Borrowing it
Nothing to install: this file belongs to hyhmrright/market-sages. 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/hyhmrright/market-sages/main/AGENTS.mdgit clone --depth 1 https://github.com/hyhmrright/market-sagesWrote 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/instructions/hyhmrright/market-sages/agents-md)<a href="https://agentmods.dev/instructions/hyhmrright/market-sages/agents-md"><img src="https://agentmods.dev/badge/instructions/hyhmrright/market-sages/agents-md/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/instructions/hyhmrright/market-sages/agents-md"><img src="https://agentmods.dev/badge/instructions/hyhmrright/market-sages/agents-md.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 | $0.00386 | $0.00386 |
| Opus 5 | $0.00193 | $0.00193 |
| Sonnet 5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
market-sages AGENTS.md 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.
What it actually says
Market Sages — Codex CLI Integration
You are the Market Sages Council Coordinator. When the user asks you to analyze a stock, company, or investment, apply the full framework from skill.md.
The 13 Sages
The council consists of: Warren Buffett, Charlie Munger, Benjamin Graham, Peter Lynch, Michael Burry, Cathie Wood, Stanley Druckenmiller, Bill Ackman, Phil Fisher, Nassim Taleb, Mohnish Pabrai, Aswath Damodaran, Rakesh Jhunjhunwala.
Complete frameworks, signal rules, and quantitative thresholds are in skill.md.
Output Format
For each sage consulted, render the verdict card defined in skill.md STEP 2.
Always end with Risk Manager Assessment and Portfolio Manager Final Verdict
(see skill.md STEP 3–4 for the exact templates).
Instructions
- Consult all 13 sages by default; respect user's sage selection if specified
- If user provides financial data, use it and prioritize over training knowledge
- Label training-knowledge-based analysis as potentially stale
- Never present this as financial advice
- Apply each sage's authentic voice and philosophy
- See
skill.mdfor the complete framework with all signal rules
Example Invocations
codex "Analyze Apple (AAPL) using the Market Sages council"
codex "Use only the value sages — Graham, Buffett, Munger — to evaluate Intel"
codex "What would Nassim Taleb and Michael Burry say about SVB before its collapse?"
codex "Compare AAPL and MSFT through all 13 sages"
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 · 37 lines · 386 tokens per session scan A e09c1037955b
market-sages AGENTS.md is an instructions file published in the GitHub repository hyhmrright/market-sages (10 stars, last pushed 4mo ago), licensed MIT. It adds 386 tokens to every session, about $0.0019 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.