A command that coordinates a multi-stage cryptocurrency market analysis. It sends different specialist agents to gather data and combine their findings into reports.

Analyzing one or more cryptocurrency symbols, collecting prices and market statistics, examining technical and trading data, and creating dated reports.

It organizes several analyses into phases, so later agents can use the reports created earlier. This avoids running each research task manually and separately.

analyze — Skill for Claude Code by hugoguerrap

Install

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.

Any agent

npx skills add hugoguerrap/crypto-claude-desk --skill analyze

Clone the repo

git clone --depth 1 https://github.com/hugoguerrap/crypto-claude-desk

Made for: Claude Code.

Or install crypto-trading-desk, the plugin that ships this one along with the rest of its 8 skills, 7 agents, 1 hook.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hugoguerrap/crypto-claude-desk/analyze/github.svg)](https://agentmods.dev/skills/hugoguerrap/crypto-claude-desk/analyze)

Your own site

<a href="https://agentmods.dev/skills/hugoguerrap/crypto-claude-desk/analyze"><img src="https://agentmods.dev/badge/skills/hugoguerrap/crypto-claude-desk/analyze/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hugoguerrap/crypto-claude-desk/analyze"><img src="https://agentmods.dev/badge/skills/hugoguerrap/crypto-claude-desk/analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,727 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00026	$0.01727
Opus 5	$0.00013	$0.00864
Sonnet 5	$0.00005	$0.00345
Haiku 4.5	$0.00003	$0.00173

Measured 11d ago against content hash 5b75a5a87784, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analyze 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 11d 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.

skills/analyze/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Full Crypto Analysis

Run a comprehensive analysis of $ARGUMENTS using 5 specialized agents in 3 sequential phases. Each phase writes a report file; the next phase reads those files before starting.

All agents use subagent_type: general-purpose with explicit model to ensure MCP tool access. Include "Do NOT use the Edit tool" in every prompt.

Workflow

Phase 0: Setup

Create directory: data/reports/YYYY-MM-DD-{symbol}/ (use today's date)

Phase 1: Data Gathering (3 agents in parallel)

Spawn ALL 3 agents simultaneously using the Task tool. Do NOT wait for one before spawning the next — launch all 3 in a single response.

market-monitor — Task with subagent_type: general-purpose, model: haiku: "You are the market-monitor agent. Read agents/market-monitor.md for your full analysis framework. Gather real-time market data for $ARGUMENTS. Use crypto-exchange MCP (get_exchange_prices, fetch_ohlcv_data, analyze_volume_patterns) for ACCURATE current prices and volume. Use crypto-data MCP (get_fear_greed_index, get_dominance_stats, get_global_market_stats) for market metadata. Use crypto-futures MCP (get_funding_rate, get_open_interest, get_long_short_ratio) for derivatives data. Use WebSearch for whale alerts and breaking news. Write your complete report to data/reports/YYYY-MM-DD-{symbol}/market-data.md. Do NOT use the Edit tool."
technical-analyst — Task with subagent_type: general-purpose, model: sonnet: "You are the technical-analyst agent. Read agents/technical-analyst.md for your full analysis framework. Run full technical analysis for $ARGUMENTS. First call get_prediction_track_record(agent='technical-analyst', symbol='{SYMBOL}/USDT') from crypto-learning-db to check your past accuracy — calibrate your analysis based on where you've been right/wrong. Use crypto-technical MCP (calculate_rsi, calculate_macd, calculate_bollinger_bands, detect_chart_patterns, calculate_moving_averages, get_support_resistance, generate_trading_signals). Use crypto-advanced-indicators MCP (calculate_ichimoku, calculate_vwap, calculate_adx, calculate_obv, detect_divergences). Use crypto-exchange MCP (fetch_ohlcv_data) for price data. Write your complete report to data/reports/YYYY-MM-DD-{symbol}/technical-analysis.md. Do NOT use the Edit tool."

Read the full file on GitHub · 114 lines

Changes

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.

11d ago First seen · 114 lines · 0 tokens per session scan A 5b75a5a87784

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository hugoguerrap/crypto-claude-desk (33 stars, last pushed 18d ago), licensed MIT. It adds 26 tokens to every session and 1,727 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.

Claude Code Finance and fintech ai-agents anthropic claude-code-plugin crypto-trading cryptocurrency

pricing-refresh

Refresh or verify the hermit cost rate table against Anthropic's live pricing. Use when the operator says "refresh pricing", "verify pricing", "is the rate table current", "new model pricing", or asks whether scripts/lib/pricing.ts matches current Codex rates. Maintainer-only; never autonomous, never a routine, never…

gtapps/claude-code-hermit · 76 tokens

fintech-expert

Expert in financial technology, payment processing, open banking APIs, PSD2, blockchain in finance, robo-advisors, and RegTech. Use when the user mentions payments, open banking, PSD2, blockchain, cryptocurrency, or robo advisor, or when the task involves Payment Processing, Blockchain in Finance, Payment Security, or…

personamanagmentlayer/pcl · 73 tokens

analyze