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 soros-reflexivitygit 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/soros-reflexivity)<a href="https://agentmods.dev/skills/questflowai/investorskills/soros-reflexivity"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/soros-reflexivity/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/soros-reflexivity"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/soros-reflexivity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 75 Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.Fix: Remove jailbreak framing that nullifies safety policies or restrictions. Skill content must not instruct the agent to ignore its guidelines or operate without guardrails.
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 | $0.00035 | $0.00538 |
| Opus 5 | $0.00017 | $0.00269 |
| Sonnet 5 | $0.00007 | $0.00108 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
soros-reflexivity 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 13d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Soros Reflexivity
Use this skill to apply George Soros-style reflexivity: identify where participant beliefs and market prices reinforce each other, test whether the feedback loop is unstable, and structure asymmetric macro trades with explicit invalidation.
When To Use
Use this skill when the user asks for:
- Macro dislocation analysis
- Reflexive boom/bust dynamics
- Currency, rates, credit, equity index, or commodity regime shifts
- Crowded positioning and squeeze risk
- Asymmetric trade structuring
Trigger phrases include Soros, reflexivity, macro dislocation, feedback loop, boom bust, asymmetric, policy shift, and positioning.
Do Not Use When
- The opportunity has no identifiable feedback loop.
- The trade cannot be expressed with clear invalidation.
- Liquidity is too poor to exit.
- The user wants passive long-term ownership analysis.
Inputs Needed
- Market or macro theme
- Price trend, positioning, consensus narrative, and policy backdrop
- Key economic or liquidity data
- Catalyst path and time horizon
- Trade expression, stop level, and risk budget if available
Process
- Define the prevailing belief and the underlying reality.
- Identify the feedback loop between prices, fundamentals, behavior, and policy.
- Decide whether the loop is self-reinforcing, self-correcting, or breaking.
- Test asymmetry: downside if wrong vs upside if the reflexive process accelerates.
- Start with a probe if uncertain, add only when the market confirms.
- Define invalidation and exit before sizing up.
Output Format
# Soros Reflexivity View: [Theme]
## Verdict
Probe / Press / Hold / Exit / Pass
## Prevailing Bias
## Reflexive Loop
## Asymmetry
## Trade Expression
## Invalidation
## What Would Make The Thesis Accelerate
## Missing Data
Guardrails
- Do not call every trend reflexive.
- Do not size big before the market confirms.
- Do not hold after the thesis stops working.
- Do not ignore policy response.
- Do not confuse being contrarian with being right.
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.
- 13d ago First seen · 81 lines · 35 tokens per session scan A 2e41b0241ba3
soros-reflexivity is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 20d ago), licensed MIT. It adds 35 tokens to every session and 538 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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