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 hugoguerrap/crypto-claude-desk --skill quickgit clone --depth 1 https://github.com/hugoguerrap/crypto-claude-deskWrote 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/hugoguerrap/crypto-claude-desk/quick)<a href="https://agentmods.dev/skills/hugoguerrap/crypto-claude-desk/quick"><img src="https://agentmods.dev/badge/skills/hugoguerrap/crypto-claude-desk/quick/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/hugoguerrap/crypto-claude-desk/quick"><img src="https://agentmods.dev/badge/skills/hugoguerrap/crypto-claude-desk/quick.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 | $0.00017 | $0.00289 |
| Opus 5 | $0.00009 | $0.00144 |
| Sonnet 5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
quick 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 9d 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.
What it actually says
Quick Market Check
Get a fast snapshot of $ARGUMENTS using a single agent. No team needed.
Workflow
-
Delegate using the Task tool with
subagent_type: general-purposeandmodel: haiku:"You are the market-monitor agent. Quick market snapshot for $ARGUMENTS. Use these MCP tools (call them in parallel):
- get_exchange_prices(symbol='{SYMBOL}/USDT') for live price, 24h change, volume
- get_fear_greed_index() for market sentiment
- get_funding_rate(symbol='{SYMBOL}') for futures funding rate Also run a WebSearch for '{SYMBOL} crypto news today' to catch any breaking events. Be concise — this is a quick check, not a full analysis. Do NOT use the Edit tool."
-
Present the result directly to the user. Keep it brief.
When to suggest deeper analysis
If the agent detects any of these, suggest running /analyze $ARGUMENTS:
- Price change >5% in 24h
- Extreme Fear or Extreme Greed
- Funding rate anomaly (>0.05% or <-0.05%)
- Volume spike >2x average
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.
- 9d ago First seen · 32 lines · 0 tokens per session scan A 329018741c11
quick is a skill published in the GitHub repository hugoguerrap/crypto-claude-desk (33 stars, last pushed 16d ago), licensed MIT. It adds 17 tokens to every session and 289 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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