{
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  "item": {
    "slug": "feed-diet",
    "name": "feed-diet",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/tkuehnl/feed-diet",
    "canonicalUrl": "https://clawhub.ai/tkuehnl/feed-diet",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/feed-diet",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=feed-diet",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "CHANGELOG.md",
      "README.md",
      "SKILL.md",
      "scripts/classify.sh",
      "scripts/common.sh",
      "scripts/feed-diet.sh"
    ],
    "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": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "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/feed-diet"
    },
    "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/feed-diet",
    "agentPageUrl": "https://openagent3.xyz/skills/feed-diet/agent",
    "manifestUrl": "https://openagent3.xyz/skills/feed-diet/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/feed-diet/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": "🍽️ Feed Diet",
        "body": "Audit your information diet and get a gorgeous report showing what you actually consume."
      },
      {
        "title": "Trigger",
        "body": "Activate when the user mentions any of:\n\n\"feed diet\"\n\"information diet\"\n\"audit my feeds\"\n\"what am I reading\"\n\"analyze my HN\"\n\"reading habits\"\n\"content diet\"\n\"feed report\""
      },
      {
        "title": "Audit Mode (default)",
        "body": "Determine the data source. Ask the user for one of:\n\nA Hacker News username (e.g., \"tosh\")\nAn OPML file path containing RSS feed subscriptions\n\n\n\nFetch the content. Run the appropriate fetch script:\n# For HN:\nbash \"$SKILL_DIR/scripts/hn-fetch.sh\" USERNAME 100\n\n# For OPML:\nbash \"$SKILL_DIR/scripts/opml-parse.sh\" /path/to/feeds.opml\n\n\n\nClassify items. Pipe the fetched items through the classifier:\ncat items.jsonl | bash \"$SKILL_DIR/scripts/classify.sh\" > classified.jsonl\n\nThe classifier uses LLM (if ANTHROPIC_API_KEY or OPENAI_API_KEY is set) or falls back to keyword matching.\n\n\nGenerate the report. Run the main entry point:\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --hn USERNAME --limit 100\n\n\n\nPresent the report to the user. The output is Markdown — render it directly."
      },
      {
        "title": "Digest Mode (weekly curated reading)",
        "body": "When the user wants a filtered reading list based on their goals:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" digest --hn USERNAME --goal \"systems programming, distributed systems\" --days 7"
      },
      {
        "title": "Quick Reference",
        "body": "CommandDescriptionfeed-diet audit --hn USERFull diet audit for an HN userfeed-diet audit --opml FILEFull diet audit from RSS feedsfeed-diet digest --hn USER --goal \"X\"Weekly digest filtered by goals"
      },
      {
        "title": "Notes for the Agent",
        "body": "Be conversational. After presenting the report, offer observations like \"Looks like you're heavy on news — want me to suggest some deeper technical feeds?\"\nSuggest the digest mode if the user seems interested in filtering their reading.\nThe report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy.\nIf classification seems off, mention that setting an LLM API key improves accuracy."
      },
      {
        "title": "Discord v2 Delivery Mode (OpenClaw v2026.2.14+)",
        "body": "When the conversation is happening in a Discord channel:\n\nSend a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report.\nKeep the first response under ~1200 characters and avoid wide category tables in the first message.\nIf Discord components are available, include quick actions:\n\nShow Full Diet Report\nGenerate Weekly Digest\nShow Recommendations\n\n\nIf components are not available, provide the same follow-ups as a numbered list.\nPrefer short follow-up chunks (<=15 lines per message) when sharing long reports."
      },
      {
        "title": "References",
        "body": "scripts/feed-diet.sh — Main entry point\nscripts/hn-fetch.sh — Hacker News story fetcher\nscripts/opml-parse.sh — OPML/RSS feed parser\nscripts/classify.sh — Batch content classifier (LLM + fallback)\nscripts/common.sh — Shared utilities and formatting"
      },
      {
        "title": "Example 1: HN Audit",
        "body": "User: \"Audit my HN reading diet — my username is tosh\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --hn tosh --limit 50\n\nOutput: A full Markdown report with category breakdown table, top categories with sample items, surprising finds, and recommendations."
      },
      {
        "title": "Example 2: Weekly Digest",
        "body": "User: \"Give me a digest of what's relevant to my work on compilers and programming languages\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" digest --hn tosh --goal \"compilers, programming languages, parsers\" --days 7\n\nOutput: A curated reading list of 10-20 items ranked by relevance to the user's goals."
      },
      {
        "title": "Example 3: RSS Feed Audit",
        "body": "User: \"Here's my OPML file, tell me what my feed diet looks like\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --opml /path/to/feeds.opml"
      }
    ],
    "body": "🍽️ Feed Diet\n\nAudit your information diet and get a gorgeous report showing what you actually consume.\n\nTrigger\n\nActivate when the user mentions any of:\n\n\"feed diet\"\n\"information diet\"\n\"audit my feeds\"\n\"what am I reading\"\n\"analyze my HN\"\n\"reading habits\"\n\"content diet\"\n\"feed report\"\nInstructions\nAudit Mode (default)\n\nDetermine the data source. Ask the user for one of:\n\nA Hacker News username (e.g., \"tosh\")\nAn OPML file path containing RSS feed subscriptions\n\nFetch the content. Run the appropriate fetch script:\n\n# For HN:\nbash \"$SKILL_DIR/scripts/hn-fetch.sh\" USERNAME 100\n\n# For OPML:\nbash \"$SKILL_DIR/scripts/opml-parse.sh\" /path/to/feeds.opml\n\n\nClassify items. Pipe the fetched items through the classifier:\n\ncat items.jsonl | bash \"$SKILL_DIR/scripts/classify.sh\" > classified.jsonl\n\n\nThe classifier uses LLM (if ANTHROPIC_API_KEY or OPENAI_API_KEY is set) or falls back to keyword matching.\n\nGenerate the report. Run the main entry point:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --hn USERNAME --limit 100\n\n\nPresent the report to the user. The output is Markdown — render it directly.\n\nDigest Mode (weekly curated reading)\n\nWhen the user wants a filtered reading list based on their goals:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" digest --hn USERNAME --goal \"systems programming, distributed systems\" --days 7\n\nQuick Reference\nCommand\tDescription\nfeed-diet audit --hn USER\tFull diet audit for an HN user\nfeed-diet audit --opml FILE\tFull diet audit from RSS feeds\nfeed-diet digest --hn USER --goal \"X\"\tWeekly digest filtered by goals\nNotes for the Agent\nBe conversational. After presenting the report, offer observations like \"Looks like you're heavy on news — want me to suggest some deeper technical feeds?\"\nSuggest the digest mode if the user seems interested in filtering their reading.\nThe report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy.\nIf classification seems off, mention that setting an LLM API key improves accuracy.\nDiscord v2 Delivery Mode (OpenClaw v2026.2.14+)\n\nWhen the conversation is happening in a Discord channel:\n\nSend a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report.\nKeep the first response under ~1200 characters and avoid wide category tables in the first message.\nIf Discord components are available, include quick actions:\nShow Full Diet Report\nGenerate Weekly Digest\nShow Recommendations\nIf components are not available, provide the same follow-ups as a numbered list.\nPrefer short follow-up chunks (<=15 lines per message) when sharing long reports.\nReferences\nscripts/feed-diet.sh — Main entry point\nscripts/hn-fetch.sh — Hacker News story fetcher\nscripts/opml-parse.sh — OPML/RSS feed parser\nscripts/classify.sh — Batch content classifier (LLM + fallback)\nscripts/common.sh — Shared utilities and formatting\nExamples\nExample 1: HN Audit\n\nUser: \"Audit my HN reading diet — my username is tosh\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --hn tosh --limit 50\n\n\nOutput: A full Markdown report with category breakdown table, top categories with sample items, surprising finds, and recommendations.\n\nExample 2: Weekly Digest\n\nUser: \"Give me a digest of what's relevant to my work on compilers and programming languages\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" digest --hn tosh --goal \"compilers, programming languages, parsers\" --days 7\n\n\nOutput: A curated reading list of 10-20 items ranked by relevance to the user's goals.\n\nExample 3: RSS Feed Audit\n\nUser: \"Here's my OPML file, tell me what my feed diet looks like\"\n\nAgent runs:\n\nbash \"$SKILL_DIR/scripts/feed-diet.sh\" audit --opml /path/to/feeds.opml"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/tkuehnl/feed-diet",
    "publisherUrl": "https://clawhub.ai/tkuehnl/feed-diet",
    "owner": "tkuehnl",
    "version": "0.2.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/feed-diet",
    "downloadUrl": "https://openagent3.xyz/downloads/feed-diet",
    "agentUrl": "https://openagent3.xyz/skills/feed-diet/agent",
    "manifestUrl": "https://openagent3.xyz/skills/feed-diet/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/feed-diet/agent.md"
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}