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SKILL.md
Cross Machine Coordination
ASecurityEnables squad agents on different machines to share work via git-based task queuing
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- Added October 6, 2026
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[](https://www.skillsdirectory.com/skills/sbroenne-cross-machine-coordination)---
name: "cross-machine-coordination"
description: "Enables squad agents on different machines to share work via git-based task queuing"
domain: "orchestration"
confidence: "medium"
source: "manual"
---
# Skill: Cross-Machine Coordination Pattern
**Skill ID:** `cross-machine-coordination`
**Owner:** Ralph (Work Monitor)
**Squad Integration:** All agents
**Status:** Specification (ready for implementation)
---
## Overview
Enables squad agents running on different machines (laptop, DevBox, Azure VM) to securely share work, coordinate execution, and pass results without manual intervention.
**Pattern:** Git-based task queuing + GitHub Issues supplement
---
## Usage
### For Task Sources (Orchestrating Machine)
**To assign work to DevBox:**
```bash
# Create task file
cat > .squad/cross-machine/tasks/2026-03-14T1530Z-laptop-gpu-voice-clone.yaml << 'EOF'
id: gpu-voice-clone-001
source_machine: laptop-machine
target_machine: devbox
priority: high
created_at: 2026-03-14T15:30:00Z
task_type: gpu_workload
payload:
command: "python scripts/voice-clone.py --input voice.wav --output cloned.wav"
expected_duration_min: 15
resources:
gpu: true
memory_gb: 8
status: pending
EOF
# Commit & push
git add .squad/cross-machine/tasks/
git commit -m "Cross-machine task: GPU voice cloning [squad:machine-devbox]"
git push origin main
```
Ralph on DevBox will:
1. Pull the task on next cycle (5-10 min)
2. Validate schema & command whitelist
3. Execute the GPU workload
4. Write result to `.squad/cross-machine/results/gpu-voice-clone-001.yaml`
5. Commit & push the result
---
### For Task Executors (DevBox, Azure VMs)
Ralph automatically watches `.squad/cross-machine/tasks/` for work targeted at this machine.
**On each cycle (5-10 min):**
```python
# Pseudo-code (Ralph implementation)
1. git pull origin main
2. Load all .yaml files in .squad/cross-machine/tasks/
3. Filter for status=pending AND target_machine=HOSTNAME
4. For each task:
a. Validate schema (must have: id, source_machine, target_machine, payload)
b. Validate command against whitelist
c. Execute task (with timeout)
d. Write result to .squad/cross-machine/results/{id}.yaml
e. Commit & push result
```
---
### For Urgent/Ad-Hoc Tasks
**Use GitHub Issues with `squad:machine-{name}` label:**
```bash
# Create issue
gh issue create \
--title "GPU: Clone voice profile from sample.wav" \
--body "Execute voice cloning on DevBox. Input: /path/to/voice-input.wav" \
--label "squad:machine-devbox" \
--label "urgent"
```
Ralph on DevBox will:
1. Detect issue with `squad:machine-devbox` label
2. Parse task from issue body
3. Execute task
4. Comment with result
5. Close issue
---
## File Formats
### Task File (YAML)
**Location:** `.squad/cross-machine/tasks/{timestamp}-{machine}-{task-id}.yaml`
**Required Fields:**
```yaml
id: {task-id} # Unique identifier (alphanumeric + dash)
source_machine: {hostname} # Where task was created
target_machine: {hostname} # Where task will execute
priority: high|normal|low # Execution priority
created_at: 2026-03-14T15:30:00Z # ISO 8601 timestamp
task_type: gpu_workload|script|... # Category
payload:
command: "..." # Shell command to execute
expected_duration_min: 15 # Timeout (minutes)
resources:
gpu: true|false
memory_gb: 8
cpu_cores: 4
status: pending|executing|completed|failed
```
**Optional Fields:**
```yaml
description: "Human-readable task description"
timeout_override_min: 120 # Override default timeout
retry_count: 3 # Retry failed tasks
```
### Result File (YAML)
**Location:** `.squad/cross-machine/results/{task-id}.yaml`
```yaml
id: {task-id} # Links back to task
target_machine: devbox # Executed on
completed_at: 2026-03-14T15:45:00Z # When it finished
status: completed|failed|timeout # Outcome
exit_code: 0 # Shell exit code
stdout: "..." # Captured output
stderr: "..." # Captured errors
duration_seconds: 900 # How long it took
artifacts:
- path: "/path/to/artifacts/..." # Location of results
type: audio|text|model|...
size_mb: 2.5
```
---
## Security Model
### Validation Pipeline
All tasks go through:
1. **Schema Validation**
- YAML structure matches spec
- Required fields present
- No unexpected fields (reject)
2. **Command Whitelist**
- Only approved commands allowed
- Path validation (no `../../` escapes)
- Environment variable sanitization
- No inline shell operators (`&&`, `|`, `>`)
3. **Resource Limits**
- Timeout enforced (default: 60 min)
- Memory cap: 16GB (adjustable)
- CPU threads: 4 (adjustable)
- Disk write: 100GB (adjustable)
4. **Execution Isolation**
- Runs as unprivileged user
- Temp directory cleaned after execution
- Network access: read-only (no outbound writes)
5. **Audit Trail**
- All executions logged to git
- Commit signed with Ralph's key
- Result stored immutably
### Threat Mitigations
| Threat | Mitigation |
|--------|-----------|
| **Malicious task injection** | Branch protection + PR review before merge |
| **Credential leakage** | Pre-commit secret scan + environment scrubbing |
| **Resource exhaustion** | Timeout + memory limits |
| **Code injection** | Command whitelist + no shell evaluation |
| **Result tampering** | Git commit history is immutable |
---
## Configuration
Ralph reads config from `.squad/config.json`:
```json
{
"cross_machine": {
"enabled": true,
"poll_interval_seconds": 300,
"this_machine": "devbox",
"max_concurrent_tasks": 2,
"task_timeout_minutes": 60,
"command_whitelist": [
"python scripts/voice-clone.py",
"python scripts/data-process.py",
"bash scripts/cleanup.sh"
],
"result_ttl_days": 30
}
}
```
---
## Examples
### Example 1: GPU Voice Cloning (Laptop → DevBox)
**1. Laptop creates task:**
```yaml
# .squad/cross-machine/tasks/2026-03-14T1530Z-laptop-gpu-001.yaml
id: gpu-voice-clone-001
source_machine: laptop-machine
target_machine: devbox
priority: high
created_at: 2026-03-14T15:30:00Z
task_type: gpu_workload
payload:
command: "python scripts/voice-clone.py --input voice.wav --output cloned.wav"
expected_duration_min: 15
resources:
gpu: true
memory_gb: 8
status: pending
```
**2. Laptop commits & pushes:**
```bash
git add .squad/cross-machine/tasks/
git commit -m "Task: GPU voice cloning [squad:machine-devbox]"
git push origin main
```
**3. DevBox Ralph (5 min later):**
```
[Ralph Watch Cycle]
- Pulled origin/main
- Detected: gpu-voice-clone-001 (status: pending, target: devbox)
- Validation: ✅ Schema OK, command whitelisted
- Executing: python scripts/voice-clone.py ...
- [15 minutes of processing]
- Completed: exit code 0
- Writing result...
- Committing & pushing...
```
**4. Laptop Ralph (next cycle) sees result:**
```yaml
# .squad/cross-machine/results/gpu-voice-clone-001.yaml
id: gpu-voice-clone-001
target_machine: devbox
completed_at: 2026-03-14T15:45:00Z
status: completed
exit_code: 0
stdout: "Voice cloning completed. Output written to /tmp/cloned.wav"
stderr: ""
duration_seconds: 900
artifacts:
- path: "/path/to/artifacts/voice-clone-001/output.wav"
type: audio
size_mb: 2.5
```
---
### Example 2: Urgent Debug Request (Human → DevBox via Issue)
**Create issue:**
```bash
gh issue create \
--title "DevBox: Debug voice model failure" \
--body "Error: Model failed to load on last run. Please check /tmp/model.log and report findings." \
--label "squad:machine-devbox" \
--label "urgent"
```
**DevBox Ralph detects → executes → comments:**
```
✅ Executed on devbox at 2026-03-14 15:47:00
Command: python scripts/debug-model.py
Result:
------
Model file: /tmp/model-v2.bin (OK)
Checksum: a1b2c3d4e5f6 (matches expected)
Memory available: 12 GB (sufficient)
ERROR FOUND: Config file permission issue
- File: ~/.config/voice/model.yaml
- Permissions: -rw------- (owner-only)
- Expected: -rw-r--r-- (world-readable for service)
FIX: Run: chmod 644 ~/.config/voice/model.yaml
```
---
## Error Handling
### Task Execution Failures
If a task fails (exit code != 0):
1. Result written with `status: failed` + exit code
2. stderr captured in result
3. Committed to git for audit
4. Source machine can retry by re-pushing task with `status: pending`
### Stalled Tasks
If a task doesn't complete within timeout:
1. Process killed
2. Result written with `status: timeout`
3. stderr: "Execution exceeded X minutes"
4. Source can investigate or retry
### Network Failures
If git push/pull fails:
- Ralph retries on next cycle
- Tasks queue locally until connectivity restored
- No tasks lost (stored in local repo)
---
## Monitoring & Debugging
### Check Task Queue
```bash
ls -la .squad/cross-machine/tasks/
cat .squad/cross-machine/tasks/*.yaml | grep -E "^(id|status|target_machine):"
```
### Check Results
```bash
ls -la .squad/cross-machine/results/
cat .squad/cross-machine/results/{task-id}.yaml
```
### View Execution History
```bash
git log --oneline .squad/cross-machine/ | head -20
```
### Monitor Ralph Cycles
```bash
tail -f .squad/log/ralph-watch.log | grep "cross-machine"
```
---
## Integration with Ralph Watch
Ralph automatically includes this pattern in its watch loop:
```
Ralph Watch Cycle (every 5-10 min):
1. Fetch GitHub issues with squad:machine-* labels
2. Poll .squad/cross-machine/tasks/
3. For each matching task:
- Validate
- Execute
- Write result
- Commit & push
4. Update status in issue (if applicable)
5. Sleep until next cycle
```
No manual Ralph configuration needed — just create task files or issues with the right labels.
---
## Migration from Manual Handoff
**Before (today):**
- Laptop → user manually copies file to Teams chat
- user pastes into target terminal
- user copies output back
- user pastes result manually
**After (with this pattern):**
- Laptop Ralph writes task file → git push
- DevBox Ralph auto-executes → git push result
- Laptop Ralph auto-reads result
- 0 human intervention needed
---
## Future Enhancements
Potential expansions (Phase 2+):
1. **Task Priorities:** Execution order based on priority field
2. **Serial Pipelines:** Machine A → B → C task chains
3. **GPU Availability Polling:** Query DevBox before submitting work
4. **Cost Tracking:** Log resource usage per task
5. **Notification Webhooks:** Alert on task completion
6. **Web Dashboard:** Real-time task status visualization
---
## Questions?
Refer to research report: `research/active/cross-machine-agents/README.md`
Contact: the research and documentation owner or Ralph (Work Monitor)
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