```

## Dependencies

Requires pilot-protocol skill and a running daemon.