Borrowing it
Nothing to install: this file belongs to managedcode/MCPGateway. 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/managedcode/MCPGateway/main/AGENTS.mdgit clone --depth 1 https://github.com/managedcode/MCPGatewayWrote 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/managedcode/mcpgateway/agents-md)<a href="https://agentmods.dev/instructions/managedcode/mcpgateway/agents-md"><img src="https://agentmods.dev/badge/instructions/managedcode/mcpgateway/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/managedcode/mcpgateway/agents-md"><img src="https://agentmods.dev/badge/instructions/managedcode/mcpgateway/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 | $0.09149 | $0.09149 |
| Opus 5.5 | $0.03660 | $0.03660 |
| Sonnet 5.5 | $0.01830 | $0.01830 |
| Haiku 4.5 | $0.00915 | $0.00915 |
Grade A, and why
MCPGateway 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 yesterday.
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 — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project: ManagedCode.MCPGateway Stack: .NET 10, C# 14, Microsoft.Extensions.AI, ModelContextProtocol, TUnit, GitHub Actions, NuGet
Follows MCAF
Purpose
This file defines how AI agents work in this solution.
- Root
AGENTS.mdholds the global workflow, shared commands, cross-cutting rules, and global skill routing. - The solution keeps project-local
AGENTS.mdfiles for the package and test projects so work can stay scoped. - Local
AGENTS.mdfiles refine entry points, boundaries, commands, and risks for their subtree without weakening root policy.
Solution Topology
- Solution root:
. - Projects or modules with local
AGENTS.mdfiles:src/ManagedCode.MCPGateway/benchmarks/ManagedCode.MCPGateway.Benchmarks/tests/ManagedCode.MCPGateway.Tests/
Conversations (Self-Learning)
Learn the user's habits, preferences, and working style. Extract rules from conversations, save to "## Rules to follow", and generate code according to the user's personal rules.
Update requirement (core mechanism):
Before doing ANY task, evaluate the latest user message.
If you detect a new rule, correction, preference, or change -> update AGENTS.md first.
Only after updating the file you may produce the task output.
If no new rule is detected -> do not update the file.
When to extract rules:
- prohibition words (never, don't, stop, avoid) or similar -> add NEVER rule
- requirement words (always, must, make sure, should) or similar -> add ALWAYS rule
- memory words (remember, keep in mind, note that) or similar -> add rule
- process words (the process is, the workflow is, we do it like) or similar -> add to workflow
- future words (from now on, going forward) or similar -> add permanent rule
Preferences -> add to Preferences section:
- positive (I like, I prefer, this is better) or similar -> Likes
- negative (I don't like, I hate, this is bad) or similar -> Dislikes
- comparison (prefer X over Y, use X instead of Y) or similar -> preference rule
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.
- yesterday Changed · +6 lines · +273 tokens per session b5c8a1916be4
- 13d ago Changed · +2 lines · +72 tokens per session cb023dff7bde
- 14d ago Changed · +13 lines · +315 tokens per session f8792b3b17de
- 1mo ago First seen · 386 lines · 8,489 tokens per session scan A 6a7b8160b39c
MCPGateway AGENTS.md is an instructions file published in the GitHub repository managedcode/MCPGateway (5 stars, last pushed yesterday), licensed MIT. It adds 9,149 tokens to every session, about $0.0366 per session on Opus 5.5. 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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