# Send LLM Evaluator Pro 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": "llm-evaluator-pro",
    "name": "LLM Evaluator Pro",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/aiwithabidi/llm-evaluator-pro",
    "canonicalUrl": "https://clawhub.ai/aiwithabidi/llm-evaluator-pro",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/llm-evaluator-pro",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=llm-evaluator-pro",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/evaluator.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.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/llm-evaluator-pro"
    },
    "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/llm-evaluator-pro",
    "downloadUrl": "https://openagent3.xyz/downloads/llm-evaluator-pro",
    "agentUrl": "https://openagent3.xyz/skills/llm-evaluator-pro/agent",
    "manifestUrl": "https://openagent3.xyz/skills/llm-evaluator-pro/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/llm-evaluator-pro/agent.md"
  }
}
```
## Documentation

### LLM Evaluator ⚖️

LLM-as-a-Judge evaluation system powered by Langfuse. Uses GPT-5-nano to score AI outputs.

### When to Use

Evaluating quality of search results or AI responses
Scoring traces for relevance, accuracy, hallucination detection
Batch scoring recent unscored traces
Quality assurance on agent outputs

### Usage

# Test with sample cases
python3 {baseDir}/scripts/evaluator.py test

# Score a specific Langfuse trace
python3 {baseDir}/scripts/evaluator.py score <trace_id>

# Score with specific evaluator only
python3 {baseDir}/scripts/evaluator.py score <trace_id> --evaluators relevance

# Backfill scores on recent unscored traces
python3 {baseDir}/scripts/evaluator.py backfill --limit 20

### Evaluators

EvaluatorMeasuresScalerelevanceResponse relevance to query0–1accuracyFactual correctness0–1hallucinationMade-up information detection0–1helpfulnessOverall usefulness0–1

### Credits

Built by M. Abidi | agxntsix.ai
YouTube | GitHub
Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: aiwithabidi
- 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: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/llm-evaluator-pro)
- [Send to Agent page](https://openagent3.xyz/skills/llm-evaluator-pro/agent)
- [JSON manifest](https://openagent3.xyz/skills/llm-evaluator-pro/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/llm-evaluator-pro/agent.md)
- [Download page](https://openagent3.xyz/downloads/llm-evaluator-pro)