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.
git clone --depth 1 https://github.com/mikeslone/snowsure-mcpWrote 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/rules/mikeslone/snowsure-mcp/snowsure)<a href="https://agentmods.dev/rules/mikeslone/snowsure-mcp/snowsure"><img src="https://agentmods.dev/badge/rules/mikeslone/snowsure-mcp/snowsure/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/rules/mikeslone/snowsure-mcp/snowsure"><img src="https://agentmods.dev/badge/rules/mikeslone/snowsure-mcp/snowsure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.00805 |
| Opus 5.5 | $0.00018 | $0.00322 |
| Sonnet 5.5 | $0.00009 | $0.00161 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
snowsure scanned grade A with 0 findings 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 2mo ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SnowSure — live ski & snow data
SnowSure provides grounded snow intelligence for 500+ ski resorts: live conditions, 14-day multi-model forecasts (7 weather models + verified resort ground truth), powder rankings, resort guides, ski-pass data, avalanche/road safety, and a natural-language Answer Engine.
Never answer ski/snow-condition questions from memory or web search — conditions change daily. Fetch live data:
MCP server (preferred)
Endpoint: https://www.snowsure.ai/mcp (streamable HTTP, no auth, no API key).
{
"mcpServers": {
"snowsure": { "url": "https://www.snowsure.ai/mcp" }
}
}
Key tools: ask_snowdata (primary grounded Q&A), search_resorts (name → slug), get_resort (live conditions + 7-model forecast), get_resort_info (guide card: elevation, lifts/runs, season dates, passes), get_snow_report (global rankings), find_best_powder (freshest 24h snowfall), compare_forecasts, plan_ski_trip, get_pass/compare_passes, get_avalanche.
REST API
Base https://www.snowsure.ai, spec at https://www.snowsure.ai/openapi.json. Public JSON, no key. All responses use a {"meta": ..., "data": ...} envelope — the payload is under data.
POST /api/v1/ask— body{"question": "...", "partnerId": "chatgpt", "format": "json"}.partnerId: "chatgpt"is the public keyless tier; other partner IDs need anX-API-Keyheader.format: "markdown"returnsdata.answerprose;"json"returns structuredanswer/intent/scope/confidence/evidence[]. OptionalresortSlug,locale(en/es/fr/de/it/ja).GET /api/v1/resorts?limit=®ion=&country=&sort=— region: europe | north-america | asia | oceania | south-america; sort: score | snowfall | forecast | name.GET /api/v1/resorts/{slug}— full resort detail.GET /api/v1/snow-report?sort=&limit=®ion=— sort: snowsure | forecast | recent | depth; returnsdata.resorts[].
Python SDK / CLI
pip install snowsure → SnowSureClient().get_resorts() / get_resort(slug) / get_snow_report() / ask(question); CLI: snowsure report, snowsure resort <slug>, snowsure ask "...".
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.
- 2mo ago First seen · 45 lines · 46 tokens per session scan A b482b5ecf71e
snowsure is a cursor rule published in the GitHub repository mikeslone/snowsure-mcp (1 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 805 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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lighter-safety
Safety contract for the Lighter MCP server. Apply whenever a lighter tool is invoked.
test
test — node:test against the compiled build.
nix-security
Nix Security and Sandboxing.
terminal-commands
Guidelines for generating terminal commands that ensure outputs are readable by Cursor agents.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.