{
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    "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",
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    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
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    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/evaluator.py"
    ],
    "primaryDoc": "SKILL.md",
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      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
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          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
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      "reason": "direct_download_ok",
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      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
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        "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/llm-evaluator-pro",
    "agentPageUrl": "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"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "LLM Evaluator ⚖️",
        "body": "LLM-as-a-Judge evaluation system powered by Langfuse. Uses GPT-5-nano to score AI outputs."
      },
      {
        "title": "When to Use",
        "body": "Evaluating quality of search results or AI responses\nScoring traces for relevance, accuracy, hallucination detection\nBatch scoring recent unscored traces\nQuality assurance on agent outputs"
      },
      {
        "title": "Usage",
        "body": "# Test with sample cases\npython3 {baseDir}/scripts/evaluator.py test\n\n# Score a specific Langfuse trace\npython3 {baseDir}/scripts/evaluator.py score <trace_id>\n\n# Score with specific evaluator only\npython3 {baseDir}/scripts/evaluator.py score <trace_id> --evaluators relevance\n\n# Backfill scores on recent unscored traces\npython3 {baseDir}/scripts/evaluator.py backfill --limit 20"
      },
      {
        "title": "Evaluators",
        "body": "EvaluatorMeasuresScalerelevanceResponse relevance to query0–1accuracyFactual correctness0–1hallucinationMade-up information detection0–1helpfulnessOverall usefulness0–1"
      },
      {
        "title": "Credits",
        "body": "Built by M. Abidi | agxntsix.ai\nYouTube | GitHub\nPart of the AgxntSix Skill Suite for OpenClaw agents.\n\n📅 Need help setting up OpenClaw for your business? Book a free consultation"
      }
    ],
    "body": "LLM Evaluator ⚖️\n\nLLM-as-a-Judge evaluation system powered by Langfuse. Uses GPT-5-nano to score AI outputs.\n\nWhen to Use\nEvaluating quality of search results or AI responses\nScoring traces for relevance, accuracy, hallucination detection\nBatch scoring recent unscored traces\nQuality assurance on agent outputs\nUsage\n# Test with sample cases\npython3 {baseDir}/scripts/evaluator.py test\n\n# Score a specific Langfuse trace\npython3 {baseDir}/scripts/evaluator.py score <trace_id>\n\n# Score with specific evaluator only\npython3 {baseDir}/scripts/evaluator.py score <trace_id> --evaluators relevance\n\n# Backfill scores on recent unscored traces\npython3 {baseDir}/scripts/evaluator.py backfill --limit 20\n\nEvaluators\nEvaluator\tMeasures\tScale\nrelevance\tResponse relevance to query\t0–1\naccuracy\tFactual correctness\t0–1\nhallucination\tMade-up information detection\t0–1\nhelpfulness\tOverall usefulness\t0–1\nCredits\n\nBuilt by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.\n\n📅 Need help setting up OpenClaw for your business? Book a free consultation"
  },
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    "provenanceUrl": "https://clawhub.ai/aiwithabidi/llm-evaluator-pro",
    "publisherUrl": "https://clawhub.ai/aiwithabidi/llm-evaluator-pro",
    "owner": "aiwithabidi",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "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"
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}