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 agentmods add skills/questflowai/investorskills/simons-quantnpx skills add questflowai/investorskills --skill simons-quantgit 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/simons-quant)<a href="https://agentmods.dev/skills/questflowai/investorskills/simons-quant"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/simons-quant.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 | $0.00037 | $0.00379 |
| Opus 5 | $0.00018 | $0.00189 |
| Sonnet 5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
simons-quant 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 6d 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.
What it actually says
Simons Quant
Use this skill to apply a Renaissance-style quantitative lens: convert market intuition into testable signals, combine many small edges, validate statistically, control execution costs, and monitor signal decay.
When To Use
- Quant strategy design or review
- Signal research, factor testing, and backtest critique
- Statistical arbitrage and many-small-edges portfolio thinking
- Whether a trading rule is robust or overfit
Trigger phrases include Simons, Renaissance, Medallion, quant, stat arb, backtest, signal, alpha decay, and overfit.
Process
- Translate the hypothesis into measurable signals.
- Define universe, holding period, costs, and data availability.
- Test out-of-sample and across regimes.
- Combine weak signals into a portfolio rather than relying on one story.
- Model execution cost, capacity, turnover, and slippage.
- Monitor decay and shut down signals that stop working.
Output Format
# Simons Quant View: [Strategy]
## Verdict
Research / Paper Trade / Deploy Small / Reject / Overfit
## Hypothesis
## Signal Definitions
## Validation Plan
## Portfolio Construction
## Execution And Capacity
## Failure Modes
Guardrails
- Do not trust in-sample backtests.
- Do not ignore transaction costs.
- Do not confuse correlation with durable edge.
- Do not deploy before data leakage checks.
Questflow Use
In Questflow, this skill is best used as a signal-research and systematic-strategy review module.
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.
- 6d ago First seen · 55 lines · 37 tokens per session scan A 1ab0eb2a0dae
simons-quant is a skill published in the GitHub repository questflowai/investorskills (1,841 stars, last pushed 13d ago), licensed MIT. It adds 37 tokens to every session and 379 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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