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 somnus0x/agt-skill-pack --skill market-brief-setupgit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/somnus0x/agt-skill-pack/market-brief-setup)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/market-brief-setup"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/market-brief-setup/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/somnus0x/agt-skill-pack/market-brief-setup"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/market-brief-setup.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 | $0.00043 | $0.01965 |
| Opus 5.5 | $0.00017 | $0.00786 |
| Sonnet 5.5 | $0.00009 | $0.00393 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
market-brief-setup 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s 'https://api.coingecko.com/api/v3/simple/price?ids=bitcoin,ethereum,solana&vs_currencies=usd&include_24hr_change=true' \ How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Live-Data Brief Setup — stop making AI guess from half-loaded pages
You want AI to summarize live data every morning — market prices, metrics, whatever updates daily. The obvious way is to let it browse and fetch while it writes the summary. That way is wrong, and it's why your numbers come out garbled.
This skill gives you the pattern that fixes it: separate the fetch from the generation.
Why your numbers come out wrong
When you ask AI to "go check the price and summarize," it fetches a page mid-generation, reads whatever loaded, and writes confidently from incomplete data. It doesn't know the page wasn't done loading. So it guesses — yesterday's number, a half-rendered value, or a hallucinated one — and presents it like fact.
The AI isn't dumb. It just has nothing complete to read, so it fills the gap. The fix isn't a smarter model. It's not asking it to fetch and reason at the same time.
The pattern — two beats, never one
Beat 1 — fetch ahead of time (cron). Pull each data source, write it to a JSON file. This runs before you (or the AI) need the brief.
Beat 2 — one prompt reads the files. The AI never touches the network. It reads the cached files and summarizes. Complete data in, no guessing.
cron (fetch) ──> data/*.json ──> one prompt (read + summarize) ──> brief
When to use
Any recurring "summarize live data" job: morning market brief, daily metrics digest, ops dashboard summary, anything where AI reasons over numbers that change.
Say: "setup data brief", "morning brief pipeline", "stop AI guessing numbers", "cron data cache for AI".
Step 1 — The default source stack, write fetchers
These 6 free sources are the working default for a crypto/macro morning brief. All free, two need no key. Start here, then drop the ones you don't read and add the ones you do — but you start with a stack that works, not a blank file.
- Prices — CoinGecko (no key)
- Fear & Greed — alternative.me (no key)
- MACD / RSI — derived from historical candles (CoinGecko market_chart)
- Long/Short ratio — Binance Futures (open)
- Rates + yield curve — FRED (free key, 1-min signup)
- Stocks / VIX / gold — yfinance (free)
What ships with it
2 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.
- 1mo ago First seen · 166 lines · 43 tokens per session scan A c5c176c7a35a
market-brief-setup is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,965 once invoked, about $0.0002 per session on Opus 5.5. 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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