Borrowing it
Nothing to install: this file belongs to sAjAd-2006/bizinsight-agent. 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/sAjAd-2006/bizinsight-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/sAjAd-2006/bizinsight-agentWrote 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/sajad-2006/bizinsight-agent/agents-md)<a href="https://agentmods.dev/instructions/sajad-2006/bizinsight-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/sajad-2006/bizinsight-agent/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/sajad-2006/bizinsight-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/sajad-2006/bizinsight-agent/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 | $0.00709 | $0.00709 |
| Opus 5 | $0.00354 | $0.00354 |
| Sonnet 5 | $0.00142 | $0.00142 |
| Haiku 4.5 | $0.00071 | $0.00071 |
Grade A, and why
bizinsight-agent 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 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — BizInsight Agent Project Context
Project Overview
BizInsight Agent is a multi-agent business intelligence system built with CrewAI. It analyzes business data (CSV files), generates insights, and produces structured reports.
Stack
- Agent Framework: CrewAI (multi-agent orchestration)
- MCP Servers: Custom data-access and chart-generation servers (stdio transport)
- LLM: Google Gemini (configurable via GOOGLE_API_KEY in .env)
- Data: pandas, numpy
- Visualization: matplotlib, seaborn
- Language: Python 3.10+
Project Conventions
- Always begin by thinking deeply before coding — explicitly state assumptions, surface tradeoffs, and halt to ask for clarification the moment you encounter ambiguity rather than guessing silently.
- Write only the absolute minimum amount of code required to solve the immediate problem, strictly avoiding speculative features, unrequested abstractions, or predictive configurations.
- When editing existing code, make highly surgical changes by restricting your updates only to the exact lines necessary to fulfill the request, maintaining the existing style perfectly, and leaving adjacent, unbroken code completely untouched unless your changes directly orphaned an import or variable.
- Approach every task through goal-driven execution by breaking it down into a clear, step-by-step plan with strong success criteria.
- All MCP tools must validate inputs before execution.
- All file I/O is scoped to the
data/andoutput/directories. Never read or write outside these paths. - Never hardcode API keys. Use environment variables only.
- Use
[[VARIABLE]]placeholder syntax in all agent-facing templates. Never hardcode PII.
Spec-Driven Development (Day 5)
- BDD specifications live in
specs/using Gherkin format (Given / When / Then) - Specs are the source of truth — if code diverges from specs, the code is wrong
- Use the spec to drive test creation and agent behavior verification
Zero-Trust Governance (Day 5)
- All tool calls pass through the Policy Server (
policy_server.py) - Policies are defined in
policies.yaml— structural gating via role/environment - Context hygiene is enforced via
context_resolver.py— PII masking + placeholder resolution - No tool has ambient authority; every action is checked before execution
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 · 55 lines · 709 tokens per session scan A 27cd7c22afed
bizinsight-agent AGENTS.md is an instructions file published in the GitHub repository sAjAd-2006/bizinsight-agent (2 stars, last pushed 2mo ago), licensed MIT. It adds 709 tokens to every session, about $0.0035 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).
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.
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.