{
  "schemaVersion": "1.0",
  "item": {
    "slug": "blacksnow",
    "name": "Blacksnow",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/sieershafilone/blacksnow",
    "canonicalUrl": "https://clawhub.ai/sieershafilone/blacksnow",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/blacksnow",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=blacksnow",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "manifest.yaml",
      "references/agent_specs.md",
      "references/ontology.md",
      "scripts/blacksnow_test.py",
      "scripts/harvester.py"
    ],
    "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": "2026-04-23T16:43:11.935Z",
      "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/blacksnow"
    },
    "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/blacksnow",
    "agentPageUrl": "https://openagent3.xyz/skills/blacksnow/agent",
    "manifestUrl": "https://openagent3.xyz/skills/blacksnow/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/blacksnow/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": "BlackSnow",
        "body": "Invisible Risk Exhaust → Tradable Signal Engine\n\nBlackSnow is an economic sensor skill that ingests fragmented, low-signal, legally accessible data exhaust from multiple non-obvious domains. It applies ontology alignment, weak-signal Bayesian accumulation, and horizon forecasting to surface early risk vectors before formal events, news, or disclosures occur.\n\nOutputs are structured for automated consumption by financial, insurance, logistics, and policy systems."
      },
      {
        "title": "Core Capabilities",
        "body": "Ambient Risk Detection: Surfaces pre-event signals invisible to traditional monitoring\nWeak-Signal Correlation: Connects individually meaningless data points into predictive patterns\nCross-Domain Ontology Fusion: Aligns heterogeneous inputs into unified risk primitives\nProbabilistic Forecasting: Estimates outcome likelihoods and temporal windows\nTradable Signal Packaging: Converts internal risk states into sellable primitives"
      },
      {
        "title": "Non-Capabilities",
        "body": "❌ Insider information\n❌ Sentiment analysis\n❌ News aggregation\n❌ Price prediction\n❌ Decision execution"
      },
      {
        "title": "What BlackSnow Detects",
        "body": "Signals that exist weeks earlier, fragmented across obscure, low-signal sources:"
      },
      {
        "title": "Micro-Behavioral Shifts",
        "body": "Municipal procurement wording changes\nInfrastructure maintenance deferrals\nInsurance clause revisions\nSupply contract force-majeure language"
      },
      {
        "title": "Operational Anomalies",
        "body": "Unexpected overtime tenders\nSilent vendor substitutions\nEmergency inventory buffering"
      },
      {
        "title": "Legal Entropy",
        "body": "Draft regulation language drift\nRepeated consultation extensions\nCommittee member attendance decay"
      },
      {
        "title": "Human System Stress",
        "body": "Attrition spikes in critical roles\nHiring freezes masked as \"role realignment\"\nUnion grievance language tone shifts"
      },
      {
        "title": "Output Schema",
        "body": "{\n  \"risk_vector\": \"infra.energy.grid\",\n  \"signal_confidence\": 0.87,\n  \"time_horizon_days\": \"21-45\",\n  \"contributing_domains\": [\"procurement\", \"maintenance\", \"labor\"],\n  \"likely_outcomes\": [\n    \"localized outage\",\n    \"price volatility\",\n    \"policy intervention\"\n  ],\n  \"tradability\": {\n    \"insurance\": true,\n    \"commodities\": true,\n    \"logistics\": true,\n    \"policy\": false\n  }\n}"
      },
      {
        "title": "Agents",
        "body": "AgentRoleDescriptionharvesterIngestionCollects obscure, legally accessible data exhaust from approved domainsnormalizerSemantic AlignmentMaps heterogeneous inputs into a unified risk ontologyaccumulatorProbabilistic ReasoningPerforms Bayesian evidence accumulation over timeforecasterHorizon ModelingEstimates outcome likelihoods and temporal windowspackagerMonetization InterfaceConverts internal risk states into sellable signal primitives"
      },
      {
        "title": "Allowed",
        "body": "Public procurement notices\nRegulatory draft documents\nContract language revisions\nMaintenance and tender logs\nLabor and union filings\nHiring and attrition metadata\nInventory and logistics metadata"
      },
      {
        "title": "Forbidden",
        "body": "Private communications\nLeaked documents\nPaywalled sources without license\nPersonal identifiable information"
      },
      {
        "title": "Monetization Tiers",
        "body": "TierAccessPriceObserverAggregated heatmaps$99/moOperatorRaw risk vectors$1,500/moFund/APIReal-time streaming signals$10k–50k/moSovereignCustom domains & exclusivity$250k+/yr"
      },
      {
        "title": "Add-ons",
        "body": "Region exclusivity\nEarly-signal SLA\nHistorical backtesting\nCompliance attestation"
      },
      {
        "title": "Integration",
        "body": "Compatible skills:\n\ntradebot\nhedgecore\nlogistics-router\npolicy-simulator\n\nChaining mode: async"
      },
      {
        "title": "Legal",
        "body": "GDPR compliant\nNo personal data storage\nNo market manipulation intent"
      },
      {
        "title": "Ethical",
        "body": "No targeted individual profiling\nNo civilian harm forecasting"
      },
      {
        "title": "Operational",
        "body": "Explainability not guaranteed\nProbabilistic outputs only"
      },
      {
        "title": "Risk Disclaimer",
        "body": "BlackSnow provides probabilistic risk intelligence, not predictions or advice. Users are solely responsible for downstream decisions and compliance."
      },
      {
        "title": "Status",
        "body": "Deployment: Sandbox\nOnboarding: Gated\nAudit Required: Yes"
      }
    ],
    "body": "BlackSnow\n\nInvisible Risk Exhaust → Tradable Signal Engine\n\nBlackSnow is an economic sensor skill that ingests fragmented, low-signal, legally accessible data exhaust from multiple non-obvious domains. It applies ontology alignment, weak-signal Bayesian accumulation, and horizon forecasting to surface early risk vectors before formal events, news, or disclosures occur.\n\nOutputs are structured for automated consumption by financial, insurance, logistics, and policy systems.\n\nCore Capabilities\nAmbient Risk Detection: Surfaces pre-event signals invisible to traditional monitoring\nWeak-Signal Correlation: Connects individually meaningless data points into predictive patterns\nCross-Domain Ontology Fusion: Aligns heterogeneous inputs into unified risk primitives\nProbabilistic Forecasting: Estimates outcome likelihoods and temporal windows\nTradable Signal Packaging: Converts internal risk states into sellable primitives\nNon-Capabilities\n❌ Insider information\n❌ Sentiment analysis\n❌ News aggregation\n❌ Price prediction\n❌ Decision execution\nWhat BlackSnow Detects\n\nSignals that exist weeks earlier, fragmented across obscure, low-signal sources:\n\nMicro-Behavioral Shifts\nMunicipal procurement wording changes\nInfrastructure maintenance deferrals\nInsurance clause revisions\nSupply contract force-majeure language\nOperational Anomalies\nUnexpected overtime tenders\nSilent vendor substitutions\nEmergency inventory buffering\nLegal Entropy\nDraft regulation language drift\nRepeated consultation extensions\nCommittee member attendance decay\nHuman System Stress\nAttrition spikes in critical roles\nHiring freezes masked as \"role realignment\"\nUnion grievance language tone shifts\nOutput Schema\n{\n  \"risk_vector\": \"infra.energy.grid\",\n  \"signal_confidence\": 0.87,\n  \"time_horizon_days\": \"21-45\",\n  \"contributing_domains\": [\"procurement\", \"maintenance\", \"labor\"],\n  \"likely_outcomes\": [\n    \"localized outage\",\n    \"price volatility\",\n    \"policy intervention\"\n  ],\n  \"tradability\": {\n    \"insurance\": true,\n    \"commodities\": true,\n    \"logistics\": true,\n    \"policy\": false\n  }\n}\n\nAgents\nAgent\tRole\tDescription\nharvester\tIngestion\tCollects obscure, legally accessible data exhaust from approved domains\nnormalizer\tSemantic Alignment\tMaps heterogeneous inputs into a unified risk ontology\naccumulator\tProbabilistic Reasoning\tPerforms Bayesian evidence accumulation over time\nforecaster\tHorizon Modeling\tEstimates outcome likelihoods and temporal windows\npackager\tMonetization Interface\tConverts internal risk states into sellable signal primitives\nData Sources\nAllowed\nPublic procurement notices\nRegulatory draft documents\nContract language revisions\nMaintenance and tender logs\nLabor and union filings\nHiring and attrition metadata\nInventory and logistics metadata\nForbidden\nPrivate communications\nLeaked documents\nPaywalled sources without license\nPersonal identifiable information\nMonetization Tiers\nTier\tAccess\tPrice\nObserver\tAggregated heatmaps\t$99/mo\nOperator\tRaw risk vectors\t$1,500/mo\nFund/API\tReal-time streaming signals\t$10k–50k/mo\nSovereign\tCustom domains & exclusivity\t$250k+/yr\nAdd-ons\nRegion exclusivity\nEarly-signal SLA\nHistorical backtesting\nCompliance attestation\nIntegration\n\nCompatible skills:\n\ntradebot\nhedgecore\nlogistics-router\npolicy-simulator\n\nChaining mode: async\n\nConstraints\nLegal\nGDPR compliant\nNo personal data storage\nNo market manipulation intent\nEthical\nNo targeted individual profiling\nNo civilian harm forecasting\nOperational\nExplainability not guaranteed\nProbabilistic outputs only\nRisk Disclaimer\n\nBlackSnow provides probabilistic risk intelligence, not predictions or advice. Users are solely responsible for downstream decisions and compliance.\n\nStatus\nDeployment: Sandbox\nOnboarding: Gated\nAudit Required: Yes"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/sieershafilone/blacksnow",
    "publisherUrl": "https://clawhub.ai/sieershafilone/blacksnow",
    "owner": "sieershafilone",
    "version": "0.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/blacksnow",
    "downloadUrl": "https://openagent3.xyz/downloads/blacksnow",
    "agentUrl": "https://openagent3.xyz/skills/blacksnow/agent",
    "manifestUrl": "https://openagent3.xyz/skills/blacksnow/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/blacksnow/agent.md"
  }
}