red-team-agent-orchestration: Instructions file for Claude Code

AGENTS.md

red-team-agent-orchestration AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from Contoso-State/red-team-agent-orchestration. It costs 3,140 tokens per session, scanned A, original, MIT.

Repository instructions for an Azure cloud security platform where AI agents coordinate penetration tests across infrastructure and services.

In plain words
What is it for?
Use them when navigating, modifying, or reviewing the red-team orchestration graph and its specialist agents.
Why use it?
They give coding agents the repository’s purpose, architecture, key files, and operating rules so changes and reviews fit the project.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: PreToolUse hook event, but also the file is AGENTS.md. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is Contoso-State/red-team-agent-orchestration's own configuration. It tells Claude Code, Codex and OpenCode how to work on red-team-agent-orchestration itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything red-team-agent-orchestration configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Contoso-State/red-team-agent-orchestration. 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/Contoso-State/red-team-agent-orchestration/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Contoso-State/red-team-agent-orchestration

Made for: Claude Code, Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 3,140 This file is loaded in full into every session.
When invoked 3,140 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.03140 $0.03140
Opus 5.5 $0.01256 $0.01256
Sonnet 5.5 $0.00628 $0.00628
Haiku 4.5 $0.00314 $0.00314

Measured 1mo ago against content hash 739f2b39ccc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

red-team-agent-orchestration 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 1mo 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

| `tools/az/run-az.mjs` | Canonical shell-free, guard-gated `az` runner. **Never `spawnSync('az', …)` from Node** — on Windows `az` is a `.cmd` wrapper that fails ENOENT/EINVAL, which silently turns unrun checks into "0
AGENTS.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Azure Red Team Agent Orchestration

Repository Purpose

This repository contains an agentic red team platform for Azure cloud infrastructure security assessment. AI agents coordinate to perform comprehensive penetration testing against Azure environments, identifying vulnerabilities across identity, RBAC, networking, compute/Kubernetes, data/SQL, web & static sites, AI/Foundry, external attack surface (EASM), governance & posture, DevOps & supply chain, email (M365), and monitoring domains.

Architecture

The system's primary orchestration standard is an explicit declarative graph, wired into the native Copilot CLI layers:

  • Canonical graph (graph/redteam.graph.json) — the single source of truth for scope validation, methodology memory, preflight inventory, parallel specialist fan-out, deterministic reduce, bounded evaluator-optimizer reflection, false-positive judging, human-in-the-loop active-lane interrupts, correlation, reporting, and Reflexion debrief.
  • Custom agents (.github/agents/*.agent.md) — the dispatchable team. The user-invocable redteam-orchestrator (Pentest Manager) hands tasks to domain sub-agents through the agent (Task) tool. Sub-agents set disable-model-invocation: true so they only run when the Orchestrator dispatches them.
  • Skills (.github/skills/azure-redteam-*) — auto-loaded domain knowledge each agent draws on.
  • Extension/hooks (.github/extensions/redteam-guardrails) — a session-wide preToolUse hook that enforces read-only as an allowlist (deny-by-default) across az/azd and Azure PowerShell, for every agent.

Graph engineering & self-improvement

The dependency-free Node runner (tools/graph/run-graph.mjs) provides deterministic graph execution with simulated dispatch by default; it does not launch a live Azure assessment. The separate live entry point (tools/graph/run-live.mjs) uses the Claude native adapter for bounded live assessment, with an explicit scoped engagement and fresh preflight. Standalone live CLI adapters for Copilot, Codex, and Cursor are not implemented; those runtimes support native agent orchestration separately. The first-class LangGraph deployment target in integrations/langgraph/ compiles the same JSON spec into a StateGraph and reuses the same read-only guard through a subprocess bridge.

Read the full file on GitHub · 155 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.

  1. 1mo ago Changed · +16 lines · +253 tokens per session 739f2b39ccc8
  2. 1mo ago Changed · +3 lines · +190 tokens per session 3bee53b22564
  3. 1mo ago Changed · +10 tokens per session 53c08ab53bd8
  4. 1mo ago First seen · 136 lines · 2,687 tokens per session scan A 38eb1ab2348b

Subscribe to this mod's changes

red-team-agent-orchestration AGENTS.md is an instructions file published in the GitHub repository Contoso-State/red-team-agent-orchestration (6 stars, last pushed 1mo ago), licensed MIT. It adds 3,140 tokens to every session, about $0.0126 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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