# Send Ml Experiment Tracker to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "ml-experiment-tracker",
    "name": "Ml Experiment Tracker",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/0x-Professor/ml-experiment-tracker",
    "canonicalUrl": "https://clawhub.ai/0x-Professor/ml-experiment-tracker",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/ml-experiment-tracker",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ml-experiment-tracker",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "agents/openai.yaml",
      "references/tracking-guide.md",
      "scripts/build_experiment_plan.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "ml-experiment-tracker",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-02T10:48:15.182Z",
      "expiresAt": "2026-05-09T10:48:15.182Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ml-experiment-tracker",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ml-experiment-tracker",
        "contentDisposition": "attachment; filename=\"ml-experiment-tracker-0.1.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "ml-experiment-tracker"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/ml-experiment-tracker"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/ml-experiment-tracker",
    "downloadUrl": "https://openagent3.xyz/downloads/ml-experiment-tracker",
    "agentUrl": "https://openagent3.xyz/skills/ml-experiment-tracker/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ml-experiment-tracker/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ml-experiment-tracker/agent.md"
  }
}
```
## Documentation

### Overview

Generate structured experiment plans that can be logged consistently in experiment tracking systems.

### Workflow

Define dataset, target task, model family, and parameter search space.
Define metrics and acceptance thresholds before training.
Produce run plan with version and artifact expectations.
Export the run plan for execution in tracking tools.

### Use Bundled Resources

Run scripts/build_experiment_plan.py to generate consistent run plans.
Read references/tracking-guide.md for reproducibility checklist.

### Guardrails

Keep inputs explicit and machine-readable.
Always include metrics and baseline criteria.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 0x-Professor
- Version: 0.1.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-02T10:48:15.182Z
- Expires at: 2026-05-09T10:48:15.182Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/ml-experiment-tracker)
- [Send to Agent page](https://openagent3.xyz/skills/ml-experiment-tracker/agent)
- [JSON manifest](https://openagent3.xyz/skills/ml-experiment-tracker/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/ml-experiment-tracker/agent.md)
- [Download page](https://openagent3.xyz/downloads/ml-experiment-tracker)