{
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  "item": {
    "slug": "adaptivetest-skill",
    "name": "Adaptivetest Skill",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/woodstocksoftware/adaptivetest-skill",
    "canonicalUrl": "https://clawhub.ai/woodstocksoftware/adaptivetest-skill",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/adaptivetest-skill",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=adaptivetest-skill",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "CHANGELOG.md",
      "CLAUDE.md",
      "README.md",
      "SKILL.md",
      "clawhub.json",
      "references/adaptive-testing.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "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": [
        {
          "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
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      "status": "healthy",
      "reason": "direct_download_ok",
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      "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/adaptivetest-skill"
    },
    "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/adaptivetest-skill",
    "agentPageUrl": "https://openagent3.xyz/skills/adaptivetest-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/adaptivetest-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/adaptivetest-skill/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "AdaptiveTest",
        "body": "Production-grade adaptive testing API. Uses Item Response Theory (IRT 2PL/3PL) with Computerized Adaptive Testing (CAT) to deliver precise ability estimates in fewer questions. Includes AI-powered question generation and personalized learning recommendations."
      },
      {
        "title": "When to Use This Skill",
        "body": "Use AdaptiveTest when the user needs to:\n\nCreate or manage assessments and tests\nRun adaptive testing sessions that select questions based on student ability\nGenerate assessment questions by topic, difficulty, or academic standard\nGet personalized learning recommendations for students\nCalibrate test items using IRT parameter estimation\nManage students, classes, and enrollments\nAnalyze test results and track student mastery"
      },
      {
        "title": "Authentication",
        "body": "All requests require the X-API-Key header:\n\nX-API-Key: ${ADAPTIVETEST_API_KEY}\n\nBase URL: https://adaptivetest-platform-production.up.railway.app/api"
      },
      {
        "title": "1. Create and Administer an Adaptive Test",
        "body": "POST /tests              -- Create a test (set cat_enabled: true)\nPOST /tests/{id}/items   -- Add items to the test\nPOST /tests/{id}/sessions -- Start an adaptive session for a student\nGET  /sessions/{id}/next-item -- Get the next CAT-selected item\nPOST /sessions/{id}/responses -- Submit student response\nGET  /sessions/{id}/results   -- Get ability estimate and results\n\nThe CAT engine selects items using maximum Fisher information. Ability is estimated after each response using IRT 2PL or 3PL models. Sessions terminate when the standard error drops below threshold or max items are reached."
      },
      {
        "title": "2. Generate Questions with AI",
        "body": "POST /gen-q -- Generate questions by topic, difficulty, and standard\n\nRequest body:\n\n{\n  \"topic\": \"Quadratic equations\",\n  \"difficulty\": \"medium\",\n  \"count\": 5,\n  \"standard\": \"CCSS.MATH.CONTENT.HSA.REI.B.4\",\n  \"format\": \"multiple_choice\"\n}\n\nReturns QTI 3.0-compatible items with stems, distractors, and rationales. Generation takes ~7 seconds."
      },
      {
        "title": "3. Get Learning Recommendations",
        "body": "POST /recs -- Get personalized learning recommendations for a student\n\nRequest body:\n\n{\n  \"student_id\": \"student-uuid\",\n  \"subject\": \"Mathematics\",\n  \"include_resources\": true\n}\n\nReturns a personalized learning plan based on the student's ability profile and assessment history. Generation takes ~25 seconds."
      },
      {
        "title": "4. Calibrate Test Items",
        "body": "POST /tests/{id}/calibrate -- Run IRT calibration on collected response data\n\nRequires sufficient response data (minimum 30 responses per item recommended). Returns IRT parameters: difficulty (b), discrimination (a), and guessing (c) for 3PL."
      },
      {
        "title": "5. Manage Students and Classes",
        "body": "POST /students           -- Create a student\nGET  /students           -- List students\nPOST /classes            -- Create a class\nPOST /classes/{id}/enroll -- Enroll students in a class\n\nOneRoster 1.2 compatible for SIS integration."
      },
      {
        "title": "6. View Results and Analytics",
        "body": "GET /sessions/{id}/results       -- Detailed session results with ability estimate\nGET /students/{id}/history       -- Assessment history for a student\nGET /tests/{id}/analytics        -- Item-level analytics for a test"
      },
      {
        "title": "Rate Limits",
        "body": "Rate limits depend on your API key tier. Check X-RateLimit-Remaining header on each response."
      },
      {
        "title": "Error Handling",
        "body": "All errors return JSON with a detail field:\n\n{\"detail\": \"Human-readable error message\"}\n\nCommon status codes: 400 (validation), 401 (auth), 403 (limit exceeded), 404 (not found), 429 (rate limited)."
      },
      {
        "title": "Reference Documentation",
        "body": "For detailed endpoint specifications, request/response shapes, and IRT/CAT concepts, see the references/ directory:\n\nreferences/api-endpoints.md -- Full endpoint reference\nreferences/adaptive-testing.md -- IRT and CAT concepts\nreferences/calibration.md -- Item calibration guide"
      }
    ],
    "body": "AdaptiveTest\n\nProduction-grade adaptive testing API. Uses Item Response Theory (IRT 2PL/3PL) with Computerized Adaptive Testing (CAT) to deliver precise ability estimates in fewer questions. Includes AI-powered question generation and personalized learning recommendations.\n\nWhen to Use This Skill\n\nUse AdaptiveTest when the user needs to:\n\nCreate or manage assessments and tests\nRun adaptive testing sessions that select questions based on student ability\nGenerate assessment questions by topic, difficulty, or academic standard\nGet personalized learning recommendations for students\nCalibrate test items using IRT parameter estimation\nManage students, classes, and enrollments\nAnalyze test results and track student mastery\nAuthentication\n\nAll requests require the X-API-Key header:\n\nX-API-Key: ${ADAPTIVETEST_API_KEY}\n\n\nBase URL: https://adaptivetest-platform-production.up.railway.app/api\n\nCore Workflows\n1. Create and Administer an Adaptive Test\nPOST /tests              -- Create a test (set cat_enabled: true)\nPOST /tests/{id}/items   -- Add items to the test\nPOST /tests/{id}/sessions -- Start an adaptive session for a student\nGET  /sessions/{id}/next-item -- Get the next CAT-selected item\nPOST /sessions/{id}/responses -- Submit student response\nGET  /sessions/{id}/results   -- Get ability estimate and results\n\n\nThe CAT engine selects items using maximum Fisher information. Ability is estimated after each response using IRT 2PL or 3PL models. Sessions terminate when the standard error drops below threshold or max items are reached.\n\n2. Generate Questions with AI\nPOST /gen-q -- Generate questions by topic, difficulty, and standard\n\n\nRequest body:\n\n{\n  \"topic\": \"Quadratic equations\",\n  \"difficulty\": \"medium\",\n  \"count\": 5,\n  \"standard\": \"CCSS.MATH.CONTENT.HSA.REI.B.4\",\n  \"format\": \"multiple_choice\"\n}\n\n\nReturns QTI 3.0-compatible items with stems, distractors, and rationales. Generation takes ~7 seconds.\n\n3. Get Learning Recommendations\nPOST /recs -- Get personalized learning recommendations for a student\n\n\nRequest body:\n\n{\n  \"student_id\": \"student-uuid\",\n  \"subject\": \"Mathematics\",\n  \"include_resources\": true\n}\n\n\nReturns a personalized learning plan based on the student's ability profile and assessment history. Generation takes ~25 seconds.\n\n4. Calibrate Test Items\nPOST /tests/{id}/calibrate -- Run IRT calibration on collected response data\n\n\nRequires sufficient response data (minimum 30 responses per item recommended). Returns IRT parameters: difficulty (b), discrimination (a), and guessing (c) for 3PL.\n\n5. Manage Students and Classes\nPOST /students           -- Create a student\nGET  /students           -- List students\nPOST /classes            -- Create a class\nPOST /classes/{id}/enroll -- Enroll students in a class\n\n\nOneRoster 1.2 compatible for SIS integration.\n\n6. View Results and Analytics\nGET /sessions/{id}/results       -- Detailed session results with ability estimate\nGET /students/{id}/history       -- Assessment history for a student\nGET /tests/{id}/analytics        -- Item-level analytics for a test\n\nRate Limits\n\nRate limits depend on your API key tier. Check X-RateLimit-Remaining header on each response.\n\nError Handling\n\nAll errors return JSON with a detail field:\n\n{\"detail\": \"Human-readable error message\"}\n\n\nCommon status codes: 400 (validation), 401 (auth), 403 (limit exceeded), 404 (not found), 429 (rate limited).\n\nReference Documentation\n\nFor detailed endpoint specifications, request/response shapes, and IRT/CAT concepts, see the references/ directory:\n\nreferences/api-endpoints.md -- Full endpoint reference\nreferences/adaptive-testing.md -- IRT and CAT concepts\nreferences/calibration.md -- Item calibration guide"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/woodstocksoftware/adaptivetest-skill",
    "publisherUrl": "https://clawhub.ai/woodstocksoftware/adaptivetest-skill",
    "owner": "woodstocksoftware",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/adaptivetest-skill",
    "agentUrl": "https://openagent3.xyz/skills/adaptivetest-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/adaptivetest-skill/agent.json",
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}