Menu
Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.
| name | blacksnow |
| description | Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives. |
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.
Signals that exist weeks earlier, fragmented across obscure, low-signal sources:
{
"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
}
}
| Agent | Role | Description |
|---|---|---|
harvester | Ingestion | Collects obscure, legally accessible data exhaust from approved domains |
normalizer | Semantic Alignment | Maps heterogeneous inputs into a unified risk ontology |
accumulator | Probabilistic Reasoning | Performs Bayesian evidence accumulation over time |
forecaster | Horizon Modeling | Estimates outcome likelihoods and temporal windows |
packager | Monetization Interface | Converts internal risk states into sellable signal primitives |
| Tier | Access | Price |
|---|---|---|
| Observer | Aggregated heatmaps | $99/mo |
| Operator | Raw risk vectors | $1,500/mo |
| Fund/API | Real-time streaming signals | $10k–50k/mo |
| Sovereign | Custom domains & exclusivity | $250k+/yr |
Compatible skills:
tradebothedgecorelogistics-routerpolicy-simulatorChaining mode: async
BlackSnow provides probabilistic risk intelligence, not predictions or advice. Users are solely responsible for downstream decisions and compliance.