Borrowing it
Nothing to install: this file belongs to Azure-Samples/Agentic-AI-Investment-Analysis-Sample. 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/Azure-Samples/Agentic-AI-Investment-Analysis-Sample/main/AGENTS.mdgit clone --depth 1 https://github.com/Azure-Samples/Agentic-AI-Investment-Analysis-SampleWrote 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/azure-samples/agentic-ai-investment-analysis-sample/agents-md)<a href="https://agentmods.dev/instructions/azure-samples/agentic-ai-investment-analysis-sample/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/agentic-ai-investment-analysis-sample/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/azure-samples/agentic-ai-investment-analysis-sample/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/agentic-ai-investment-analysis-sample/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 | $0.03825 | $0.03825 |
| Opus 5 | $0.01912 | $0.01912 |
| Sonnet 5 | $0.00765 | $0.00765 |
| Haiku 4.5 | $0.00382 | $0.00382 |
Grade A, and why
Agentic-AI-Investment-Analysis-Sample 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.
How it starts
The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents.md - Agentic AI Investment Analysis System
📚 Technical Stack
Backend Technologies
| Technology | Purpose | Version |
|---|---|---|
| Python | Core backend language | 3.11+ |
| FastAPI | Modern async web framework | 0.116.1 |
| Microsoft Agent Framework | Multi-agent workflow orchestration | Latest |
| Uvicorn | ASGI server | 0.35.0 |
| Pydantic | Data validation and settings management | 2.11.7 |
| Azure SDK | Azure service integrations | Latest |
Frontend Technologies
| Technology | Purpose | Version |
|---|---|---|
| React | UI framework | 18.x |
| TypeScript | Type-safe JavaScript | 5.x |
| Vite | Build tool and dev server | Latest |
| Shadcn/UI | Component library | Latest |
| Tailwind CSS | Utility-first CSS framework | Latest |
| Lucide React | Icon library | 0.462.0 |
| TanStack Query | Data fetching and caching | 5.56.2 |
Azure Cloud Services
| Service | Purpose |
|---|---|
| Azure OpenAI | LLM provider for AI agents |
| Azure Cosmos DB | NoSQL database for documents, opportunities, and analyses |
| Azure Blob Storage | Document and file storage |
| Azure Container Apps | Containerized application hosting |
| Azure Container Registry | Docker image storage |
| Azure Application Insights | Application monitoring and telemetry |
| Azure Log Analytics | Centralized logging |
| Azure App Configuration | Configuration management |
Infrastructure as Code
| Technology | Purpose |
|---|---|
| Bicep | Azure infrastructure definition |
| Bash Scripts | Deployment automation |
| Docker | Application containerization |
📁 Repository Structure
Root Directory
Agentic-AI-Investment-Analysis-Sample/
├── CODE_OF_CONDUCT.md # Community guidelines
├── LICENSE # Project license
├── README.md # Project overview and setup instructions
├── SUPPORT.md # Support and contribution guidelines
├── _assets/ # Documentation and sample assets
├── api-app/ # Backend API application
├── infra/ # Infrastructure deployment scripts
└── web-app/ # Frontend web application
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 · 482 lines · 3,825 tokens per session scan A 84b7f7edc833
Agentic-AI-Investment-Analysis-Sample AGENTS.md is an instructions file published in the GitHub repository Azure-Samples/Agentic-AI-Investment-Analysis-Sample (118 stars, last pushed 6mo ago), licensed MIT. It adds 3,825 tokens to every session, about $0.0191 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 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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.