OpenClaw

blackclaw

Real-time crypto risk intelligence; before and as things break. Two tools: Flare (15-min precursor detection, immediate alarms) and Core (60-min state synthesis, context assessment). Free access to the last analysis. No API key required. Upgrade to x402 for custom analysis.

bilalmotiwala0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install bilalmotiwala/blackswan

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

BlackSwan Risk Intelligence

BlackSwan monitors crypto markets 24/7 and produces two risk assessments:

Flare — Precursor detection from a 15-minute signal window. Use for immediate, alarm-bell risk checks. Before the news breaks.
Core — State synthesis from a 60-minute signal window. Use for market context and risk assessment. As the news breaks.

When to use each tool

Question	Tool
"Is something happening right now?"	Flare
"What's the overall market risk environment?"	Core
"Should I be worried about sudden moves?"	Flare
"Give me a full risk briefing"	Both (Flare first, then Core)

Base URL

https://mcp.blackswan.wtf

Endpoints

GET /api/flare

Returns the latest Flare precursor detection assessment.

curl -s https://mcp.blackswan.wtf/api/flare

Response fields:

Field	Description
`agent`	Always `"flare"`
`data_age`	Human-readable age of the data (e.g. "12 minutes ago")
`status`	`"clear"` or `"alert"`
`severity`	`"none"`, `"low"`, `"medium"`, `"high"`, or `"critical"`
`checked_at`	ISO 8601 timestamp of the assessment
`assessment`	Natural language risk assessment
`signals`	Array of detected signals, each with `type`, `source`, and `detail`

GET /api/core

Returns the latest Core state synthesis assessment.

curl -s https://mcp.blackswan.wtf/api/core

Response fields:

Field	Description
`agent`	Always `"core"`
`data_age`	Human-readable age of the data (e.g. "1 hour ago")
`timestamp`	ISO 8601 timestamp of the assessment
`environment`	`"stable"`, `"elevated"`, `"stressed"`, or `"crisis"`
`assessment`	Natural language risk assessment
`key_factors`	Array of strings describing the main risk factors
`sources_used`	Array of data source names used in the assessment
`data_freshness`	Description of how fresh the...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/bilalmotiwala/blackswan
Version: —
Commit: 74c349c9e9f1011d2c34bfa548651dcb9103c975
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# BlackSwan Risk Intelligence

BlackSwan monitors crypto markets 24/7 and produces two risk assessments:

- **Flare** — Precursor detection from a 15-minute signal window. Use for immediate, alarm-bell risk checks. Before the news breaks.
- **Core** — State synthesis from a 60-minute signal window. Use for market context and risk assessment. As the news breaks.

## When to use each tool

| Question | Tool |
|----------|------|
| "Is something happening right now?" | Flare |
| "What's the overall market risk environment?" | Core |
| "Should I be worried about sudden moves?" | Flare |
| "Give me a full risk briefing" | Both (Flare first, then Core) |

## Base URL

```
https://mcp.blackswan.wtf
```

## Endpoints

### GET /api/flare

Returns the latest Flare precursor detection assessment.

```bash
curl -s https://mcp.blackswan.wtf/api/flare
```

**Response fields:**

| Field | Description |
|-------|-------------|
| `agent` | Always `"flare"` |
| `data_age` | Human-readable age of the data (e.g. "12 minutes ago") |
| `status` | `"clear"` or `"alert"` |
| `severity` | `"none"`, `"low"`, `"medium"`, `"high"`, or `"critical"` |
| `checked_at` | ISO 8601 timestamp of the assessment |
| `assessment` | Natural language risk assessment |
| `signals` | Array of detected signals, each with `type`, `source`, and `detail` |

### GET /api/core

Returns the latest Core state synthesis assessment.

```bash
curl -s https://mcp.blackswan.wtf/api/core
```

**Response fields:**

| Field | Description |
|-------|-------------|
| `agent` | Always `"core"` |
| `data_age` | Human-readable age of the data (e.g. "1 hour ago") |
| `timestamp` | ISO 8601 timestamp of the assessment |
| `environment` | `"stable"`, `"elevated"`, `"stressed"`, or `"crisis"` |
| `assessment` | Natural language risk assessment |
| `key_factors` | Array of strings describing the main risk factors |
| `sources_used` | Array of data source names used in the assessment |
| `data_freshness` | Description of how fresh the...

搜索