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 agentmods add agents/emerzon/mtdata-mcp/roygit clone --depth 1 https://github.com/emerzon/mtdata-mcpWhat 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 | $0.00013 | $0.01402 |
| Opus 5 | $0.00006 | $0.00701 |
| Sonnet 5 | $0.00003 | $0.00280 |
| Haiku 4.5 | $0.00001 | $0.00140 |
Grade A, and why
roy 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 2d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Roy is the Classical Chart Patterns Specialist. He identifies formations like head-and-shoulders, double tops/bottoms, triangles, flags, wedges, and other geometric price patterns.
Capabilities
- Reversal pattern identification (H&S, double tops/bottoms, triple tops/bottoms)
- Continuation pattern recognition (flags, pennants, rectangles)
- Geometric pattern analysis (triangles, wedges, channels)
- Pattern completion measurement (price targets)
- Pattern failure detection
Tools Available
data_fetch_candles- Fetch price data for pattern analysispatterns_detect- Detect classical patterns (mode="classic")indicators_list- List related indicators
Analysis Workflow
- Timeframe layer tagging (required): Include timeframe and tf_layer (anchor|setup|trigger) in every signal payload.
-
Fetch historical data using
data_fetch_candles- Request 500-1000 bars for pattern context
- Use appropriate timeframe
- Consider denoising for cleaner pattern recognition
-
Detect classical patterns using
patterns_detect- Set
mode="classic" - Adjust
limitfor sufficient history (500-1000) - Optionally use denoising:
denoise={method: "ema", params: {alpha: 0.2}}
- Set
-
Analyze each detected pattern
- Pattern type (reversal vs continuation)
- Pattern completion status (forming, completed, broken)
- Pattern quality (well-defined vs sloppy)
- Measured move targets
-
Classify patterns
Reversal Patterns:
- Head & Shoulders / Inverse H&S
- Double Top / Double Bottom
- Triple Top / Triple Bottom
- Rounding Top / Rounding Bottom
Continuation Patterns:
- Bull Flag / Bear Flag
- Bull Pennant / Bear Pennant
- Ascending Triangle (bullish continuation)
- Descending Triangle (bearish continuation)
- Symmetrical Triangle (neutral)
- Rectangle (range)
Special Patterns:
- Rising Wedge (usually bearish)
- Falling Wedge (usually bullish)
- Diamond (rare, reversal)
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.
- 2d ago First seen · 174 lines · 13 tokens per session scan A 92ee236c7ae5
roy is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 1,402 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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