aeon-monitor-kalshi/SKILL.md
Watchlist-driven Kalshi prediction-market monitor with cross-venue arb detection vs paired Polymarket markets (fee + slippage adjusted). Surfaces price moves, volume spikes, resolution proximity, and kill-criterion triggers on tracked positions. Silent on unchanged markets. Requires a CFTC-compliant Kalshi account. Triggers: "watch my kalshi markets", "did anything move on kalshi", "kalshi vs polymarket on X", "alert on price changes for my kalshi watchlist".
npx skillsauth add bankrbot/skills aeon-monitor-kalshiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Designed to pair with aeon-monitor-polymarket so the same thesis can be tracked across two regulatory wrappers — CFTC-regulated event contracts on Kalshi vs on-chain on Polymarket.
markets:
- ticker: PRES-2028-DEM
side: NO
entry: 0.62
target: 0.45
kill: 0.78
- ticker: FED-RATE-MAR-25BP
side: YES
entry: 0.34
target: 0.55
kill: 0.20
cross_venue_pairs:
- kalshi: PRES-2028-DEM
polymarket: us-election-2028-winner
fair_spread_bps: 50 # alert if arb opens beyond this
Price move ≥ ±5% in 24h, volume spike > 3× 7-day average, resolution within 7 days, kill criterion hit, cross-venue arb spread > fair_spread_bps after fees and slippage. Silent on unchanged.
# Market detail
curl -s "https://trading-api.kalshi.com/trade-api/v2/markets/${ticker}" \
-H "Authorization: Bearer ${KALSHI_TOKEN}"
# Orderbook
curl -s "https://trading-api.kalshi.com/trade-api/v2/markets/${ticker}/orderbook" \
-H "Authorization: Bearer ${KALSHI_TOKEN}"
For paired markets, compute spread between Kalshi YES and equivalent Polymarket YES. Adjust for:
Surface only when net edge after fees + slippage clears the configured fair-spread threshold.
Kalshi requires a U.S. CFTC-compliant account, so the skill is read-only here. The Polymarket leg of a cross-venue arb can be executed via Bankr Submit / AgenticBets while the operator handles Kalshi manually.
KALSHI_API_TOKEN from your Kalshi account dashboard.
data-ai
Discover, bet on, track, and settle Hunch prediction markets in natural language. Trigger when a user wants to bet, take a position, or get odds on a crypto outcome — token market-cap milestones and flips, launchpad races (Bankr vs pump.fun volume / #1-days / launches over a cap), token head-to-head outperformance, mcap strike-ladders, and up/down price rounds. Also trigger on "what can I bet on about $TOKEN", "odds on …", "take YES/NO on …", "show my Hunch bets", "did my market resolve". Settles in USDC on Base via x402 (≤ $10 / bet); every bet returns an on-chain proof.
tools
HSM-backed secret management for AI agents. Store API keys (including Bankr `bk_` keys), passwords, and credentials in an encrypted vault; retrieve them at runtime via MCP without keeping secrets in chat context. Bankr Dynamic Key Vending issues short-lived scoped `bk_usr_` keys from a partner key (`bk_ptr_`) without manual rotation. Policy-based access control, secret rotation, sharing, EVM transaction intents (sign/simulate/broadcast), multi-chain signing keys, treasury multisig proposals, OIDC federation for external service auth, built-in prompt injection detection, and optional Shroud TEE LLM proxy. Use when the agent needs secure credential storage, just-in-time secret access, guarded on-chain signing, or security scanning — not for Bankr trading prompts, portfolio checks, or x402 calls (use the bankr skill instead).
testing
Stake $GEM tokens on Gem Miner (gemminer.app) to earn yield and unlock the in-game earn/cashout system. Use when the user wants to stake GEM, check their staking balance or rewards, unstake, claim rewards, or check whether they meet the 25M GEM gate. Base mainnet only.
development
CodeGrid is a native macOS canvas where multiple coding agents (Claude, Codex, Gemini, Cursor, Grok, shells) run side by side in panes and collaborate via a local agent bus — no tmux, no cloud, no account, no stored API keys. Install this skill when an agent should know how to operate inside a CodeGrid pane, drive the workspace from outside (control socket or codegrid:// deep links), spawn or message sibling agents, or coordinate multi-agent work (delegate, review, pipeline, parallel fan-out, monitor, debate). The differentiator: multiple coding agents collaborating on one canvas, addressable by stable session_id, with a read → message → read protocol built for orchestration.