{
  "schemaVersion": "1.0",
  "item": {
    "slug": "whisnap",
    "name": "Whisnap",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Neolio42/whisnap",
    "canonicalUrl": "https://clawhub.ai/Neolio42/whisnap",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/whisnap",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=whisnap",
    "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/whisnap"
    },
    "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/whisnap",
    "agentPageUrl": "https://openagent3.xyz/skills/whisnap/agent",
    "manifestUrl": "https://openagent3.xyz/skills/whisnap/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/whisnap/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": "whisnap",
        "body": "Use whisnap for transcribing audio/video files from the terminal. Requires the Whisnap macOS app with at least one model downloaded.\n\nSetup (once)\n\nOpen Whisnap app → Settings → Advanced → Enable CLI (creates /usr/local/bin/whisnap symlink)\nDownload at least one Whisper model in the app\n\nCommon commands\n\nTranscribe audio: whisnap recording.wav\nTranscribe video: whisnap meeting.mp4\nCloud transcription: whisnap recording.wav --cloud\nJSON output with timestamps: whisnap lecture.m4a --json\nSpecific model: whisnap interview.wav -m small-q5_1\nCloud + JSON: whisnap recording.wav --cloud --json\nList downloaded models: whisnap --list-models\nVerbose diagnostics: whisnap recording.wav -v\n\nSupported formats\n\nAudio: WAV, MP3, FLAC, M4A, OGG\nVideo: MP4, MOV, MKV, WebM\n\nFlags\n\n-c, --cloud — Use Whisnap Cloud instead of local model (requires sign-in)\n-m, --model <ID> — Override model (e.g., small-q5_1). Defaults to app's selected model.\n-j, --json — Structured JSON output with text, segments, timestamps, model info\n-v, --verbose — Print progress and diagnostics to stderr\n--list-models — List available models and exit\n\nJSON output format\n\n{\n  \"text\": \"transcribed text\",\n  \"segments\": [{ \"start_ms\": 0, \"end_ms\": 1000, \"text\": \"segment\" }],\n  \"model\": \"small-q5_1\",\n  \"backend\": \"whisper\",\n  \"processing_time_ms\": 5000\n}\n\nNotes\n\nThe CLI reuses models and settings from the Whisnap app (~/Library/Application Support/com.whisnap.desktop/).\nCloud mode requires authentication — sign in via the app first.\nFor scripting, use --json and pipe stdout. Diagnostics go to stderr.\nExit code 0 = success, 1 = error.\nOnly Whisper models are supported in CLI mode (not Parakeet).\nConfirm the file path exists before transcribing — the CLI validates but does not search."
      }
    ],
    "body": "whisnap\n\nUse whisnap for transcribing audio/video files from the terminal. Requires the Whisnap macOS app with at least one model downloaded.\n\nSetup (once)\n\nOpen Whisnap app → Settings → Advanced → Enable CLI (creates /usr/local/bin/whisnap symlink)\nDownload at least one Whisper model in the app\n\nCommon commands\n\nTranscribe audio: whisnap recording.wav\nTranscribe video: whisnap meeting.mp4\nCloud transcription: whisnap recording.wav --cloud\nJSON output with timestamps: whisnap lecture.m4a --json\nSpecific model: whisnap interview.wav -m small-q5_1\nCloud + JSON: whisnap recording.wav --cloud --json\nList downloaded models: whisnap --list-models\nVerbose diagnostics: whisnap recording.wav -v\n\nSupported formats\n\nAudio: WAV, MP3, FLAC, M4A, OGG\nVideo: MP4, MOV, MKV, WebM\n\nFlags\n\n-c, --cloud — Use Whisnap Cloud instead of local model (requires sign-in)\n-m, --model <ID> — Override model (e.g., small-q5_1). Defaults to app's selected model.\n-j, --json — Structured JSON output with text, segments, timestamps, model info\n-v, --verbose — Print progress and diagnostics to stderr\n--list-models — List available models and exit\n\nJSON output format\n\n{\n  \"text\": \"transcribed text\",\n  \"segments\": [{ \"start_ms\": 0, \"end_ms\": 1000, \"text\": \"segment\" }],\n  \"model\": \"small-q5_1\",\n  \"backend\": \"whisper\",\n  \"processing_time_ms\": 5000\n}\n\n\nNotes\n\nThe CLI reuses models and settings from the Whisnap app (~/Library/Application Support/com.whisnap.desktop/).\nCloud mode requires authentication — sign in via the app first.\nFor scripting, use --json and pipe stdout. Diagnostics go to stderr.\nExit code 0 = success, 1 = error.\nOnly Whisper models are supported in CLI mode (not Parakeet).\nConfirm the file path exists before transcribing — the CLI validates but does not search."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Neolio42/whisnap",
    "publisherUrl": "https://clawhub.ai/Neolio42/whisnap",
    "owner": "Neolio42",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/whisnap",
    "downloadUrl": "https://openagent3.xyz/downloads/whisnap",
    "agentUrl": "https://openagent3.xyz/skills/whisnap/agent",
    "manifestUrl": "https://openagent3.xyz/skills/whisnap/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/whisnap/agent.md"
  }
}