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 buffettgit 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/buffett)<a href="https://agentmods.dev/skills/questflowai/investorskills/buffett"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/buffett/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/buffett"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/buffett.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 | $0.00032 | $0.00522 |
| Opus 5 | $0.00016 | $0.00261 |
| Sonnet 5 | $0.00006 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
buffett 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 10d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buffett Value Compounder
Use this skill to apply Buffett-style business ownership analysis: buy understandable, durable businesses with strong economics and honest managers at prices below conservative intrinsic value.
When To Use
Use this skill when the user asks for:
- Long-term business-quality underwriting
- Moat and owner earnings analysis
- Intrinsic value and margin-of-safety review
- Whether a stock is a durable compounder
- A holding review for a long-term equity position
Trigger phrases include Buffett, owner earnings, moat, margin of safety, intrinsic value, quality business, and compounder.
Do Not Use When
- The user wants short-term breakout timing.
- The business is outside the circle of competence.
- Primary filings or enough operating history are missing.
- The thesis depends mostly on macro timing, technicals, or leverage.
Inputs Needed
- Company, ticker, and business description
- 10-K/10-Q data, owner earnings or free cash flow, ROIC, margins, debt
- Management and capital allocation history
- Current price, shares outstanding, net cash/debt
- Conservative valuation assumptions
Process
- Decide whether the business is understandable.
- Evaluate moat, durability, returns on capital, pricing power, and reinvestment runway.
- Review management integrity and capital allocation.
- Estimate conservative intrinsic value as a range.
- Demand a margin of safety before a buy verdict.
- Define thesis invalidation and monitoring metrics.
Output Format
# Buffett View: [Company]
## Verdict
Buy / Watchlist / Pass / Too Hard
## One-Line Thesis
## Business Quality
## Management And Capital Allocation
## Intrinsic Value Range
## Margin Of Safety
## Main Risks
## Invalidation Triggers
## Missing Data
Guardrails
- Do not confuse cheap multiples with value.
- Do not use optimistic assumptions to force a buy.
- Do not ignore leverage, dilution, or bad incentives.
- Do not sell only because price declined if the thesis is intact.
- Say
Too Hardwhen the business cannot be understood.
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.
- 10d ago First seen · 83 lines · 32 tokens per session scan A 10016432c521
buffett is a skill published in the GitHub repository questflowai/investorskills (1,845 stars, last pushed 17d ago), licensed MIT. It adds 32 tokens to every session and 522 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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