Borrowing it
Nothing to install: this file belongs to jenniferjiang0511/MIT-AI-studio-HW3. 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/jenniferjiang0511/MIT-AI-studio-HW3/main/AGENTS.mdgit clone --depth 1 https://github.com/jenniferjiang0511/MIT-AI-studio-HW3Wrote 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/jenniferjiang0511/mit-ai-studio-hw3/agents-md)<a href="https://agentmods.dev/instructions/jenniferjiang0511/mit-ai-studio-hw3/agents-md"><img src="https://agentmods.dev/badge/instructions/jenniferjiang0511/mit-ai-studio-hw3/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/jenniferjiang0511/mit-ai-studio-hw3/agents-md"><img src="https://agentmods.dev/badge/instructions/jenniferjiang0511/mit-ai-studio-hw3/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 | $0.04099 | $0.04099 |
| Opus 5 | $0.02049 | $0.02049 |
| Sonnet 5 | $0.00820 | $0.00820 |
| Haiku 4.5 | $0.00410 | $0.00410 |
Grade A, and why
MIT-AI-studio-HW3 AGENTS.md scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "http://127.0.0.1:8081/mcp?pirate_mode=true" \ How it starts
The opening of the file, as written. The whole thing — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Welcome to the Smithery Python MCP Server Scaffold!
This is the template project that gets cloned when you run uvx smithery init. It provides everything you need to build, test, and deploy a Model Context Protocol (MCP) server with Smithery.
What's Included
- FastMCP Server with Smithery session-scoped configuration support
- Example Tool (
hellotool with pirate mode configuration) - Example Resource (
history://hello-worldwith Hello World origin story) - Example Prompt (
greetprompt for generating greeting messages) - Development Workflow (
uv run devfor local testing,uv run playgroundfor interactive testing) - Deployment Ready configuration for the Smithery platform
- Session Management via
@smithery.server()decorator with optional config schemas
Quick Start Commands
# Run development server (streamable HTTP on port 8081)
uv run dev
# Run production server (optimized for deployment)
uv run start
# Test with interactive playground
uv run playground
Development Workflow
Based on the Model Context Protocol architecture, MCP servers provide three core primitives:
1. Tools (for actions)
Add executable functions that AI applications can invoke to perform actions:
@server.tool()
def hello(name: str, ctx: Context) -> str:
"""Say hello to someone."""
session_config = ctx.session_config
if session_config.pirate_mode:
return f"Ahoy, {name}!"
else:
return f"Hello, {name}!"
2. Resources (for static data)
Add data sources that provide contextual information:
@server.resource("history://hello-world")
def hello_world() -> str:
"""The origin story of the famous 'Hello, World' program."""
return (
'"Hello, World" first appeared in a 1972 Bell Labs memo by '
"Brian Kernighan and later became the iconic first program "
"for beginners in countless languages."
)
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.
- 11d ago First seen · 464 lines · 4,099 tokens per session scan A 80e668d2faab
MIT-AI-studio-HW3 AGENTS.md is an instructions file published in the GitHub repository jenniferjiang0511/MIT-AI-studio-HW3 (0 stars, last pushed 11mo ago), licensed MIT. It adds 4,099 tokens to every session, about $0.0205 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.
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.
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).