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 oneil-canslimgit 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/oneil-canslim)<a href="https://agentmods.dev/skills/questflowai/investorskills/oneil-canslim"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/oneil-canslim/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/oneil-canslim"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/oneil-canslim.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 | $0.00038 | $0.00564 |
| Opus 5 | $0.00019 | $0.00282 |
| Sonnet 5 | $0.00008 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
oneil-canslim 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 11d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
O'Neil CAN SLIM
Use this skill to apply William O'Neil-style growth stock selection: find companies with accelerating earnings and sales, strong relative strength, constructive bases, institutional sponsorship, and a favorable general market.
When To Use
Use this skill when the user asks for:
- CAN SLIM analysis
- Growth stock screening
- Relative strength and earnings acceleration checks
- Cup-with-handle, flat base, or base breakout review
- A 7-8% stop-loss plan for a growth stock trade
Trigger phrases include CAN SLIM, O'Neil, relative strength, base breakout, cup with handle, IBD, earnings acceleration, and 7% stop.
Do Not Use When
- The company has weak or decelerating fundamentals.
- The market is in a confirmed downtrend.
- The stock is thinly traded or extended far above a proper buy point.
- The user wants deep value or long-term moat analysis only.
Inputs Needed
- Ticker and exchange
- Quarterly EPS and sales growth
- Annual EPS trend
- Relative strength vs. market and peers
- Base pattern, pivot price, volume, and current price
- General market trend
Process
- Check CAN SLIM fundamentals first: current and annual earnings, sales, new product/catalyst.
- Confirm leadership: relative strength, industry group strength, and price near new highs.
- Evaluate supply and demand: float, volume dry-up, accumulation, institutional sponsorship.
- Confirm market direction.
- Judge base quality and pivot validity.
- Define buy point, stop, add rules, and sell rules.
Output Format
# CAN SLIM View: [Stock]
## Verdict
Buy Point / Watchlist / Extended / Pass / Market Stand Down
## CAN SLIM Checklist
| Letter | Status | Evidence |
|--------|--------|----------|
## Base And Pivot
## Buy / Stop Plan
## Sell Rules
## Missing Data
Guardrails
- Do not buy cheap-looking laggards.
- Do not buy extended breakouts.
- Do not ignore the general market trend.
- Cut losses quickly, usually around 7-8% from the proper buy point.
- Do not average down.
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.
- 11d ago First seen · 80 lines · 38 tokens per session scan A 53311fcca9c1
oneil-canslim is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 19d ago), licensed MIT. It adds 38 tokens to every session and 564 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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