Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Blacksnow
Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
skill openclawclawhub Free
Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, manifest.yaml, references/agent_specs.md, references/ontology.md, scripts/blacksnow_test.py, scripts/harvester.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- sieershafilone
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
BlackSnow
Invisible Risk Exhaust β 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
β Insider information β Sentiment analysis β News aggregation β Price prediction β 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$10kβ50k/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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts1 Config
- SKILL.md
- references/agent_specs.md
- references/ontology.md
- scripts/blacksnow_test.py
- scripts/harvester.py
- manifest.yaml