Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install blacksnow或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install blacksnow⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/blacksnow/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- 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.
安装 Blacksnow 后,可以对 AI 说这些话来触发它
Help me get started with Blacksnow
Explains what Blacksnow does, walks through the setup, and runs a quick demo based on your current project
Use Blacksnow to detects pre-news ambient risk signals across human, legal, and oper...
Invokes Blacksnow with the right parameters and returns the result directly in the conversation
What can I do with Blacksnow in my marketing & growth workflow?
Lists the top use cases for Blacksnow, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/blacksnow/ 目录(个人级,所有项目可用),或 .claude/skills/blacksnow/(项目级)。重启 AI 客户端后,用 /blacksnow 主动调用,或让 AI 根据上下文自动发现并使用。
Blacksnow 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Blacksnow 可免费安装使用。请查阅仓库了解许可证信息。
Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
Blacksnow 属于「Marketing & Growth」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my marketing & growth tasks using Blacksnow
Identifies repetitive steps in your workflow and sets up Blacksnow to handle them automatically