{
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  "item": {
    "slug": "lead-scorer-free",
    "name": "Lead Scorer",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/psyduckler/lead-scorer-free",
    "canonicalUrl": "https://clawhub.ai/psyduckler/lead-scorer-free",
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    "extraction": "Extract archive",
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      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
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      "scripts/profiles/clearscope.json",
      "scripts/profiles/default.json",
      "scripts/score_lead.py"
    ],
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    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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      "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.",
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        "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."
        }
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      "checkedAt": "2026-04-30T16:55:25.780Z",
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        "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/lead-scorer-free"
    },
    "validation": {
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        "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/lead-scorer-free",
    "agentPageUrl": "https://openagent3.xyz/skills/lead-scorer-free/agent",
    "manifestUrl": "https://openagent3.xyz/skills/lead-scorer-free/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/lead-scorer-free/agent.md"
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  "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": "Lead Scorer",
        "body": "Analyze a domain and return a 0-100 lead score with detailed breakdown. The key feature is customizable scoring profiles — JSON configs that define which signals matter and their weights."
      },
      {
        "title": "How It Works",
        "body": "DNS Analysis — MX records (Google Workspace/M365 = real business), SPF/DMARC\nSitemap Parsing — URL count, last modified dates, content volume\nWebsite Scraping — Blog detection, tech stack, meta tags, social links, contact info\nSignal Scoring — Each signal scored against the profile weights\nGrade Assignment — A (80-100), B (60-79), C (40-59), D (20-39), F (0-19)"
      },
      {
        "title": "Dependencies",
        "body": "pip3 install dnspython"
      },
      {
        "title": "Single domain (default profile)",
        "body": "python3 scripts/score_lead.py example.com"
      },
      {
        "title": "With custom profile",
        "body": "python3 scripts/score_lead.py example.com --profile clearscope.json"
      },
      {
        "title": "Multiple domains",
        "body": "python3 scripts/score_lead.py domain1.com domain2.com domain3.com"
      },
      {
        "title": "Batch from CSV",
        "body": "python3 scripts/score_lead.py --csv leads.csv --domain-column \"Website\""
      },
      {
        "title": "Options",
        "body": "--profile FILE — Scoring profile JSON (default: default.json, resolved from scripts/profiles/)\n--csv FILE — CSV file with domains\n--domain-column NAME — Column name for domains in CSV (default: domain)\n--scrape-delay SECONDS — Delay between HTTP requests (default: 0.5)\n--output FILE — Write results to file instead of stdout"
      },
      {
        "title": "Output",
        "body": "JSON to stdout with overall score, per-signal breakdown, raw data, and summary:\n\n{\n  \"domain\": \"example.com\",\n  \"score\": 72,\n  \"grade\": \"B\",\n  \"profile\": \"default\",\n  \"signals\": {\n    \"has_blog\": {\"score\": 20, \"max\": 20, \"evidence\": \"Blog found at /blog; 234 URLs in sitemap\"},\n    \"business_legitimacy\": {\"score\": 15, \"max\": 20, \"evidence\": \"MX: Google Workspace; SPF configured\"}\n  },\n  \"raw_data\": {\n    \"sitemap_urls\": 234,\n    \"mx_provider\": \"Google Workspace\",\n    \"tech_stack\": [\"WordPress\", \"Cloudflare\"]\n  },\n  \"summary\": \"Strong in: has blog, business legitimacy. Good lead, worth pursuing.\"\n}"
      },
      {
        "title": "Scoring Profiles",
        "body": "Profiles are the key differentiator. They let you define what matters for YOUR use case."
      },
      {
        "title": "Profile format",
        "body": "{\n  \"name\": \"my-profile\",\n  \"description\": \"What this profile scores for\",\n  \"signals\": {\n    \"signal_name\": {\n      \"weight\": 25,\n      \"description\": \"What this signal measures\",\n      \"keywords\": [\"optional\", \"keyword\", \"list\"]\n    }\n  }\n}"
      },
      {
        "title": "Built-in signals",
        "body": "SignalWhat it checkshas_blogBlog/content section existence + sitemap volumebusiness_legitimacyMX provider, SPF/DMARC, about page, meta tagscontent_velocitySitemap dates — recency and frequency of updatestech_stackCMS, analytics, chat tools detected in page sourceaudience_sizeSocial media links (Twitter, LinkedIn, YouTube, Facebook)contact_findabilityContact page, emails on site, LinkedIn linkseo_toolsKeyword matching in homepage text (requires keywords array)"
      },
      {
        "title": "Custom keyword signals",
        "body": "Any signal with a keywords array will match those terms against the homepage text. This is how you detect competitors, tools, or industry terms:\n\n{\n  \"name\": \"crm-seller\",\n  \"signals\": {\n    \"uses_crm\": {\n      \"weight\": 30,\n      \"description\": \"Already uses a CRM\",\n      \"keywords\": [\"salesforce\", \"hubspot\", \"pipedrive\", \"zoho crm\", \"close.io\"]\n    },\n    \"has_sales_team\": {\n      \"weight\": 25,\n      \"description\": \"Mentions sales roles or team\",\n      \"keywords\": [\"sales team\", \"account executive\", \"sdr\", \"business development\"]\n    }\n  }\n}"
      },
      {
        "title": "Shipped profiles",
        "body": "default.json — Generic scoring for any SaaS/content company\nclearscope.json — Example profile for SEO tool partnership leads\n\nCreate your own in scripts/profiles/ or pass any path with --profile."
      },
      {
        "title": "Rate Limiting",
        "body": "The script is polite by default:\n\n--scrape-delay 0.5 — 500ms between HTTP requests (default)\nEach domain makes ~5-8 requests (homepage, blog, about, contact, sitemap, DNS)\nFor batch mode, there's an additional delay between domains\nIncrease delay for large batches: --scrape-delay 2\nAll requests use a generic User-Agent string"
      },
      {
        "title": "Recommended delays",
        "body": "Batch sizeDelayEst. time1-100.5s (default)~30s-2min10-501.0s~5-15min50+2.0s~30min+"
      },
      {
        "title": "Error Handling",
        "body": "If a signal can't be gathered (site down, DNS timeout, etc.), it scores 0 with an explanation in the evidence field. The script never crashes on a single domain failure — it logs the issue to stderr and continues."
      },
      {
        "title": "Tips",
        "body": "Start with default profile, review results, then customize\nWeights should sum to 100 for intuitive scoring (not required — auto-normalizes)\nKeywords are powerful — add competitor names, industry terms, technology mentions\nPipe to jq for quick filtering: python3 scripts/score_lead.py domain.com | jq '.score'\nBatch + sort: Score a CSV, then sort by score to prioritize outreach"
      }
    ],
    "body": "Lead Scorer\n\nAnalyze a domain and return a 0-100 lead score with detailed breakdown. The key feature is customizable scoring profiles — JSON configs that define which signals matter and their weights.\n\nHow It Works\nDNS Analysis — MX records (Google Workspace/M365 = real business), SPF/DMARC\nSitemap Parsing — URL count, last modified dates, content volume\nWebsite Scraping — Blog detection, tech stack, meta tags, social links, contact info\nSignal Scoring — Each signal scored against the profile weights\nGrade Assignment — A (80-100), B (60-79), C (40-59), D (20-39), F (0-19)\nDependencies\npip3 install dnspython\n\nUsage\nSingle domain (default profile)\npython3 scripts/score_lead.py example.com\n\nWith custom profile\npython3 scripts/score_lead.py example.com --profile clearscope.json\n\nMultiple domains\npython3 scripts/score_lead.py domain1.com domain2.com domain3.com\n\nBatch from CSV\npython3 scripts/score_lead.py --csv leads.csv --domain-column \"Website\"\n\nOptions\n--profile FILE — Scoring profile JSON (default: default.json, resolved from scripts/profiles/)\n--csv FILE — CSV file with domains\n--domain-column NAME — Column name for domains in CSV (default: domain)\n--scrape-delay SECONDS — Delay between HTTP requests (default: 0.5)\n--output FILE — Write results to file instead of stdout\nOutput\n\nJSON to stdout with overall score, per-signal breakdown, raw data, and summary:\n\n{\n  \"domain\": \"example.com\",\n  \"score\": 72,\n  \"grade\": \"B\",\n  \"profile\": \"default\",\n  \"signals\": {\n    \"has_blog\": {\"score\": 20, \"max\": 20, \"evidence\": \"Blog found at /blog; 234 URLs in sitemap\"},\n    \"business_legitimacy\": {\"score\": 15, \"max\": 20, \"evidence\": \"MX: Google Workspace; SPF configured\"}\n  },\n  \"raw_data\": {\n    \"sitemap_urls\": 234,\n    \"mx_provider\": \"Google Workspace\",\n    \"tech_stack\": [\"WordPress\", \"Cloudflare\"]\n  },\n  \"summary\": \"Strong in: has blog, business legitimacy. Good lead, worth pursuing.\"\n}\n\nScoring Profiles\n\nProfiles are the key differentiator. They let you define what matters for YOUR use case.\n\nProfile format\n{\n  \"name\": \"my-profile\",\n  \"description\": \"What this profile scores for\",\n  \"signals\": {\n    \"signal_name\": {\n      \"weight\": 25,\n      \"description\": \"What this signal measures\",\n      \"keywords\": [\"optional\", \"keyword\", \"list\"]\n    }\n  }\n}\n\nBuilt-in signals\nSignal\tWhat it checks\nhas_blog\tBlog/content section existence + sitemap volume\nbusiness_legitimacy\tMX provider, SPF/DMARC, about page, meta tags\ncontent_velocity\tSitemap dates — recency and frequency of updates\ntech_stack\tCMS, analytics, chat tools detected in page source\naudience_size\tSocial media links (Twitter, LinkedIn, YouTube, Facebook)\ncontact_findability\tContact page, emails on site, LinkedIn link\nseo_tools\tKeyword matching in homepage text (requires keywords array)\nCustom keyword signals\n\nAny signal with a keywords array will match those terms against the homepage text. This is how you detect competitors, tools, or industry terms:\n\n{\n  \"name\": \"crm-seller\",\n  \"signals\": {\n    \"uses_crm\": {\n      \"weight\": 30,\n      \"description\": \"Already uses a CRM\",\n      \"keywords\": [\"salesforce\", \"hubspot\", \"pipedrive\", \"zoho crm\", \"close.io\"]\n    },\n    \"has_sales_team\": {\n      \"weight\": 25,\n      \"description\": \"Mentions sales roles or team\",\n      \"keywords\": [\"sales team\", \"account executive\", \"sdr\", \"business development\"]\n    }\n  }\n}\n\nShipped profiles\ndefault.json — Generic scoring for any SaaS/content company\nclearscope.json — Example profile for SEO tool partnership leads\n\nCreate your own in scripts/profiles/ or pass any path with --profile.\n\nRate Limiting\n\nThe script is polite by default:\n\n--scrape-delay 0.5 — 500ms between HTTP requests (default)\nEach domain makes ~5-8 requests (homepage, blog, about, contact, sitemap, DNS)\nFor batch mode, there's an additional delay between domains\nIncrease delay for large batches: --scrape-delay 2\nAll requests use a generic User-Agent string\nRecommended delays\nBatch size\tDelay\tEst. time\n1-10\t0.5s (default)\t~30s-2min\n10-50\t1.0s\t~5-15min\n50+\t2.0s\t~30min+\nError Handling\n\nIf a signal can't be gathered (site down, DNS timeout, etc.), it scores 0 with an explanation in the evidence field. The script never crashes on a single domain failure — it logs the issue to stderr and continues.\n\nTips\nStart with default profile, review results, then customize\nWeights should sum to 100 for intuitive scoring (not required — auto-normalizes)\nKeywords are powerful — add competitor names, industry terms, technology mentions\nPipe to jq for quick filtering: python3 scripts/score_lead.py domain.com | jq '.score'\nBatch + sort: Score a CSV, then sort by score to prioritize outreach"
  },
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    "provenanceUrl": "https://clawhub.ai/psyduckler/lead-scorer-free",
    "publisherUrl": "https://clawhub.ai/psyduckler/lead-scorer-free",
    "owner": "psyduckler",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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