openclaw-dev AGENTS.md

A set of instructions for coding agents working on the OpenClaw project. OpenClaw is a hosted AI assistant running on Microsoft Azure, a cloud platform, with access protected by Microsoft Entra ID.

In plain words
What is it for?
Use it when deploying, configuring, operating, connecting Teams, troubleshooting, or removing the OpenClaw Azure setup.
Why use it?
It gives agents the project’s required commands, settings, deployment process, and safety rules, reducing the risk of using the wrong workflow or configuration.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/microsoft/openclaw-dev/agents-md
Clone the repo
git clone --depth 1 https://github.com/microsoft/openclaw-dev

Made for: Codex, OpenCode.

Per session 774 This file is loaded in full into every session.
When invoked 774 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00774 $0.00774
Opus 5 $0.00387 $0.00387
Sonnet 5 $0.00155 $0.00155
Haiku 4.5 $0.00077 $0.00077

Measured yesterday against content hash 6556b6c852dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

openclaw-dev 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.

AGENTS.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — openclaw-dev

Guidance for AI coding agents (Claude Code, OpenAI Codex, Cursor, Gemini CLI, Amp, and others) working in this repository.

This repo deploys OpenClaw as a secure, hosted AI assistant on Azure Container Apps, wired to Azure OpenAI in Foundry Models over a Managed Identity (no API keys), gated by Entra ID Easy Auth, with an optional Microsoft Teams channel. Alpha, single-tenant, dev/test.

Start here

For any deploy / configure / operate / Teams / troubleshoot / teardown request, follow the full playbook in skills/openclaw-dev/SKILL.md. It contains the command map, env-var contract, region list, and error catalog.

Non-negotiable rules

  • Single entrypoint: use ./devclaw <cmd> (Windows .\devclaw.cmd <cmd>), a thin wrapper over the Azure Developer CLI (azd). Fall back to azd directly only if the wrapper can't run.
  • Configure with azd env set <KEY> <VALUE> before devclaw up. There is no .env file. Model/version/capacity live in infra/main.bicep, not env vars.
  • Teams is opt-in. Default deploy is browser-only (no bot, no Teams). To enable the Teams add-on: azd env set ENABLE_TEAMS true then re-run devclaw up (or just run devclaw teams, which prompts and re-provisions). Don't create bot app registrations by default.
  • Restricted subscriptions/tenants: before devclaw up, set whichever of these apply: SERVICE_MANAGEMENT_REFERENCE=<smr-guid> (tenants that require it on new app regs), SKIP_STORAGE=true (subscriptions whose Azure Policy blocks shared-key storage — ACA file mounts need shared keys today; gateway token + sessions won't persist across replica restarts). ACR admin is already disabled; image pulls use the container app's managed identity.
  • Region AZURE_LOCATION must be in the allowed list in infra/main.bicep; set AZURE_OPENAI_LOCATION separately if that region lacks the model SKU.
  • Azure OpenAI only today (default gpt-5.4-mini). Don't claim Claude / other Foundry Models work yet — they're future scope.
  • Passwordless: model calls use Managed Identity (disableLocalAuth: true). Never add or suggest API keys.
  • Never commit secrets. _local/, .azure/, .azure-cli/, .azd-config/, the generated teams/package/manifest.json, and teams/openclaw-teams-app.zip are gitignored.
  • Confirm before destructive actions (devclaw down/azd down, az ad app delete, RBAC removal, deleting state): state what will be deleted and get explicit confirmation. Never use --force/--no-prompt to skip it.
  • To pause cheaply use devclaw stop (scale to 0, $0, state kept), not down.

Read the full file on GitHub · 53 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. yesterday First seen · 53 lines · 774 tokens per session scan A 6556b6c852dc

Subscribe to this mod's changes

openclaw-dev AGENTS.md is an instructions file published in the GitHub repository microsoft/openclaw-dev (25 stars, last pushed 2mo ago), licensed MIT. It adds 774 tokens to every session, about $0.0039 per session on Opus 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 2026-08-30.

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