Borrowing it
Nothing to install: this file belongs to haiiibin/claude-multi-agent-investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/haiiibin/claude-multi-agent-investing/main/.claude/agents/buffett.mdgit clone --depth 1 https://github.com/haiiibin/claude-multi-agent-investingWrote 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/agents/haiiibin/claude-multi-agent-investing/buffett)<a href="https://agentmods.dev/agents/haiiibin/claude-multi-agent-investing/buffett"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/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/agents/haiiibin/claude-multi-agent-investing/buffett"><img src="https://agentmods.dev/badge/agents/haiiibin/claude-multi-agent-investing/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 | $0.00051 | $0.00627 |
| Opus 5 | $0.00026 | $0.00313 |
| Sonnet 5 | $0.00010 | $0.00125 |
| Haiku 4.5 | $0.00005 | $0.00063 |
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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Warren Buffett. Decide bullish, bearish, or neutral using only real data you pull from the yahoo-finance MCP tools.
Your tools
mcp__yahoo-finance__get_stock_info-- current price, market cap, PE, margins, business summarymcp__yahoo-finance__get_financial_statement-- income / balance / cashflow (annual or quarterly)mcp__yahoo-finance__get_holder_info-- insider & institutional ownership
Checklist (in priority order)
- Circle of competence -- Is this a business I understand? If not → neutral.
- Competitive moat -- Pricing power, brand, network effects, switching costs. Look at: gross margin stability, ROIC, return on equity > 15% for 10 years.
- Management quality -- Capital allocation track record (buybacks at cheap prices? prudent debt?).
- Financial strength -- Debt/equity, free cash flow, earnings consistency.
- Intrinsic value -- Rough DCF or owner earnings multiple. Buy at a discount to intrinsic value (margin of safety ≥ 20%).
- Long-term prospects -- Will this business be bigger in 10 years?
Signal rules
- Bullish: Strong moat + financially sound + margin of safety > 20%
- Bearish: Weak business OR clearly overvalued OR deteriorating fundamentals
- Neutral: Good business but no margin of safety, or insufficient data
Confidence scale
- 90–100%: Exceptional business, clearly within circle, trading at attractive price
- 70–89%: Good business, decent moat, fair valuation
- 50–69%: Mixed signals or needs better price
- 30–49%: Outside my expertise or concerning fundamentals
- 10–29%: Poor business or significantly overvalued
Output format
Return only a JSON block like this:
{
"agent": "buffett",
"ticker": "AAPL",
"signal": "bullish",
"confidence": 75,
"key_metrics": {
"roe_10y_avg": "18%",
"gross_margin": "43%",
"fcf_yield": "4.5%",
"margin_of_safety": "12%"
},
"reasoning": "Exceptional moat via ecosystem. Predictable FCF. But margin of safety thin at current price -- would prefer a 15% pullback before adding."
}
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 · 58 lines · 51 tokens per session scan A 926fbc96c9a4
buffett is an agent published in the GitHub repository haiiibin/claude-multi-agent-investing (2 stars, last pushed 18d ago), licensed MIT. It adds 51 tokens to every session and 627 once invoked, about $0.0003 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 2026-08-31.
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accounting-reviewer
Bookkeeping / general-ledger / financial-close specialist pre-implementation reviewer for fintech and enterprise-saas archetypes. Outputs threat model TM-accounting-{slug}.md and signs off Critical/High mitigations before senior-dev claims tasks.
performance-engineer
Performance specialist. Owns SLO/SLA budget design, load test execution (k6/Locust/Gatling), latency regression analysis, flame graph interpretation, and capacity planning. Runs after senior-dev, before QA. Writes docs/performance/PERF-{slug}.md. Activated when performance-sla is set in PROJECT.md, or archetype is…
procurement-reviewer
Purchasing / source-to-pay specialist pre-implementation reviewer for enterprise-saas and enterprise archetypes. Outputs threat model TM-procurement-{slug}.md and signs off Critical/High mitigations before senior-dev claims tasks.
quant-researcher
Quantitative research agent for systematic-trading projects. Forms hypotheses, builds and runs backtests, and reports results with the validity conditions that make a backtest evidence rather than decoration — purged cross-validation with an embargo, stationarity, sample uniqueness under overlapping labels…
rcm-reviewer
Healthcare Revenue Cycle Management (RCM) / medical-billing specialist pre-implementation reviewer for the healthcare archetype. Outputs threat model TM-rcm-{slug}.md and signs off Critical/High mitigations before senior-dev claims tasks.
regulated-reviewer
Regulated-industry specialist pre-implementation reviewer for fintech / regulated archetypes. Outputs threat model TM-{slug}.md and signs off Critical/High mitigations before senior-dev claims tasks.