Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SpartanLabsXyz/simmer-sdk --skill kalshi-weather-tradergit clone --depth 1 https://github.com/SpartanLabsXyz/simmer-sdkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/kalshi-weather-trader)<a href="https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/kalshi-weather-trader"><img src="https://agentmods.dev/badge/skills/spartanlabsxyz/simmer-sdk/kalshi-weather-trader/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/spartanlabsxyz/simmer-sdk/kalshi-weather-trader"><img src="https://agentmods.dev/badge/skills/spartanlabsxyz/simmer-sdk/kalshi-weather-trader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 58 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.02114 |
| Opus 5 | $0.00028 | $0.01057 |
| Sonnet 5 | $0.00011 | $0.00423 |
| Haiku 4.5 | $0.00006 | $0.00211 |
Grade A, and why
kalshi-weather-trader scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Check status: `curl "https://api.simmer.markets/api/proof/status?wallet=YOUR_SOLANA_ADDRESS"` How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kalshi Weather Trader
Trade temperature markets on Kalshi using NOAA forecast data, via DFlow on Solana.
🚨 Framework, not a production trading system. Read DISCLAIMER.md before connecting to a wallet with real funds.
This is a template. The default signal is NOAA temperature forecasts — remix it with other weather APIs, different forecast models, or additional market types (precipitation, wind, etc.). The skill handles all the plumbing (market discovery, NOAA parsing, trade execution, safeguards). Your agent provides the alpha.
Powered by DFlow. Kalshi trades execute via DFlow's Solana-based prediction market infrastructure. KYC verification through Proof is required for buys.
When to Use This Skill
Use this skill when the user wants to:
- Trade weather markets on Kalshi (not Polymarket)
- Set up automated temperature trading on Kalshi
- Check their Kalshi weather trading positions
- Configure trading thresholds or locations
Setup Flow
When user asks to install or configure this skill:
-
Install the Simmer SDK
pip install simmer-sdk -
Ask for Simmer API key
- They can get it from simmer.markets/dashboard → SDK tab
- Store in environment as
SIMMER_API_KEY
-
Ask for Solana private key (required for live trading)
- This is the base58-encoded secret key for their Solana wallet
- Store in environment as
SOLANA_PRIVATE_KEY - The SDK uses this to sign transactions client-side automatically
-
Verify KYC
- Required for Kalshi buys (not sells)
- Complete at dflow.net/proof
- Check status:
curl "https://api.simmer.markets/api/proof/status?wallet=YOUR_SOLANA_ADDRESS"
-
Fund the wallet
- SOL on Solana mainnet for transaction fees (~0.01 SOL)
- USDC on Solana mainnet for trading capital
-
Ask about settings (or confirm defaults)
- Entry threshold: Upper bound for when to buy (default 15¢)
- Min entry price: Lower bound to skip lottery-ticket mids (default 0 = off)
- Min hours to resolve: Skip entries resolving too soon (default 2h; exits keep 2h)
- Exit threshold: When to sell (default 45¢)
- Max position: Amount per trade (default $2.00)
- Locations: Which cities to trade (default NYC)
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · +12 lines f6660db2b929
- 6d ago Changed 7ab2f4e705c7
- 12d ago First seen · 179 lines · 56 tokens per session scan A 551035d8bddb
kalshi-weather-trader is a skill published in the GitHub repository SpartanLabsXyz/simmer-sdk (48 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 2,114 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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