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)
来源信息
- 仓库
- TeoSlayer/pilot-skills
- 最近来源活动
- 2026年4月20日 17:42
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 8
- 分支
- 2
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- 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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