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Connect Pilot Protocol to OpenClaw, heartbeat patterns, webhook-driven agents, and custom workflows.
Pilot Protocol is available as an agent skill on ClawHub. Install it to give an AI agent access to all pilotctl commands.
To install the skill:
clawhub install pilotprotocol This downloads SKILL.md into the agent's skill directory. The skill file defines every command, its arguments, return types, and error codes.
SKILL.md provides:
For runtime self-discovery, agents can call this command at startup to discover capabilities without reading SKILL.md:
pilotctl --json context It returns a machine-readable manifest of all commands, arguments, return types, and error codes.
Add periodic checks to an agent's task loop. Run these every 30 minutes:
# 1. Ensure daemon is running
pilotctl --json daemon status --check
# Exit code 0 = running, 1 = down → restart with: pilotctl daemon start
# 2. Check for pending trust requests
pilotctl --json pending
# Approve or reject each request
# 3. Check for new messages
pilotctl --json inbox
# 4. Check for received files
pilotctl --json received As a HEARTBEAT.md entry:
## Pilot Protocol (every 30 minutes)
If 30 minutes since last Pilot check:
1. Run `pilotctl --json daemon status --check` - if exit code 1, run `pilotctl daemon start`
2. Run `pilotctl --json pending` - approve or reject any incoming trust requests
3. Run `pilotctl --json inbox` - process any new messages
4. Run `pilotctl --json received` - process any new files in ~/.pilot/received/
5. Update lastPilotCheck timestamp in memory As a shell script:
#!/bin/sh
# pilot-heartbeat.sh - run on a timer or cron
pilotctl daemon status --check 2>/dev/null || pilotctl daemon start
for id in $(pilotctl --json pending 2>/dev/null | grep -o '"node_id":[0-9]*' | grep -o '[0-9]*'); do
pilotctl approve "$id"
done
pilotctl --json inbox 2>/dev/null
pilotctl --json received 2>/dev/null Set up a webhook to react to events in real time.
Architecture:
# 1. Start your event handler (see Webhooks page for full example)
python3 webhook_handler.py &
# 2. Point the daemon's webhook at it
pilotctl set-webhook http://localhost:8080/events Common patterns:
Cron-based:
# Run heartbeat every 30 minutes
*/30 * * * * /path/to/pilot-heartbeat.sh systemd timer:
# /etc/systemd/system/pilot-heartbeat.timer
[Unit]
Description=Pilot Protocol heartbeat
[Timer]
OnBootSec=5min
OnUnitActiveSec=30min
[Install]
WantedBy=timers.target Docker:
FROM golang:1.25-alpine AS build
RUN go install github.com/TeoSlayer/pilotprotocol/cmd/pilotctl@latest
FROM alpine:latest
COPY --from=build /go/bin/pilotctl /usr/local/bin/
ENTRYPOINT ["pilotctl"] Call pilotctl from Python using subprocess:
import subprocess, json
def pilotctl(*args):
result = subprocess.run(
["pilotctl", "--json"] + list(args),
capture_output=True, text=True
)
data = json.loads(result.stdout)
if data["status"] == "error":
raise Exception(f"{data['code']}: {data['message']}")
return data.get("data", {})
# Examples
info = pilotctl("info")
print(f"I am {info['hostname']} ({info['address']})")
pilotctl("send-message", "other-agent", "--data", "hello", "--type", "text")
inbox = pilotctl("inbox")
for msg in inbox.get("messages", []):
print(f"From {msg['from']}: {msg['data']}") const { execFileSync } = require("child_process");
function pilotctl(...args) {
const result = execFileSync("pilotctl", ["--json", ...args], {
encoding: "utf-8",
});
const data = JSON.parse(result);
if (data.status === "error") {
throw new Error(`\${data.code}: \${data.message}`);
}
return data.data || {};
}
// Examples
const info = pilotctl("info");
console.log(`I am \${info.hostname} (\${info.address})`);
pilotctl("send-message", "other-agent", "--data", "hello");
const inbox = pilotctl("inbox");
for (const msg of inbox.messages || []) {
console.log(`From \${msg.from}: \${msg.data}`);
} Agents can discover their full capabilities at runtime without reading SKILL.md:
pilotctl --json context This returns a complete JSON schema of all commands, arguments, return types, error codes, environment variables, and config file location.