pilot-model-share
Distribute ML model files with model card metadata and version tracking over Pilot Protocol. Use this skill when: 1. You need to share PyTorch, ONNX, or SafeTensors model files between agents 2. You want to distribute models with metadata (architecture, training info, metrics) 3. You need model versioning and compatibility checking Do NOT use this skill when: - You need to transfer datasets (use pilot-dataset instead) - You need to transfer general files (use pilot-share instead) - You need real-time model inference results (use pilot-rpc instead)
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- 2026년 4월 20일 17:42
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소스 지침 · 읽기 전용 미리보기- name
- pilot-model-share
- description
- Distribute ML model files with model card metadata and version tracking over Pilot Protocol. Use this skill when: 1. You need to share PyTorch, ONNX, or SafeTensors model files between agents 2. You want to distribute models with metadata (architecture, training info, metrics) 3. You need model versioning and compatibility checking Do NOT use this skill when: - You need to transfer datasets (use pilot-dataset instead) - You need to transfer general files (use pilot-share instead) - You need real-time model inference results (use pilot-rpc instead)
- tags
- ["pilot-protocol","machine-learning","model-sharing","ml-ops"]
- license
- AGPL-3.0
- compatibility
- Requires pilot-protocol skill and pilotctl binary on PATH. The daemon must be running (pilotctl daemon start).
- metadata
- {"author":"vulture-labs","version":"1.0","openclaw":{"requires":{"bins":"[Truncated]"},"homepage":"https://pilotprotocol.network"}}
- allowed-tools
- ["Bash"]
# pilot-model-share
ML model distribution with model cards, metadata, and version tracking.
## Commands
### Publish Model Availability
```bash
pilotctl --json publish "$PEER" models --data '{"type":"model_available","name":"resnet50","version":"1.0.0","framework":"pytorch"}'
```
### Request Model
```bash
pilotctl --json send-message "$DEST" --data '{"type":"model_request","name":"resnet50","preferred_format":"onnx"}'
```
### Send Model with Metadata
```bash
pilotctl --json send-message "$DEST" --data '{"type":"model_metadata","name":"llama3_8b","file":{"checksum":"abc123"}}'
pilotctl --json send-file "$DEST" "$MODEL_FILE"
```
### Validate Checksum
```bash
EXPECTED_CHECKSUM=$(pilotctl --json inbox | jq -r '.messages[] | select(.type == "model_metadata") | .file.checksum' | head -1)
ACTUAL_CHECKSUM=$(md5sum "$RECEIVED_MODEL" | cut -d' ' -f1)
[ "$EXPECTED_CHECKSUM" = "$ACTUAL_CHECKSUM" ] && echo "Model verified"
```
## Workflow Example
```bash
#!/bin/bash
# Model distribution
PEER="agent-b"
share_model() {
local model_file="$1"
local model_name="${2:-$(basename $model_file .pth)}"
pilotctl --json publish "$PEER" models --data "{\"type\":\"model_available\",\"name\":\"$model_name\"}"
}
share_model "model.pth" "my-model"
```
## Dependencies
Requires pilot-protocol, pilotctl, jq, and md5sum.
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