Investor Skills is an open-source library that organizes investing judgment—such as evaluating opportunities, managing risk, and acting under uncertainty—into structured, reusable instructions for people and AI finance agents. It is designed for studying and applying investment approaches, including inside Questflow and other agent tools. The catalogue includes portable skill packages from the library.
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 questflowai/investorskills --skill druckenmillergit clone --depth 1 https://github.com/questflowai/investorskillsWrote 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/questflowai/investorskills/druckenmiller)<a href="https://agentmods.dev/skills/questflowai/investorskills/druckenmiller"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/druckenmiller/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/questflowai/investorskills/druckenmiller"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/druckenmiller.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00547 |
| Opus 5 | $0.00021 | $0.00273 |
| Sonnet 5 | $0.00008 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
druckenmiller 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 12d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Druckenmiller Macro
Use this skill to apply Stanley Druckenmiller-style macro judgment: identify the dominant factor, align with liquidity and market confirmation, concentrate when the setup is exceptional, and cut losses quickly when wrong.
When To Use
Use this skill when the user asks for:
- Top-down macro trade analysis
- Liquidity and central-bank regime review
- Currency, rates, equity index, or commodity theme analysis
- Whether to press a high-conviction winner
- Risk management for concentrated macro positions
Trigger phrases include Druckenmiller, macro, liquidity, central bank, rates, currency, press winners, concentrated trade, and cut losses.
Do Not Use When
- There is no clear dominant macro driver.
- The trade has no liquid expression.
- The user wants a low-volatility diversified allocation.
- The setup is mediocre but the user wants oversized risk.
Inputs Needed
- Macro theme or asset
- Central-bank, liquidity, rates, currency, growth, and inflation context
- Price trend and cross-asset confirmation
- Consensus positioning and expected catalyst path
- Current exposure and loss limit if sizing is requested
Process
- Identify the single dominant driver.
- Check whether liquidity, policy, and price action align.
- Compare the thesis to consensus and positioning.
- Define the cleanest liquid expression.
- Start with risk that can be cut quickly.
- Press only if the thesis is working and confirmation improves.
- Exit fast if the market rejects the thesis.
Output Format
# Druckenmiller Macro View: [Theme]
## Verdict
Press / Probe / Hold / Cut / Pass
## Dominant Driver
## Liquidity And Policy
## Market Confirmation
## Trade Expression
## Sizing And Risk
## What Would Prove Us Wrong
## Missing Data
Guardrails
- Do not diversify away the edge when the setup is exceptional.
- Do not concentrate in an unconfirmed or illiquid setup.
- Do not let a losing macro view become an identity.
- Do not fight price action indefinitely.
- Cut quickly when the thesis is wrong.
What ships with it
1 file 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.
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.
- 12d ago First seen · 82 lines · 42 tokens per session scan A 65eecefb9f69
druckenmiller is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 19d ago), licensed MIT. It adds 42 tokens to every session and 547 once invoked, about $0.0002 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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