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 agi-now/buffett-skills --skill buffettgit clone --depth 1 https://github.com/agi-now/buffett-skillsWrote 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/agi-now/buffett-skills/buffett)<a href="https://agentmods.dev/skills/agi-now/buffett-skills/buffett"><img src="https://agentmods.dev/badge/skills/agi-now/buffett-skills/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/agi-now/buffett-skills/buffett"><img src="https://agentmods.dev/badge/skills/agi-now/buffett-skills/buffett.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00164 | $0.02360 |
| Opus 5 | $0.00082 | $0.01180 |
| Sonnet 5 | $0.00033 | $0.00472 |
| Haiku 4.5 | $0.00016 | $0.00236 |
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 9d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
8 files 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.
- references/01-thinking-frameworks.md 9.4 KB
- references/02-investment-philosophy.md 21 KB
- references/03-business-moat.md 19 KB
- references/04-management-governance.md 16 KB
- references/05-financial-metrics.md 7.1 KB
- references/06-valuation-capital.md 22 KB
- references/07-risk-behavior.md 14 KB
- references/08-industry-playbooks.md 36 KB
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.
- 9d ago First seen · 199 lines · 164 tokens per session scan A fbad6a2bf83a
buffett is a skill published in the GitHub repository agi-now/buffett-skills (797 stars, last pushed 4mo ago), with no licence file. It adds 164 tokens to every session and 2,360 once invoked, about $0.0008 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.
Other skills, from other repositories
strategy-coder
Generate valid EngineStrategyConfig YAML for PnLClaw strategies.
backtest-explain
Analyzes backtest results in plain language, connecting metrics to what they mean for the strategy.
exchange-setup
Guides the user through exchange connectivity and configuration safely, without handling secrets in chat.
indicator-guide
Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations.
risk-report
Generates a risk assessment for current or hypothetical positions using engine rules and paper state.
market-analysis
Analyzes current market state and short-term trends using ticker, candle, and narrative context.