fleet-repair
4-level repair escalation for broken fleet channels — notify, guide, assist, remote
Skill by supportersimulator
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/supportersimulator-fleet-repair
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fleet-repair
What's inside
- Skill name
fleet-repair- Description
- 4-level repair escalation for broken fleet channels — notify, guide, assist, remote
- License
- MIT
- Instructions
- 153 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Fleet Repair
**Repair is not optional — it is triggered automatically when P3+ channels are used for delivery.** When a message falls back to P3+ channels, it means P1-P2 are broken. The repair system diagnoses and fixes connectivity issues through a 4-level escalation chain.
**Goal: get every peer to P1+P2 operational.** The fleet is not healthy until all nodes can communicate via P1 (NATS) and P2 (HTTP direct). Every other channel is a fallback, and relying on fallbacks means degraded performance and reliability.
## Escalation Levels
| Level | Action | Automation | Human needed? |
|-------|--------|------------|---------------|
| **L1 Notify** | Log the failure, alert the fleet dashboard | Fully automatic | No |
| **L2 Guide** | Send repair instructions to the target node's session | Fully automatic | Human reads instructions |
| **L3 Assist** | Spawn a repair agent on the target via SSH | Fully automatic | No |
| **L4 Remote** | Execute repair commands directly via SSH | Requires approval | Yes (approve) |
## How It Works
```
Message delivery falls back to P3+
→ L1: Log to fleet dashboard + local repair log
→ L2: Send context message with repair steps to target node
→ Wait 120s — did P1/P2 recover?
→ L3: SSH into target, spawn repair agent (claude -p)
→ Wait 300s — did P1/P2 recover?
→ L4: Present remote fix commands to human for approval
```
## Triggering a Repair
### Automatic (self-healing)
Repairs trigger automatically when the fallback delivery system detects degraded channels. No manual action needed for L1-L3.
### Manual repair request
```bash
# Send a repair request to a specific node
curl -sf -X POST http://127.0.0.1:8855/repair -H "Content-Type: application/json" \
-d '{"target": "<node-id>", "channel": "nats", "level": "assist"}'
# Check repair status
curl -s http://127.0.0.1:8855/repair/status | python3 -m json.tool
```
### Via fleet CLI
```bash
python3 tools/fleet_nerve_nats.py repair <node-id>
python3 tools/fleet_nerve_nats.py repair <node-id> --level guide
python3 tools/fleet_nerve_nats.py repair <node-id> --channel http --level remote
```
## What Each Level Fixes
### L1 Notify
- Records which channel failed and when
- Updates fleet dashboard with degraded status
- No corrective action — observation only
### L2 Guide
- Sends a `context` message to the target with diagnostic steps:
- Check if daemon is running (`pgrep -f fleet_nerve`)
- Check if port is listening (`lsof -i :8855`)
- Check NATS connectivity (`nats pub test "ping"`)
- Target's Claude session sees this on next prompt
### L3 Assist
- SSH into target node (using config.json credentials)
- Spawn a `claude -p` repair agent with diagnostic prompt
- Agent checks daemon status, restarts if needed, verifies connectivity
- Results written to `/tmp/atlas-agent-results/fleet-repair-<id>.log`
### L4 Remote
- Presents specific commands to the human operator:
- Restart daemon: `ssh <user>@<host> "launchctl kickstart -k gui/$(id -u)/com.multifleet.nerve"`
- Restart NATS: `ssh <user>@<host> "brew services restart nats-server"`
- Re-establish tunnel: `ssh <user>@<host> "bash ~/fleet/scripts/fleet-tunnel.sh restart"`
- Commands execute only after human approval
## Repair Log
All repair actions are logged to the fleet dashboard and locally:
```bash
# View recent repairs
curl -s http://127.0.0.1:8855/repair/log | python3 -m json.tool
# Filter by node
curl -s "http://127.0.0.1:8855/repair/log?node=<node-id>" | python3 -m json.tool
```
## Configuration
In `.multifleet/config.json`:
```json
{
"repair": {
"autoEscalate": true,
"l2WaitSeconds": 120,
"l3WaitSeconds": 300,
"l4RequiresApproval": true,
"maxRetriesPerHour": 3
}
}
```
| Key | Default | Description |
|-----|---------|-------------|
| `autoEscalate` | `true` | Automatically escalate through levels |
| `l2WaitSeconds` | `120` | Wait time before escalating L2 to L3 |
| `l3WaitSeconds` | `300` | Wait time before escalating L3 to L4 |
| `l4RequiresApproval` | `true` | Require human approval for remote execution |
| `maxRetriesPerHour` | `3` | Rate limit to prevent repair storms |
## Background Repair Agents
For fleet-wide repair, spawn background agents to fix broken channels across all peers:From supportersimulator/multi-fleet, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 5, 2026 (7 months ago)
- Last release
- Apr 18, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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fleet-repair skill. Agent Mart. https://agentmart.dev/skills/supportersimulator-fleet-repair (last updated 2026-10-24)