{
  "schemaVersion": "1.0",
  "item": {
    "slug": "ralph-evolver",
    "name": "Ralph Evolver",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/hsssgdtc/ralph-evolver",
    "canonicalUrl": "https://clawhub.ai/hsssgdtc/ralph-evolver",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/ralph-evolver",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ralph-evolver",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "evolve.js",
      "evolve.test.js",
      "index.js",
      "package.json"
    ],
    "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. 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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "slug": "ralph-evolver",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-03T09:08:59.370Z",
      "expiresAt": "2026-05-10T09:08:59.370Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ralph-evolver",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ralph-evolver",
        "contentDisposition": "attachment; filename=\"ralph-evolver-1.0.6.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "ralph-evolver"
      },
      "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/ralph-evolver"
    },
    "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/ralph-evolver",
    "agentPageUrl": "https://openagent3.xyz/skills/ralph-evolver/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ralph-evolver/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ralph-evolver/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": "🧬 Ralph-Evolver",
        "body": "Philosophy: Recursion + Emergence + First Principles"
      },
      {
        "title": "Signal Sources",
        "body": "Collects multi-dimensional context, not just code structure:\n\nCommit history - Understand the \"why\" behind changes\nTODO/FIXME - Distress signals in the code\nError handling patterns - Find fragile points\nHotspot files - Frequent changes = design problems\n\nEach signal includes a hypothesis prompt to guide deeper analysis."
      },
      {
        "title": "First Principles",
        "body": "Each run doesn't execute a checklist, but asks:\n\nWhat is the essence of this project?\nWhat is it doing that it shouldn't?\nWhat is it missing that it should have?\nIf you started from scratch, how would you build it?"
      },
      {
        "title": "Meta-Reflection (v1.0.5)",
        "body": "When analyzing itself, evolver asks:\n\nIs this a surface fix or evolution-level improvement?\nWhat pattern exists in improvement history?\nWill this change make evolver better at finding problems?"
      },
      {
        "title": "Improvement Tracking",
        "body": "Records description, insight, level (surface/evolution), and health metrics\nPattern analysis: counts surface/evolution ratio, finds recurring themes\nCompares before/after effect trends (improved/degraded/unchanged)"
      },
      {
        "title": "Usage",
        "body": "node index.js .                    # Current directory (positional)\nnode index.js /path/to/app         # Specify path\nnode index.js . --loop 5           # Run 5 cycles\nnode index.js --task \"fix auth\"    # Specific task\nnode index.js --reset              # Reset iteration state"
      },
      {
        "title": "Recursion",
        "body": "The improver can improve itself. This is true recursion.\n\n\"Form hypotheses, then verify. Think from first principles.\""
      }
    ],
    "body": "🧬 Ralph-Evolver\n\nPhilosophy: Recursion + Emergence + First Principles\n\nSignal Sources\n\nCollects multi-dimensional context, not just code structure:\n\nCommit history - Understand the \"why\" behind changes\nTODO/FIXME - Distress signals in the code\nError handling patterns - Find fragile points\nHotspot files - Frequent changes = design problems\n\nEach signal includes a hypothesis prompt to guide deeper analysis.\n\nFirst Principles\n\nEach run doesn't execute a checklist, but asks:\n\nWhat is the essence of this project?\nWhat is it doing that it shouldn't?\nWhat is it missing that it should have?\nIf you started from scratch, how would you build it?\nMeta-Reflection (v1.0.5)\n\nWhen analyzing itself, evolver asks:\n\nIs this a surface fix or evolution-level improvement?\nWhat pattern exists in improvement history?\nWill this change make evolver better at finding problems?\nImprovement Tracking\nRecords description, insight, level (surface/evolution), and health metrics\nPattern analysis: counts surface/evolution ratio, finds recurring themes\nCompares before/after effect trends (improved/degraded/unchanged)\nUsage\nnode index.js .                    # Current directory (positional)\nnode index.js /path/to/app         # Specify path\nnode index.js . --loop 5           # Run 5 cycles\nnode index.js --task \"fix auth\"    # Specific task\nnode index.js --reset              # Reset iteration state\n\nRecursion\n\nThe improver can improve itself. This is true recursion.\n\n\"Form hypotheses, then verify. Think from first principles.\""
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/hsssgdtc/ralph-evolver",
    "publisherUrl": "https://clawhub.ai/hsssgdtc/ralph-evolver",
    "owner": "hsssgdtc",
    "version": "1.0.6",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/ralph-evolver",
    "downloadUrl": "https://openagent3.xyz/downloads/ralph-evolver",
    "agentUrl": "https://openagent3.xyz/skills/ralph-evolver/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ralph-evolver/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ralph-evolver/agent.md"
  }
}