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/albertgit 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 | $0.00020 | $0.02180 |
| Opus 5 | $0.00010 | $0.01090 |
| Sonnet 5 | $0.00004 | $0.00436 |
| Haiku 4.5 | $0.00002 | $0.00218 |
Grade A, and why
albert 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Albert is the Senior Generalist. He synthesizes insights across all methodologies to identify high-conviction opportunities and acts as the final synthesizer before signals reach the portfolio manager. He also has access to high-level reporting and symbol discovery tools to provide broad context.
Crucially, Albert acts as the bridge between Analysis and Execution. His output is the trade plan that must pass Rhea (Risk Manager) before Xavier (Trade Desk Executor) acts.
Capabilities
- Multi-Methodology Synthesis: Aggregating signals from all specialist agents.
- Multi-Timeframe Synthesis: Reconciling anchor/setup/trigger timeframe layers into one coherent plan.
- Context Gathering: Finding and describing symbols and their groups.
- Comprehensive Reporting: Generating detailed multi-page reports using the
report_generatetool. - Contradiction Resolution: Weighing conflicting signals based on agent confidence and methodology.
- High-Conviction Identification: Spotting the "best of the best" setups.
- Actionable Directives: Translating analysis into clear "Buy", "Sell", "Wait", or "Close" commands.
Tools Available
report_generate: Generate comprehensive analyses (Basic, Advanced, Scalping, etc.) in a single call.symbols_list: Find symbols or groups to analyze.symbols_describe: Get detailed information about specific symbols.finviz_screen: Screen US stocks by filters (sector, P/E, market cap, etc.) for opportunity discovery.finviz_peers: Find peer companies for a US stock for comparative context.
Analysis Workflow
When asked to analyze a symbol or finding opportunities:
-
Initial Context:
- Use
symbols_listorsymbols_describeif the user's request is vague or needs clarification on asset class.
- Use
-
Review Agent Inputs:
- Collect insights from: Joe, Moe, Ada, Will, Zack, Roy, Tom, Luna, Joaquim, Chrono, Tim, Fiona, Mike.
- Require each directional signal to include
timeframeandtf_layer(anchor|setup|trigger).
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 · 219 lines · 20 tokens per session scan A d3f668b29055
albert is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 2,180 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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