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 skills add mphinance/alpha-skills --skill stanley-druckenmiller-investmentgit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/skills/mphinance/alpha-skills/stanley-druckenmiller-investment)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/stanley-druckenmiller-investment"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/stanley-druckenmiller-investment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/stanley-druckenmiller-investment"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/stanley-druckenmiller-investment.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00168 | $0.01964 |
| Opus 5.5 | $0.00067 | $0.00786 |
| Sonnet 5.5 | $0.00034 | $0.00393 |
| Haiku 4.5 | $0.00017 | $0.00196 |
Grade A, and why
stanley-druckenmiller-investment 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 1mo 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Druckenmiller Strategy Synthesizer
Purpose
Synthesize outputs from 8 upstream analysis skills (5 required + 3 optional) into a single composite conviction score (0-100), classify the market into one of 4 Druckenmiller patterns, and generate actionable allocation recommendations. This is a meta-skill that consumes structured JSON outputs from other skills — it requires no API keys of its own.
When to Use This Skill
English:
- User asks "What's my overall conviction?" or "How should I be positioned?"
- User wants a unified view synthesizing breadth, uptrend, top risk, macro, and FTD signals
- User asks about Druckenmiller-style portfolio positioning
- User requests strategy synthesis after running individual analysis skills
- User asks "Should I increase or decrease exposure?"
- User wants pattern classification (policy pivot, distortion, contrarian, wait)
Japanese:
- 「総合的な市場判断は？」「今のポジショニングは？」
- ブレッドス、アップトレンド、天井リスク、マクロの統合判断
- 「エクスポージャーを増やすべき？減らすべき？」
- 「ドラッケンミラー分析を実行して」
- 個別スキル実行後の戦略統合レポート
Input Requirements
Required Skills (5)
| # | Skill | JSON Prefix | Role |
|---|---|---|---|
| 1 | Market Breadth Analyzer | market_breadth_ |
Market participation breadth |
| 2 | Uptrend Analyzer | uptrend_analysis_ |
Sector uptrend ratios |
| 3 | Market Top Detector | market_top_ |
Distribution / top risk (defense) |
| 4 | Macro Regime Detector | macro_regime_ |
Macro regime transition (1-2Y structure) |
| 5 | FTD Detector | ftd_detector_ |
Bottom confirmation / re-entry (offense) |
Optional Skills (3)
| # | Skill | JSON Prefix | Role |
|---|---|---|---|
| 6 | VCP Screener | vcp_screener_ |
Momentum stock setups (VCP) |
| 7 | Theme Detector | theme_detector_ |
Theme / sector momentum |
| 8 | CANSLIM Screener | canslim_screener_ |
Growth stock setups + M(Market Direction) |
Run the required skills first. The synthesizer reads their JSON output from reports/.
Execution Workflow
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/strategy_report_template.md 3.5 KB
- README.md 8.1 KB
- references/case-studies.md 5.9 KB
- references/conviction_matrix.md 4.3 KB
- references/investment-philosophy.md 5.3 KB
- references/market-analysis-guide.md 5.8 KB
- scripts/allocation_engine.py 5.0 KB runs code
- scripts/report_generator.py 15 KB runs code
- scripts/report_loader.py 12 KB runs code
- scripts/scorer.py 18 KB runs code
- scripts/strategy_synthesizer.py 7.4 KB runs code
- scripts/tests/conftest.py 6.9 KB runs code
- scripts/tests/test_allocation_engine.py 6.0 KB runs code
- scripts/tests/test_report_generator.py 9.7 KB runs code
- scripts/tests/test_report_loader.py 7.8 KB runs code
- scripts/tests/test_scorer.py 19 KB runs code
- scripts/tests/test_strategy_synthesizer.py 4.4 KB runs code
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.
- 1mo ago First seen · 183 lines · 168 tokens per session scan A 8048d1134f92
stanley-druckenmiller-investment is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 168 tokens to every session and 1,964 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-14.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
china-portfolio-monitoring
A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.