Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/openma-ai/open-managed-agents/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.svg" alt="Measured on agentmods" 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 | $0.06178 | $0.06178 |
| Opus 5 | $0.03089 | $0.03089 |
| Sonnet 5 | $0.01236 | $0.01236 |
| Haiku 4.5 | $0.00618 | $0.00618 |
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 4d 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 — 770 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.
- 4d 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 (255 stars, last pushed yesterday), licensed Apache-2.0. It adds 6,178 tokens to every session, about $0.0309 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 2026-08-30.
Other instructions, from other repositories
openhermit AGENTS.md
AGENTS.md instructions for HCF-STUDIOS/openhermit, covering openhermit workspace rules, general, code changes, testing and commits.
instar CLAUDE.md
Claude Code instructions for JKHeadley/instar, covering claude.md — instar, what this project is, quick reference, architecture and development workflow.
ccflare AGENTS.md
AGENTS.md instructions for snipeship/ccflare, covering agents.md, engineering standard, what this repo is, reading order and current workspace layout.
awesome-agent-infrastructure CLAUDE.md
Instructions for backblaze-labs/awesome-agent-infrastructure, covering claude.md — awesome-agent-infrastructure, what this list is, scope and files, schema, workflow, rules.
ccflare CLAUDE.md
Claude Code instructions for snipeship/ccflare, a project described as: The ultimate CC proxy.
claude-code-hub CLAUDE.md
Claude Code instructions for ding113/claude-code-hub, covering claude.md, repository info, critical rules, build & development commands and development.