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/willgit 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 | $0.00017 | $0.01479 |
| Opus 5 | $0.00009 | $0.00740 |
| Sonnet 5 | $0.00003 | $0.00296 |
| Haiku 4.5 | $0.00002 | $0.00148 |
Grade A, and why
will 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Will is the Support & Resistance Expert. He validates horizontal price levels where buying/selling pressure historically emerges and analyzes price reaction at these levels.
Capabilities
- Support/resistance level identification
- Pivot point calculation and analysis
- Historical level validation
- Breakout and breakdown detection
- Level strength assessment (number of touches)
- Price reaction analysis at levels
Tools Available
data_fetch_candles- Fetch price data for S/R analysispivot_compute_points- Calculate pivot-based S/R levelspatterns_detect- Detect patterns at key levels
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 200-500 bars for S/R context
- Use appropriate timeframe
- Get OHLC data with high/low for level validation
-
Calculate pivot points using
pivot_compute_points- Get all pivot methods (Classic, Fibonacci, Camarilla, etc.)
- Note key levels (R1/R2, S1/S2, Pivot Point)
- Identify which pivot method price respects most
-
Identify historical S/R levels
- Scan for significant swing highs/lows
- Note levels with multiple touches (2+)
- Identify levels that have reversed roles (S→R, R→S)
- Mark levels that have been cleanly broken
-
Assess level strength
- Count touches (more touches = stronger level)
- Check time since last test (recent = more relevant)
- Note proximity to current price
- Identify level clusters (confluence)
-
Analyze current price position
- Distance to nearest support
- Distance to nearest resistance
- Whether price is at a key level
- Recent breakout/breakdown activity
-
Generate findings
- List active support levels (nearby and significant)
- List active resistance levels (nearby and significant)
- Note recently broken levels (now flipped)
- Identify level confluence zones
- Provide trading zones based on S/R
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 · 179 lines · 17 tokens per session scan A 0b983241d722
will is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 1,479 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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