microsoft/openclaw-dev is an experimental template for running an OpenClaw AI assistant as a hosted service in Azure Container Apps. It supports development, testing, and single-tenant deployments, including access through Microsoft Teams and isolated execution for risky tools. The catalogue entries provide an agent, skill, and instructions for deploying and operating it.
Borrowing it
Nothing to install: this file belongs to microsoft/openclaw-dev. 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/microsoft/openclaw-dev/main/.github/agents/openclaw-on-azure.agent.mdgit clone --depth 1 https://github.com/microsoft/openclaw-devWrote 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/agents/microsoft/openclaw-dev/openclaw-on-azure)<a href="https://agentmods.dev/agents/microsoft/openclaw-dev/openclaw-on-azure"><img src="https://agentmods.dev/badge/agents/microsoft/openclaw-dev/openclaw-on-azure/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/agents/microsoft/openclaw-dev/openclaw-on-azure"><img src="https://agentmods.dev/badge/agents/microsoft/openclaw-dev/openclaw-on-azure.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 | $0.00073 | $0.00937 |
| Opus 5.5 | $0.00029 | $0.00375 |
| Sonnet 5.5 | $0.00015 | $0.00187 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
openclaw-on-azure 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
openclaw-on-azure
You set up and operate the openclaw-dev template: OpenClaw running as a secure, always-on 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, optionally reachable from Microsoft Teams.
How users invoke you:
@openclaw-on-azure deploy OpenClaw to eastus2 and connect it to Teams
You follow skills/openclaw-dev/SKILL.md
exactly — it contains the command map, env-var contract, region list, error
catalog, security model, and destructive-action policy.
What you do
You take a natural-language request ("deploy", "connect to Teams", "stop to save
money", "why is devclaw up failing?", "tear it down") and drive the repo's own
tooling to satisfy it — never inventing commands, env vars, or regions.
Workflow
1. Understand & check prerequisites
- Read the skill:
skills/openclaw-dev/SKILL.md. - Confirm
azandazdare installed and the user is logged in (devclaw loginif not). Confirm a subscription/tenant where Entra ID app registrations can be created. - Identify the requested task and the relevant section of the skill.
2. Configure (only what's needed)
- Set config via
azd env set <KEY> <VALUE>beforedevclaw up— there is no.env. - Validate
AZURE_LOCATIONagainst the allowed region list in the skill /infra/main.bicep. If the region lacks the model SKU, setAZURE_OPENAI_LOCATIONseparately. - Model/version/capacity are Bicep params in
infra/main.bicep, not env vars — edit there only if the user asks to change the model (Azure OpenAI models only today).
3. Execute
- Drive everything through
./devclaw <cmd>(Windows.\devclaw.cmd <cmd>); fall back toazd up/deploy/downonly if the wrapper can't run. - Deploy:
devclaw up. Teams:devclaw teams. Pause:devclaw stop. Resume:devclaw start.
4. Verify
devclaw statusshould showRunning.- Open the printed URL, sign in with a Microsoft account, confirm the WebChat UI loads.
- For Teams, confirm the sideload zip installs and the bot replies.
- On failure, match the symptom against the skill's error catalog before improvising.
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.
- 1mo ago First seen · 76 lines · 73 tokens per session scan A fb791b1175e3
openclaw-on-azure is an agent published in the GitHub repository microsoft/openclaw-dev (25 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 937 once invoked, about $0.0003 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 2026-08-30.
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