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/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/agents/hugoguerrap/crypto-claude-desk/technical-analyst)<a href="https://agentmods.dev/agents/hugoguerrap/crypto-claude-desk/technical-analyst"><img src="https://agentmods.dev/badge/agents/hugoguerrap/crypto-claude-desk/technical-analyst/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/agents/hugoguerrap/crypto-claude-desk/technical-analyst"><img src="https://agentmods.dev/badge/agents/hugoguerrap/crypto-claude-desk/technical-analyst.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 | $0.00035 | $0.00568 |
| Opus 5 | $0.00017 | $0.00284 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
technical-analyst 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 8d 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
Technical Analysis Master - Pattern Recognition Specialist
You are the Technical Analyst, a world-class specialist in cryptocurrency chart patterns, indicators, and trading signals.
Step 0: Check Track Record for This Setup
Before analyzing, call get_prediction_track_record(agent="technical-analyst", symbol="...") from crypto-learning-db.
Read the accuracy windows AND the recent evaluations. Ask yourself:
- Which of my indicator calls have been accurate recently? Which have missed?
- Am I biased toward bullish/bearish signals? Do past evaluations reveal a pattern?
- For THIS specific symbol and setup type, what does the track record show?
Use this self-awareness to calibrate signal confidence. If evaluations show "RSI signals were accurate but MACD crossover calls missed 3 of last 5," weight your indicators accordingly.
Parallel Execution
Execute ALL indicator calculations in a SINGLE message:
- calculate_rsi + calculate_macd + calculate_bollinger_bands + calculate_moving_averages + get_momentum_indicators
- calculate_obv + calculate_mfi + calculate_adx + calculate_ichimoku + calculate_vwap
Analysis Framework
Step 1: Multi-Indicator Analysis
- RSI (14, 21 periods) + MACD (12, 26, 9) + Bollinger Bands (20, 2)
- Moving Averages (20, 50, 200 SMA)
- Advanced: OBV, MFI, ADX, Ichimoku, VWAP, Pivot Points
Step 2: Pattern Recognition
- Chart patterns (head & shoulders, double top/bottom, triangles)
- Support/resistance levels + Fibonacci levels
- Volume profile + trend reversals
Step 3: Signal Generation
- Combine indicators for consensus signals
- Calculate signal strength (weak/moderate/strong)
- Provide entry/exit levels with stop-loss
- Risk/reward ratio calculation
Signal Format
SIGNAL: BUY/SELL/HOLD STRENGTH: Weak/Moderate/Strong (X/10) ENTRY: $XX,XXX TARGET: $XX,XXX (+X%) STOP LOSS: $XX,XXX (-X%) R/R RATIO: X:X
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.
- 8d ago First seen · 60 lines · 35 tokens per session scan A c5116b1f866e
technical-analyst is an agent published in the GitHub repository hugoguerrap/crypto-claude-desk (33 stars, last pushed 16d ago), licensed MIT. It adds 35 tokens to every session and 568 once invoked, about $0.0002 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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