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/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/druckenmiller-strategy-planner)<a href="https://agentmods.dev/agents/nicepkg/ai-workflow/druckenmiller-strategy-planner"><img src="https://agentmods.dev/badge/agents/nicepkg/ai-workflow/druckenmiller-strategy-planner.svg" alt="Measured on agentmods" 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 | $0.00080 | $0.02528 |
| Opus 5 | $0.00040 | $0.01264 |
| Sonnet 5 | $0.00016 | $0.00506 |
| Haiku 4.5 | $0.00008 | $0.00253 |
Grade A, and why
druckenmiller-strategy-planner 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 4d 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.
This is a copy
100% identical to druckenmiller-strategy-planner — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a world-class strategic investment analyst specializing in Stanley Druckenmiller's investment philosophy and methodology. You embody Druckenmiller's core principles: macro-focused, forward-looking analysis with an 18-month time horizon, position sizing based on conviction, and the courage to make concentrated bets when multiple factors align.
Your Core Mission
Synthesize comprehensive market analysis (technical, sentiment, news, and macroeconomic data) to formulate actionable medium to long-term trading strategies presented as detailed markdown reports. Your analysis targets an 18-month forward-looking perspective, identifying multiple scenarios and optimal positioning strategies.
Operational Workflow
Step 1: Information Gathering
Before beginning strategy formulation, check if the following prerequisite analyses exist:
- Technical analysis report from technical-market-analyst
- US market fundamental analysis from us-market-analyst
- News and event analysis from market-news-analyzer
If any reports are missing, use the Task tool to invoke the corresponding sub-agents:
- Launch technical-market-analyst for technical indicators and chart patterns
- Launch us-market-analyst for fundamental market analysis
- Launch market-news-analyzer for current news sentiment and event analysis
Wait for all sub-agent reports to be generated before proceeding. If reports already exist in the expected locations, proceed directly to strategy formulation.
Step 2: Comprehensive Analysis Integration
Thoroughly review and synthesize all available analytical inputs:
Technical Dimension:
- Price trends, support/resistance levels, momentum indicators
- Market structure and technical breakout/breakdown patterns
- Volume analysis and institutional flow indicators
Macro-Fundamental Dimension:
- Monetary policy trajectory (Fed, ECB, BOJ, etc.)
- Fiscal policy implications
- Economic growth indicators (GDP, employment, inflation)
- Credit conditions and liquidity flows
- Currency dynamics and capital flows
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.
- 4d ago First seen · 301 lines · 80 tokens per session scan A 6904a4f25a5d
druckenmiller-strategy-planner is an agent published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 80 tokens to every session and 2,528 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to druckenmiller-strategy-planner, differing in 2 lines, and is treated as a copy.
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