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kalshi-crypto-index-markets Checked
Kalshi daily and hourly range markets on crypto prices (BTC, ETH) and equity indices (S&P 500, Na…
8.6Overall rating
Installation
🤖 Install via AI
Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.
Install the "kalshi-crypto-index-markets" skill by following the instructions at https://skill123.me/install/kalshi-crypto-index-markets.
⌨️ Command line install
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/kalshi-crypto-index-markets.sh | bash
📦 Download ZIP
Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.
⬇ Download v1.0.0 · 7 KBAbout this skill
Overview
Kalshi daily and hourly range markets on crypto prices (BTC, ETH) and equity indices (S&P 500, Nasdaq-100) — bracket structure, Gaussian P(YES) modeling on price/vol, close-offset decision timing, longshot-sell edge with honest evidence bounds
Source
- Repo: https://github.com/agiprolabs/claude-trading-skills
- Path: skills/kalshi-crypto-index-markets
Score breakdown
Trigger
7.5
Description states What (bracket structure, Gaussian P(YES) on price/vol, close-offset timing, longshot-sell edge) with topic-rich keywords; When/When-Not implicit via cross-references to kalshi-api / prediction-market-strategy / kalshi-weather-markets; no explicit negative boundary.
Structure
9.3
145-line SKILL.md with one well-scoped reference; Files section explains roles; reference header says read SKILL.md first (progressive disclosure); no redundant files; inline code blocks acceptable given no executable scripts needed.
Workflow
7.6
Decision-timing convention (DECISION_OFFSET_MINUTES), settlement verification checklist (source/time/boundary), HFT caveat and conservative interpretation of edge stats act as strong guards; verification guidance via overround and rulebook check; but organization is topical, not a step-by-step execution workflow.
Content
9.0
Imperative, dense, concrete numbers (fee ~7 cents, offset 120min); honest evidence tables; minimal filler.
Engineering
9.0
Valid frontmatter; no scripts/ (code snippets show imports and runnable functions); cross-skill reference path ../prediction-markets/... not resolvable within the package - minor path-reference deduction.
Security
10.0
6.0 manifest: data reads none; side effects none; network destinations none; credentials none; persistence none. Capabilities match declared scope. No hardcoded keys, no injection text, only mentions of official sources (Kalshi rulebook, Deribit/CME) as data-source guidance, not exfiltration.
Kalshi crypto/index range-market companion to kalshi-weather-markets. Strong: honest evidence bounds (~50 trades, inconclusive crypto), HFT latency caveat, settlement-source verification checklist, correlation/fat-tail sizing notes. No scripts (formulas live as code blocks in references with numpy/scipy). Deductions: D3 is domain-reference more than ordered workflow; D5 SKILL.md references cross-skill path ../prediction-markets/references/brackets-and-settlement.md which does not exist inside this package. 6.0 manifest: no network, no file writes, no env/credential reads, no persistence; capabilities match declared scope; no injection, no secrets.