Black swan radar
Skill Jinchengawu/stock-monitoring-kit/skills/black-swan-radar
Triage sudden geopolitical, war, tariff, sanctions, policy, liquidity, cyber, or market-structure shocks and trace their likely market impact. Use when breaking news may be a black-swan event, the user asks for urgent risk analysis, or existing market scenarios need rapid invalidation and monitoring triggers.From its SKILL.md
npx -y skills add Jinchengawu/stock-monitoring-kit --skill black-swan-radarAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 20 days oldThe repository was created 20 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.7 KB, 266 tokens by cl100k_base, as published. Nobody here has run it
Black Swan Radar
Reduce rumor amplification while mapping a fast-moving event into verifiable market transmission paths.
Workflow
- Set an
as oftimestamp and label every statement as verified, reported-but-unconfirmed, or inference. - Prefer primary official releases, exchange notices, regulators, company filings, and multiple independent reputable reports.
- Identify the shock type, geographic scope, duration uncertainty, and whether markets are open.
- Trace first- and second-order exposure through:
- Countries and supply chains
- Energy, metals, agriculture, and freight
- Rates, credit, currencies, and volatility
- Sectors, indices, and supplied watchlist symbols
- Build escalation, containment, and reversal scenarios with observable triggers and invalidations.
- Flag data that requires immediate refresh. Do not infer a live price response without current market data.
Output
- Timestamped situation summary
- Verification ledger: fact, source, confidence, freshness
- Exposure and transmission map
- Escalation/base/containment scenarios
- Watchlist impact and technical levels only when supplied
- Monitoring cadence and next verification events
- Unknowns, rumor risks, and research-only disclaimer
Use calm language. Never convert uncertainty into precise probabilities without a defensible basis.
What ships with it: 1 file
524 B alongside SKILL.md
agents/
- openai.yaml524 B