microsoft-foundry
Manage Microsoft Foundry Agents
Foundry agent projects require coordinated setup across azd, Azure resources, models, tools, and evaluations. This skill guides Claude, Codex, and Claude Code through those workflows with project-specific checks and handoffs.
Stop for confirmation before installing.
Review the plan and obtain explicit user consent before changing files.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "microsoft-foundry" from https://skillstore.io/skills/microsoft-microsoft-foundry.md and its manifest at https://skillstore.io/api/skills/microsoft-microsoft-foundry/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "microsoft-foundry". Create a new hosted Foundry agent from scratch.
Expected outcome:
The skill selects the quick-start create workflow, checks required Azure and azd context, asks for missing project choices, and outlines the deployment path.
Using "microsoft-foundry". Evaluate my deployed support agent and improve the prompt.
Expected outcome:
The skill identifies the observe workflow, prepares evaluation setup, recommends dataset and evaluator checks, and summarizes optimization actions for review.
Using "microsoft-foundry". Find a region with capacity for a model deployment.
Expected outcome:
The skill routes to model capacity guidance, compares available regions and quotas, and explains deployment tradeoffs before any Azure changes.
Security Audit
SafeAll 400 representative static findings were adjudicated as false positives in context. They describe documented Azure Foundry administration, local project configuration, or guarded utility behavior; no prompt injection, credential exfiltration, or malicious intent was found. The skill can still execute cloud administration workflows, so users should review commands before applying changes. Static review was capped at 400/1141 representative findings; omitted static matches are unconfirmed, so automatic publishing stays disabled until manual review.
Risk Factors
๐ Network access (50)
๐ Env variables (50)
โก Contains scripts (7)
โ๏ธ External commands (50)
๐ Filesystem access (50)
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APA citation
microsoft. (2026). microsoft-foundry security audit report (audit version 6) [Author version 0.0.0-placeholder]. Skillstore. https://skillstore.io/skills/microsoft-microsoft-foundry/audits/6BibTeX citation
@techreport{microsoft-microsoft-microsoft-foundry-2026,
author = {microsoft},
title = {microsoft-foundry security audit report (audit version 6)},
institution = {Skillstore},
year = {2026},
number = {6},
url = {https://skillstore.io/skills/microsoft-microsoft-foundry/audits/6},
note = {Author version 0.0.0-placeholder}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "microsoft-foundry security audit report (audit version 6)"
version: "0.0.0-placeholder"
type: report
authors:
- name: "microsoft"
date-released: "2026-07-20"
url: "https://skillstore.io/skills/microsoft-microsoft-foundry/audits/6"
identifiers:
- type: other
value: "skillstore:microsoft-microsoft-foundry:audit:6"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Create a Hosted Agent
Scaffold a hosted Foundry agent, connect it to a project, deploy it, and run a smoke test.
Evaluate Agent Quality
Build evaluation datasets, run batch evaluations, inspect traces, and optimize prompts or instructions.
Prepare Production Infrastructure
Plan resources, model capacity, quota, RBAC, networking, and deployment settings for Foundry workloads.
Try These Prompts
Help me create a new Azure AI Foundry project for a hosted agent. Ask for any missing subscription, region, and project details first.
Review my current Foundry agent project, verify the azd environment, and guide me through a safe deployment and smoke test.
Set up an evaluation workflow for my Foundry agent, suggest datasets and evaluators, then help analyze failures and optimize instructions.
Create a production readiness plan for a Foundry agent, including RBAC, quota, model capacity, private networking, evaluation, and rollback checks.
Best Practices
- Confirm the target subscription, resource group, project endpoint, agent root, and environment before write operations.
- Prefer managed identity and project connections over raw API keys when a workflow supports both.
- Keep generated evaluation artifacts under the selected .foundry folder and review them before deployment.
Avoid
- Do not run deployment, quota, RBAC, or cleanup commands against an inferred subscription.
- Do not paste secrets into prompts when managed identity, environment variables, or project connections can be used.
- Do not reuse stale azd environment values across development, staging, and production projects.
Frequently Asked Questions
Does this skill create Azure resources?
Can it manage existing Foundry agents?
Does it require Azure CLI or azd?
Can it help with model deployment capacity?
How does it handle secrets?
Is this only for Claude?
Developer Details
Author
microsoftLicense
MIT
Author version
v0.0.0-placeholder
Skillstore revision
r1
Repository
https://github.com/microsoft/github-copilot-for-azure/tree/main/plugin/skills/microsoft-foundry/Ref
1200d2f84325e4a40a4c6cc230f3864179fd6940
Maintenance freshness
7/18/2026
Usage
8 downloads ยท 208 views
File structure
๐ .gitignore
๐ finetuning/
๐ references/
๐ agentic-rft.md
๐ dataset-formats.md
๐ deployment.md
๐ evaluation.md
๐ grader-design.md
๐ hyperparameters.md
๐ platform-gotchas.md
๐ reward-hacking.md
๐ training-curves.md
๐ training-types.md
๐ scripts/
๐ calibrate_grader.py
๐ check_training.py
๐ cleanup.py
๐ common.py
๐ convert_dataset.py
๐ deploy_model.py
๐ evaluate_model.py
๐ generate_distillation_data.py
๐ monitor_training.py
๐ score_dataset.py
๐ submit_training.py
๐ validate/
๐ __init__.py
๐ data_stats.py
๐ validate_dpo.py
๐ validate_rft.py
๐ validate_sft.py
๐ SKILL.md
๐ workflows/
๐ dataset-creation.md
๐ full-pipeline.md
๐ quickstart.md
๐ foundry-agent/
๐ agent-optimizer/
๐ agent-optimizer.md
๐ references/
๐ azd-setup.md
๐ eval-yaml.md
๐ optimize-workflow.md
๐ python-patterns.md
๐ scaffold.md
๐ create/
๐ create-hosted.md
๐ create-prompt.md
๐ references/
๐ agent-tools.md
๐ agentframework.md
๐ azd-ai-cli.md
๐ guardrails/
๐ guardrail-attach.md
๐ guardrail-manage.md
๐ local-run.md
๐ sdk-operations.md
๐ skills/
๐ skill-attach.md
๐ skill-manage.md
๐ tool-a2a.md
๐ tool-fabric-iq.md
๐ tool-file-search.md
๐ tool-mcp.md
๐ tool-memory.md
๐ tool-openapi.md
๐ tool-tool-search.md
๐ tool-web-search.md
๐ tool-work-iq.md
๐ toolbox-reference.md
๐ tools.md
๐ use-toolbox-in-hosted-agent.md
๐ scripts/
๐ deploy/
๐ deploy.md
๐ eval-datasets/
๐ eval-datasets.md
๐ references/
๐ dataset-curation.md
๐ eval-lineage.md
๐ eval-regression.md
๐ eval-trending.md
๐ trace-to-dataset.md
๐ invocations-ws/
๐ invocations-ws.md
๐ references/
๐ invocations-ws-protocol.md
๐ invoke/
๐ invoke.md
๐ references/
๐ file-operations.md
๐ observe/
๐ observe.md
๐ references/
๐ analyze-results.md
๐ cicd-monitoring.md
๐ compare-iterate.md
๐ continuous-eval.md
๐ deploy-and-setup.md
๐ evaluate-step.md
๐ evaluation-suite-generation.md
๐ optimize-deploy.md
๐ routine/
๐ references/
๐ azure-yaml.md
๐ cli-crud.md
๐ routine.md
๐ trace/
๐ references/
๐ analyze-failures.md
๐ analyze-latency.md
๐ eval-correlation.md
๐ kql-templates.md
๐ search-traces.md
๐ trace.md
๐ troubleshoot/
๐ troubleshoot.md
๐ models/
๐ deploy-model/
๐ capacity/
๐ scripts/
๐ discover_and_rank.sh
๐ query_capacity.ps1
๐ query_capacity.sh
๐ SKILL.md
๐ customize/
๐ EXAMPLES.md
๐ references/
๐ customize-guides.md
๐ SKILL.md
๐ preset/
๐ EXAMPLES.md
๐ references/
๐ preset-workflow.md
๐ workflow.md
๐ SKILL.md
๐ scripts/
๐ generate_deployment_url.ps1
๐ generate_deployment_url.sh
๐ SKILL.md
๐ TEST_PROMPTS.md
๐ project/
๐ connections.md
๐ create/
๐ create-foundry-project.md
๐ quota/
๐ quota.md
๐ references/
๐ capacity-planning.md
๐ error-resolution.md
๐ optimization.md
๐ ptu-guide.md
๐ troubleshooting.md
๐ workflows.md
๐ rbac/
๐ rbac.md
๐ references/
๐ agent-metadata-contract.md
๐ sdk/
๐ foundry-sdk-py.md
๐ resource/
๐ create/
๐ create-foundry-resource.md
๐ references/
๐ patterns.md
๐ troubleshooting.md
๐ workflows.md
๐ private-network/
๐ private-network.md
๐ references/
๐ custom-template-adaptation.md
๐ deploy.md
๐ end-to-end-test.md
๐ intake.md
๐ post-deployment-validation.md
๐ scaffold.md
๐ template-index.md
๐ vpn-dns-setup.bicep
๐ vpn-dns-setup.md
๐ SKILL.md
๐ version.json