Borrowing it
Nothing to install: this file belongs to openma-ai/open-managed-agents. 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/openma-ai/open-managed-agents/main/AGENTS.mdgit clone --depth 1 https://github.com/openma-ai/open-managed-agentsWrote 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/openma-ai/open-managed-agents/agents-md)<a href="https://agentmods.dev/instructions/openma-ai/open-managed-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/openma-ai/open-managed-agents/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/openma-ai/open-managed-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/openma-ai/open-managed-agents/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 | $0.06343 | $0.06343 |
| Opus 5.5 | $0.02537 | $0.02537 |
| Sonnet 5.5 | $0.01269 | $0.01269 |
| Haiku 4.5 | $0.00634 | $0.00634 |
Grade A, and why
open-managed-agents 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 22d 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.
| **web_fetch** | URL → markdown | Fetches a URL, converts HTML/PDF/DOCX/etc. to markdown via Workers AI `env.AI.toMarkdown()`. When `agent.aux_model` is set, large pages (>5KB) are summarized by the aux model and the fu How it starts
The opening of the file, as written. The whole thing — 780 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Guide
This document covers the core concepts, lifecycle, and configuration of agents in Open Managed Agents.
Core Concepts
Open Managed Agents is built around a meta-harness architecture with four key abstractions:
Agent
An agent is a configuration object that defines what an AI assistant can do. It specifies the model, system prompt, available tools, skills, and optional connections to other agents or MCP servers.
Agents are versioned — every update creates a new version. Sessions bind to a specific agent version at creation time.
Session
A session is a running conversation between a user and an agent. It owns an append-only event log stored in a Durable Object backed by SQLite. Sessions are the unit of state — agents themselves are stateless configurations.
Sessions can be streamed in real-time via SSE, resumed after crashes, and archived when complete.
Environment
An environment defines the execution sandbox — what packages are installed, what networking is allowed, and what container image to use. Environments are reusable across sessions and agents.
Vault
A vault is a secure credential store. Credentials in vaults are never exposed to sandboxes — they're injected via an outbound proxy that intercepts HTTP requests and adds authentication headers transparently.
Agent Lifecycle
┌──────────┐
│ Create │ POST /v1/agents
└────┬─────┘
│
┌────▼─────┐
┌────►│ Active │◄────┐
│ └────┬─────┘ │
│ │ │
┌────┴───┐ ┌───▼────┐ ┌───┴─────┐
│ Update │ │ Archive│ │ Sessions│
│ (new │ │ │ │ use it │
│ version)│ └───┬────┘ └─────────┘
└─────────┘ │
┌────▼─────┐
│ Archived │
└──────────┘
- Create —
POST /v1/agentswith name, model, system prompt, and tools - Use — Create sessions referencing the agent by ID
- Update —
PUT /v1/agents/:idcreates a new version; existing sessions keep their original version - Archive —
POST /v1/agents/:id/archivesoft-deletes the agent
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.
- 22d ago Changed · +10 lines · +165 tokens per session 600ccf169693
- 1mo ago First seen · 770 lines · 6,178 tokens per session scan A 1aa596e50755
open-managed-agents AGENTS.md is an instructions file published in the GitHub repository openma-ai/open-managed-agents (337 stars, last pushed today), licensed Apache-2.0. It adds 6,343 tokens to every session, about $0.0254 per session on Opus 5.5. 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.