# Send Blacksnow to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "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": { "downloadUrl": "/downloads/blacksnow", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=blacksnow", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "manifest.yaml", "references/agent_specs.md", "references/ontology.md", "scripts/blacksnow_test.py", "scripts/harvester.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "blacksnow", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T03:22:16.073Z", "expiresAt": "2026-05-07T03:22:16.073Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=blacksnow", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=blacksnow", "contentDisposition": "attachment; filename=\"blacksnow-0.1.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "blacksnow" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "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." ] } }, "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" } } ``` ## Documentation ### BlackSnow Invisible Risk Exhaust → Tradable Signal Engine BlackSnow 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. Outputs are structured for automated consumption by financial, insurance, logistics, and policy systems. ### Core Capabilities Ambient Risk Detection: Surfaces pre-event signals invisible to traditional monitoring Weak-Signal Correlation: Connects individually meaningless data points into predictive patterns Cross-Domain Ontology Fusion: Aligns heterogeneous inputs into unified risk primitives Probabilistic Forecasting: Estimates outcome likelihoods and temporal windows Tradable Signal Packaging: Converts internal risk states into sellable primitives ### Non-Capabilities ❌ Insider information ❌ Sentiment analysis ❌ News aggregation ❌ Price prediction ❌ Decision execution ### What BlackSnow Detects Signals that exist weeks earlier, fragmented across obscure, low-signal sources: ### Micro-Behavioral Shifts Municipal procurement wording changes Infrastructure maintenance deferrals Insurance clause revisions Supply contract force-majeure language ### Operational Anomalies Unexpected overtime tenders Silent vendor substitutions Emergency inventory buffering ### Legal Entropy Draft regulation language drift Repeated consultation extensions Committee member attendance decay ### Human System Stress Attrition spikes in critical roles Hiring freezes masked as "role realignment" Union grievance language tone shifts ### Output Schema { "risk_vector": "infra.energy.grid", "signal_confidence": 0.87, "time_horizon_days": "21-45", "contributing_domains": ["procurement", "maintenance", "labor"], "likely_outcomes": [ "localized outage", "price volatility", "policy intervention" ], "tradability": { "insurance": true, "commodities": true, "logistics": true, "policy": false } } ### Agents 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 ### Allowed Public procurement notices Regulatory draft documents Contract language revisions Maintenance and tender logs Labor and union filings Hiring and attrition metadata Inventory and logistics metadata ### Forbidden Private communications Leaked documents Paywalled sources without license Personal identifiable information ### Monetization Tiers TierAccessPriceObserverAggregated heatmaps$99/moOperatorRaw risk vectors$1,500/moFund/APIReal-time streaming signals$10k–50k/moSovereignCustom domains & exclusivity$250k+/yr ### Add-ons Region exclusivity Early-signal SLA Historical backtesting Compliance attestation ### Integration Compatible skills: tradebot hedgecore logistics-router policy-simulator Chaining mode: async ### Legal GDPR compliant No personal data storage No market manipulation intent ### Ethical No targeted individual profiling No civilian harm forecasting ### Operational Explainability not guaranteed Probabilistic outputs only ### Risk Disclaimer BlackSnow provides probabilistic risk intelligence, not predictions or advice. Users are solely responsible for downstream decisions and compliance. ### Status Deployment: Sandbox Onboarding: Gated Audit Required: Yes ## Trust - Source: tencent - Verification: Indexed source record - Publisher: sieershafilone - Version: 0.1.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-30T03:22:16.073Z - Expires at: 2026-05-07T03:22:16.073Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/blacksnow) - [Send to Agent page](https://openagent3.xyz/skills/blacksnow/agent) - [JSON manifest](https://openagent3.xyz/skills/blacksnow/agent.json) - [Markdown brief](https://openagent3.xyz/skills/blacksnow/agent.md) - [Download page](https://openagent3.xyz/downloads/blacksnow)