# Send Weights & Biases Monitor 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": "wandb-monitor",
    "name": "Weights & Biases Monitor",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/chrisvoncsefalvay/wandb-monitor",
    "canonicalUrl": "https://clawhub.ai/chrisvoncsefalvay/wandb-monitor",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/wandb-monitor",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=wandb-monitor",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/characterize_run.py",
      "scripts/check_runs.py",
      "scripts/compare_runs.py",
      "scripts/run_details.py",
      "scripts/watch_runs.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/wandb-monitor"
    },
    "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/wandb-monitor",
    "downloadUrl": "https://openagent3.xyz/downloads/wandb-monitor",
    "agentUrl": "https://openagent3.xyz/skills/wandb-monitor/agent",
    "manifestUrl": "https://openagent3.xyz/skills/wandb-monitor/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/wandb-monitor/agent.md"
  }
}
```
## Documentation

### Weights & Biases

Monitor, analyze, and compare W&B training runs.

### Setup

wandb login
# Or set WANDB_API_KEY in environment

### Characterize a Run (Full Health Analysis)

~/clawd/venv/bin/python3 ~/clawd/skills/wandb/scripts/characterize_run.py ENTITY/PROJECT/RUN_ID

Analyzes:

Loss curve trend (start → current, % change, direction)
Gradient norm health (exploding/vanishing detection)
Eval metrics (if present)
Stall detection (heartbeat age)
Progress & ETA estimate
Config highlights
Overall health verdict

Options: --json for machine-readable output.

### Watch All Running Jobs

~/clawd/venv/bin/python3 ~/clawd/skills/wandb/scripts/watch_runs.py ENTITY [--projects p1,p2]

Quick health summary of all running jobs plus recent failures/completions. Ideal for morning briefings.

Options:

--projects p1,p2 — Specific projects to check
--all-projects — Check all projects
--hours N — Hours to look back for finished runs (default: 24)
--json — Machine-readable output

### Compare Two Runs

~/clawd/venv/bin/python3 ~/clawd/skills/wandb/scripts/compare_runs.py ENTITY/PROJECT/RUN_A ENTITY/PROJECT/RUN_B

Side-by-side comparison:

Config differences (highlights important params)
Loss curves at same steps
Gradient norm comparison
Eval metrics
Performance (tokens/sec, steps/hour)
Winner verdict

### Python API Quick Reference

import wandb
api = wandb.Api()

# Get runs
runs = api.runs("entity/project", {"state": "running"})

# Run properties
run.state      # running | finished | failed | crashed | canceled
run.name       # display name
run.id         # unique identifier
run.summary    # final/current metrics
run.config     # hyperparameters
run.heartbeat_at # stall detection

# Get history
history = list(run.scan_history(keys=["train/loss", "train/grad_norm"]))

### Metric Key Variations

Scripts handle these automatically:

Loss: train/loss, loss, train_loss, training_loss
Gradients: train/grad_norm, grad_norm, gradient_norm
Steps: train/global_step, global_step, step, _step
Eval: eval/loss, eval_loss, eval/accuracy, eval_acc

### Health Thresholds

Gradients > 10: Exploding (critical)
Gradients > 5: Spiky (warning)
Gradients < 0.0001: Vanishing (warning)
Heartbeat > 30min: Stalled (critical)
Heartbeat > 10min: Slow (warning)

### Integration Notes

For morning briefings, use watch_runs.py --json and parse the output.

For detailed analysis of a specific run, use characterize_run.py.

For A/B testing or hyperparameter comparisons, use compare_runs.py.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: chrisvoncsefalvay
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/wandb-monitor)
- [Send to Agent page](https://openagent3.xyz/skills/wandb-monitor/agent)
- [JSON manifest](https://openagent3.xyz/skills/wandb-monitor/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/wandb-monitor/agent.md)
- [Download page](https://openagent3.xyz/downloads/wandb-monitor)