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    ],
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      {
        "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."
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    "sections": [
      {
        "title": "ddg-search",
        "body": "Search DuckDuckGo from the command line. Results go to stdout; progress goes to stderr."
      },
      {
        "title": "Quick reference",
        "body": "ddg-search \"query\"                          # default: JSON, 5 pages\nddg-search -f compact \"query\"               # minimal-token output (best for LLM context)\nddg-search -f jsonl \"query\"                 # one JSON object per line\nddg-search -n 10 \"query\"                    # stop after 10 results\nddg-search -p 2 -f json \"query\"             # 2 pages, JSON\nddg-search -r us-en -t w \"recent topic\"     # US-English, past week\nddg-search -p 0 \"query\"                     # unlimited pages (scrape all)"
      },
      {
        "title": "Options",
        "body": "FlagLongDescriptionDefault-f--formatOutput format: json, jsonl, csv, opensearch, markdown, compactjson-p--pagesMax pages to scrape (0 = unlimited)5-n--max-resultsStop after this many resultsall-r--regionRegion code (e.g. us-en, uk-en)all regions-t--timeTime filter: d (day), w (week), m (month), y (year)none"
      },
      {
        "title": "Choosing a format",
        "body": "compact: Use for feeding results into an LLM. Minimal tokens, no JSON overhead.\njsonl: Use when piping to line-oriented tools or streaming processors.\njson: Use when you need structured data with OpenSearch metadata, zero-click answers, and spelling corrections. Pipe through jq for field extraction (e.g. | jq '.items[].link').\ncsv: Use for spreadsheets or tabular analysis.\nmarkdown: Use for human-readable output or embedding in documents.\nopensearch: Use when producing Atom XML feeds."
      },
      {
        "title": "Extracting URLs from JSON output",
        "body": "ddg-search \"query\" | jq -r '.items[].link'"
      },
      {
        "title": "Notes",
        "body": "DuckDuckGo may trigger bot detection. The tool stops early and returns whatever results were collected.\nRandom delays (800–2900 ms) are inserted between page fetches automatically.\nProgress messages appear on stderr, so redirecting stdout captures only results."
      }
    ],
    "body": "ddg-search\n\nSearch DuckDuckGo from the command line. Results go to stdout; progress goes to stderr.\n\nQuick reference\nddg-search \"query\"                          # default: JSON, 5 pages\nddg-search -f compact \"query\"               # minimal-token output (best for LLM context)\nddg-search -f jsonl \"query\"                 # one JSON object per line\nddg-search -n 10 \"query\"                    # stop after 10 results\nddg-search -p 2 -f json \"query\"             # 2 pages, JSON\nddg-search -r us-en -t w \"recent topic\"     # US-English, past week\nddg-search -p 0 \"query\"                     # unlimited pages (scrape all)\n\nOptions\nFlag\tLong\tDescription\tDefault\n-f\t--format\tOutput format: json, jsonl, csv, opensearch, markdown, compact\tjson\n-p\t--pages\tMax pages to scrape (0 = unlimited)\t5\n-n\t--max-results\tStop after this many results\tall\n-r\t--region\tRegion code (e.g. us-en, uk-en)\tall regions\n-t\t--time\tTime filter: d (day), w (week), m (month), y (year)\tnone\nChoosing a format\ncompact: Use for feeding results into an LLM. Minimal tokens, no JSON overhead.\njsonl: Use when piping to line-oriented tools or streaming processors.\njson: Use when you need structured data with OpenSearch metadata, zero-click answers, and spelling corrections. Pipe through jq for field extraction (e.g. | jq '.items[].link').\ncsv: Use for spreadsheets or tabular analysis.\nmarkdown: Use for human-readable output or embedding in documents.\nopensearch: Use when producing Atom XML feeds.\nExtracting URLs from JSON output\nddg-search \"query\" | jq -r '.items[].link'\n\nNotes\nDuckDuckGo may trigger bot detection. The tool stops early and returns whatever results were collected.\nRandom delays (800–2900 ms) are inserted between page fetches automatically.\nProgress messages appear on stderr, so redirecting stdout captures only results."
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    "provenanceUrl": "https://clawhub.ai/camohiddendj/ddg-search-cli",
    "publisherUrl": "https://clawhub.ai/camohiddendj/ddg-search-cli",
    "owner": "camohiddendj",
    "version": "2026.2.15",
    "license": null,
    "verificationStatus": "Indexed source record"
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