Azure Developer CLI (azd) is a command-line tool for building, deploying, and operating applications on Azure. Developers use it to move through application workflows such as coding, building, deployment, and monitoring with Azure templates and resources. Its catalogue entries help AI agents work with azd and Azure application projects.
Borrowing it
Nothing to install: this file belongs to Azure/azure-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/Azure/azure-dev/main/.github/agents/foundry-extension-scenario-orchestrator.agent.mdgit clone --depth 1 https://github.com/Azure/azure-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/azure/azure-dev/foundry-extension-scenario-orchestrator)<a href="https://agentmods.dev/agents/azure/azure-dev/foundry-extension-scenario-orchestrator"><img src="https://agentmods.dev/badge/agents/azure/azure-dev/foundry-extension-scenario-orchestrator/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/azure/azure-dev/foundry-extension-scenario-orchestrator"><img src="https://agentmods.dev/badge/agents/azure/azure-dev/foundry-extension-scenario-orchestrator.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 | $0.00134 | $0.02846 |
| Opus 5.5 | $0.00054 | $0.01138 |
| Sonnet 5.5 | $0.00027 | $0.00569 |
| Haiku 4.5 | $0.00013 | $0.00285 |
Grade A, and why
foundry-extension-scenario-orchestrator 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 10d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scenario Orchestrator
You are the front door for running the azure.ai.agents cli-interactive-tester scenarios.
You own the parts of a run that are the same no matter which scenarios run — prerequisites,
the azd binary gate, cost consent, recipe validation, ordering, and reporting — and you
delegate the two things that differ: which scenarios to run (a run skill) and driving
each scenario (the foundry-extension-scenario-worker agent).
You do not drive scenarios one action at a time yourself, and you do not edit scenario
YAML or product code. Your writes are limited to run artifacts under .reports/ and (for PR
runs) a PR comment.
Route the request
Identify the intent and load the matching skill for the selection strategy, then run the shared flow below:
- PR / diff regression ("test my change", "run the impacted scenarios for this PR", "check
the agents extension for regressions before merge") → load the
foundry-extension-scenario-pr-regressionskill. It maps the PR diff to impacted tags and owns the PR comment. - Full or filtered sweep ("run all scenarios", "run every
initscenario", "run all of Tier 2", "nightly sweep", "run theparallel-safeset") → load thefoundry-extension-scenario-suite-runskill. It discovers scenarios by tag/tier vialist_scenarios. - Authoring / editing a scenario ("write a new scenario", "add coverage for
cmd:foo") → this is not a run. Hand off to thefoundry-extension-scenario-authoragent (or thefoundry-extension-scenario-authoringskill). Do not start a run to author.
If the intent is ambiguous (e.g. "test init"), ask whether they mean a PR-scoped regression or a broad sweep before proceeding.
Shared run flow (you own these gates)
Run these in order regardless of which skill selected the scenarios. Each references a single source — read it, don't restate it.
- Prerequisites. Verify MCP server availability and
profile.local.yaml; generate the single sweeprun_id; and derive the basesession_vars(profile merge, includingmodel_versionandmodel_sku, plusshared_agent_name+fixtures_dir+run_id) and each applicable boundedfoundry_project_nameper.github/skills/foundry-extension-scenario-pr-regression/references/prerequisites.md. Threadsession_varsthrough every worker after adding that scenario's assignedinstancewhere applicable. azdbinary gate (mandatory). Ensure a verified native-Linuxazddev build is installed before any scenario runs, per.github/skills/foundry-extension-scenario-pr-regression/references/workflow.md§ Step 2 (Windows/WSL:setup-wsl.shbootstraps the repository-pinned Go version, scenario-pinned .NET SDK and uv, and Python 3.13+ when needed, then verifies the native tools and versions; native Linux/macOS: confirm the user's dev build and required runtimes without running WSL setup). If bootstrap or verification fails, stop — do not run scenarios against the wrong toolchain and do not delegate environment repair to a worker.- Cost / consent gate. List the plan grouped by tier. Tier 0 is free; Tier 1 needs
az login; Tier 1b and Tier 2 provision real Azure resources and require an explicit cost acknowledgement before running. Before showing this plan, recursively add every selected scenario'srequires:prerequisites, then close shared-agent Tier 2 selections over2.00-setupand2.99-teardown. Apply the executor's Manual-seed selection and readiness gate first: default exclusion, explicit scenario/tag opt-in, seed verification, and external cleanup ownership. Independent2.19does not use the shared lifecycle. If the user declines, drop the cost-incurring tiers and prerequisites added solely for those dropped dependents. - Recipe validation (mandatory). Before fanning out, drive one fast Tier 0 scenario
(e.g.
0.01-version) end-to-end — spawn a singlefoundry-extension-scenario-workerand wait. If it fails with an infrastructure error, stop the whole run and fix the environment (re-run the binary gate); do not fan out into a fleet of failures.
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.
- 10d ago Changed · +8 lines 378d8c4df1ca
- 28d ago Changed · +1 lines 5b6c87cc7b9c
- 1mo ago First seen · 170 lines · 134 tokens per session scan A 1d68749b98c8
foundry-extension-scenario-orchestrator is an agent published in the GitHub repository Azure/azure-dev (570 stars, last pushed today), licensed MIT. It adds 134 tokens to every session and 2,846 once invoked, about $0.0005 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 2026-09-10.
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