{
  "schemaVersion": "1.0",
  "item": {
    "slug": "semfind",
    "name": "semfind",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/PaperBoardOfficial/semfind",
    "canonicalUrl": "https://clawhub.ai/PaperBoardOfficial/semfind",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/semfind",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=semfind",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.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. 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",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:22:31.273Z",
      "expiresAt": "2026-05-14T17:22:31.273Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
        "contentDisposition": "attachment; filename=\"afrexai-annual-report-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/semfind"
    },
    "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/semfind",
    "agentPageUrl": "https://openagent3.xyz/skills/semfind/agent",
    "manifestUrl": "https://openagent3.xyz/skills/semfind/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/semfind/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": "semfind",
        "body": "Semantic grep for the terminal. Searches files by meaning using local embeddings (BAAI/bge-small-en-v1.5 + FAISS). No API keys needed."
      },
      {
        "title": "When to reach for semfind",
        "body": "grep or ripgrep returned no results or irrelevant results\nYou don't know the exact wording of what you're looking for\nYou want to search by concept/meaning rather than exact text\n\nDo NOT use semfind when grep works — grep is instant and has zero overhead."
      },
      {
        "title": "Install",
        "body": "pip install semfind\n\nFirst run downloads a ~65MB model (~10-30s). Subsequent runs use the cached model."
      },
      {
        "title": "Usage",
        "body": "# Basic search\nsemfind \"deployment issue\" logs.md\n\n# Search multiple files, top 3 results\nsemfind \"permission error\" memory/*.md -k 3\n\n# With context lines\nsemfind \"database migration\" notes.md -n 2\n\n# Force re-index after file changes\nsemfind \"query\" file.md --reindex\n\n# Minimum similarity threshold\nsemfind \"auth bug\" *.md -m 0.5"
      },
      {
        "title": "Options",
        "body": "FlagDescriptionDefault-k, --top-kNumber of results5-n, --contextContext lines before/after0-m, --max-distanceMinimum similarity scorenone--reindexForce re-embedfalse--no-cacheSkip embedding cachefalse"
      },
      {
        "title": "Output format",
        "body": "Grep-like with similarity scores:\n\nfile.md:9: [2026-01-15] Fixed docker build with missing env vars  (0.796)\nfile.md:3: [2026-01-17] Agent couldn't write to /var/log          (0.689)\n\nHigher scores (closer to 1.0) mean stronger semantic match."
      },
      {
        "title": "Resource usage",
        "body": "~250MB RAM while running, freed immediately on exit\n~65MB model cached in /tmp/fastembed_cache/\n~2s first query (model load), ~14ms cached queries\nEmbedding cache in ~/.cache/semfind/, auto-invalidates on file changes"
      },
      {
        "title": "Workflow pattern",
        "body": "# Step 1: Try grep first\ngrep \"deployment\" memory/*.md\n\n# Step 2: If grep fails, use semfind\nsemfind \"something went wrong with the deployment\" memory/*.md -k 5"
      }
    ],
    "body": "semfind\n\nSemantic grep for the terminal. Searches files by meaning using local embeddings (BAAI/bge-small-en-v1.5 + FAISS). No API keys needed.\n\nWhen to reach for semfind\ngrep or ripgrep returned no results or irrelevant results\nYou don't know the exact wording of what you're looking for\nYou want to search by concept/meaning rather than exact text\n\nDo NOT use semfind when grep works — grep is instant and has zero overhead.\n\nInstall\npip install semfind\n\n\nFirst run downloads a ~65MB model (~10-30s). Subsequent runs use the cached model.\n\nUsage\n# Basic search\nsemfind \"deployment issue\" logs.md\n\n# Search multiple files, top 3 results\nsemfind \"permission error\" memory/*.md -k 3\n\n# With context lines\nsemfind \"database migration\" notes.md -n 2\n\n# Force re-index after file changes\nsemfind \"query\" file.md --reindex\n\n# Minimum similarity threshold\nsemfind \"auth bug\" *.md -m 0.5\n\nOptions\nFlag\tDescription\tDefault\n-k, --top-k\tNumber of results\t5\n-n, --context\tContext lines before/after\t0\n-m, --max-distance\tMinimum similarity score\tnone\n--reindex\tForce re-embed\tfalse\n--no-cache\tSkip embedding cache\tfalse\nOutput format\n\nGrep-like with similarity scores:\n\nfile.md:9: [2026-01-15] Fixed docker build with missing env vars  (0.796)\nfile.md:3: [2026-01-17] Agent couldn't write to /var/log          (0.689)\n\n\nHigher scores (closer to 1.0) mean stronger semantic match.\n\nResource usage\n~250MB RAM while running, freed immediately on exit\n~65MB model cached in /tmp/fastembed_cache/\n~2s first query (model load), ~14ms cached queries\nEmbedding cache in ~/.cache/semfind/, auto-invalidates on file changes\nWorkflow pattern\n# Step 1: Try grep first\ngrep \"deployment\" memory/*.md\n\n# Step 2: If grep fails, use semfind\nsemfind \"something went wrong with the deployment\" memory/*.md -k 5"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/PaperBoardOfficial/semfind",
    "publisherUrl": "https://clawhub.ai/PaperBoardOfficial/semfind",
    "owner": "PaperBoardOfficial",
    "version": "0.1.2",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/semfind",
    "downloadUrl": "https://openagent3.xyz/downloads/semfind",
    "agentUrl": "https://openagent3.xyz/skills/semfind/agent",
    "manifestUrl": "https://openagent3.xyz/skills/semfind/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/semfind/agent.md"
  }
}