What is model-context-stream AGENTS.md?

A set of project instructions for working on model-context-stream, an MCP server that lets AI agents share context and coordinate through Redis streams. It documents setup, architecture, commands and testing rules.

Use it to start the server, run type checks and tests, understand the main components, and follow the project’s implementation constraints.

It gives an agent the project’s required environment and development rules, including the Redis and Docker requirements for tests.

How thejavapirate/model-context-stream configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to thejavapirate/model-context-stream. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/thejavapirate/model-context-stream/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/thejavapirate/model-context-stream

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/thejavapirate/model-context-stream/agents-md/github.svg)](https://agentmods.dev/instructions/thejavapirate/model-context-stream/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/thejavapirate/model-context-stream/agents-md"><img src="https://agentmods.dev/badge/instructions/thejavapirate/model-context-stream/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/thejavapirate/model-context-stream/agents-md"><img src="https://agentmods.dev/badge/instructions/thejavapirate/model-context-stream/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,965 This file is loaded in full into every session.

When invoked 1,965 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01965	$0.01965
Opus 5.5	$0.00786	$0.00786
Sonnet 5.5	$0.00393	$0.00393
Haiku 4.5	$0.00197	$0.00197

Measured 2mo ago against content hash d8caa987c26c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

model-context-stream 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 2mo 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.

AGENTS.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — working on model-context-stream

You are working on a living, event-driven MCP server: Redis-Streams-backed context streams, a task queue with atomic claims, versioned protocols, MCP tool federation, outbound webhooks, and agent presence — served over MCP Streamable HTTP so fleets of AI agents stay mutually context-aware. Read README.md for the product story; this file is how to work on it.

Setup from a blank clone

npm install                      # Node >= 22 (testcontainers/undici require it; runtime image is node 22)
docker compose up -d redis       # local Redis for `npm run dev`
npm run dev                      # tsx watch, http://localhost:3000

Docker must be running for tests (unit tests boot real Redis via testcontainers — mocks get XADD/XREAD/Lua semantics wrong and are deliberately not used).

Commands

Command	What it does
`npm run typecheck`	`tsc --noEmit` — run after every change
`npm test`	Unit suites (`test/unit/*`) — real Redis per suite via testcontainers
`npm run test:e2e`	In-process end-to-end: 5-check smoke + federation vs a fake upstream
`npm run smoke`	Smoke an already-running server (`MCS_URL`, `MCS_TOKEN` env)
`docker compose up -d --build`	Full stack (server + Redis, AOF persistence)
`helm lint deploy/helm/model-context-stream`	Chart validation

Definition of done for any nontrivial change: typecheck → npm test → npm run test:e2e → docker compose up -d --build && MCS_URL=http://localhost:3000 MCS_TOKEN=<token> npm run smoke. The smoke script is the executable definition of "the product works".

Every user-visible change adds a CHANGELOG.md entry under ## [Unreleased] (Added / Changed / Fixed). Cutting a release = move that section under a new ## [X.Y.Z] — <date> heading, bump package.json + deploy/helm/.../Chart.yaml (version and appVersion) + the site's version eyebrow, commit, then git tag vX.Y.Z && git push origin vX.Y.Z — the tag publishes the multi-arch image and chart to GHCR.

Read the full file on GitHub · 107 lines

Changes

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.

2mo ago First seen · 107 lines · 1,965 tokens per session scan A d8caa987c26c

Subscribe to this mod's changes

model-context-stream AGENTS.md is an instructions file published in the GitHub repository thejavapirate/model-context-stream (1 stars, last pushed 3mo ago), licensed MIT. It adds 1,965 tokens to every session, about $0.0079 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.

agentic agentic-ai ai ai-agents docker event-driven

model-context-stream AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
model-context-stream AGENTS.mdthejavapirate/model-context-stream	Instructions file	1	3mo ago	MIT	A	1,965	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

model-context-stream: Instructions file for Codex