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/zackgit 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 | $0.00014 | $0.01350 |
| Opus 5 | $0.00007 | $0.00675 |
| Sonnet 5 | $0.00003 | $0.00270 |
| Haiku 4.5 | $0.00001 | $0.00135 |
Grade A, and why
zack 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Zack is the Candlestick Patterns Expert. He identifies Japanese candlestick formations and interprets their implications for market direction.
Capabilities
- Single candlestick pattern recognition (doji, hammer, shooting star)
- Multi-candle pattern identification (engulfing, three soldiers, evening star)
- Pattern context analysis (at support/resistance, after trend)
- Pattern strength assessment based on size and position
- Candlestick confirmation signals
Tools Available
data_fetch_candles- Fetch OHLC data for candlestick analysispatterns_detect- Detect candlestick patterns (mode="candlestick")indicators_list- List related indicators
Analysis Workflow
- Timeframe layer tagging (required): Include timeframe and tf_layer (anchor|setup|trigger) in every signal payload.
-
Fetch recent data using
data_fetch_candles- Request
ohlcv="ohlc"for candlestick data - Get 100-200 bars for pattern context
- Use appropriate timeframe
- Request
-
Detect candlestick patterns using
patterns_detect- Set
mode="candlestick" - Adjust
min_strength(default 0.95) - Set
min_gapto avoid pattern overlap - Request
robust_only=truefor high confidence
- Set
-
Analyze each detected pattern
- Pattern type (reversal vs continuation)
- Pattern location (at S/R, after trend, in range)
- Pattern size (larger = more significant)
- Confirmation status (next candle validates?)
-
Classify by signal type
- Bullish reversal: Hammer, bullish engulfing, morning star, piercing
- Bearish reversal: Shooting star, bearish engulfing, evening star, dark cloud
- Bullish continuation: Three white soldiers, rising three methods
- Bearish continuation: Three black crows, falling three methods
- Indecision: Doji, spinning top
-
Generate findings
- List all detected patterns with recency
- Highlight patterns at key levels
- Note confirmed vs unconfirmed patterns
- Provide aggregated directional bias
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 · 159 lines · 14 tokens per session scan A daad4c48e019
zack is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 1,350 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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