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08541ee5a9
* .NET: Refactor AgentSkill API to async resource and script lookup Replace property-based AgentSkill.Content, Resources, and Scripts with async-by-name lookup methods plus boolean availability flags: - Content (string getter) -> GetContentAsync(CancellationToken) - Resources (full list) -> HasResources + GetResourceAsync(name, ct) - Scripts (full list) -> HasScripts + GetScriptAsync(name, ct) This makes the API friendlier for sources like MCP where enumerating all resources up front is expensive or impossible, and allows skill implementations to fetch content lazily. Subclass changes: - AgentFileSkill and AgentInlineSkill implement the new async API while preserving content caching. - AgentClassSkill<TSelf> keeps virtual Resources/Scripts properties for reflection-based discovery and seals the new HasResources/HasScripts/ GetResourceAsync/GetScriptAsync overrides. Its previously non-thread-safe lazy initialization is replaced with Lazy<T> (default thread-safety) wired up in a new protected constructor, so concurrent first-access from multiple threads is safe. - AgentSkillsProvider calls the new async API and exposes ead_skill_resource / load_skill / un_skill_script tools that await the per-name lookups. Includes baseline CompatibilitySuppressions.xml entries for the removed property getters. Tests: - Direct coverage for HasResources, HasScripts, GetResourceAsync, and GetScriptAsync on all three skill implementations (positive, missing-name, and no-resources/no-scripts cases). - Thread-safety regression test for AgentClassSkill<TSelf> that exercises concurrent first-access to Resources, Scripts, and GetContentAsync from many tasks and asserts all observers see the same cached instance. - Provider-level coverage for the ead_skill_resource tool (invocation + error paths) and for the previously untested error paths of load_skill and un_skill_script (empty names, skill/resource/script not found). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review comments - Move GetScriptAsync inside try/catch in RunSkillScriptAsync for error-handling parity - Remove dead _reflectedResources branch from AgentSkillTestExtensions - Fix XML docs to reference virtual Resources/Scripts properties (not sealed methods) - Add Async suffix to async test methods per naming convention - Make no-await tests synchronous to eliminate CS1998 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix formatting: add UTF-8 BOM and remove unused using Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix XML cref: Resources/Scripts are on AgentClassSkill<TSelf> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove HasResources and HasScripts properties from AgentSkill Drop the virtual HasResources and HasScripts properties from AgentSkill and all concrete subclasses (AgentFileSkill, AgentInlineSkill, AgentClassSkill). AgentSkillsProvider now always includes all three tools (load_skill, read_skill_resource, run_skill_script) and both instruction blocks, since the tools already handle missing resources/scripts gracefully. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add blank line for readability in file-based skills sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix HostedAgentSkillsPatternTests for always-included tools Update assertions to expect read_skill_resource and run_skill_script tools are always present, matching the new behavior. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
08541ee5a9
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2026-05-25 17:16:03 +00:00
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File-Based Agent Skills Sample
This sample demonstrates how to use file-based Agent Skills with a ChatClientAgent.
What it demonstrates
- Discovering skills from
SKILL.mdfiles on disk viaAgentFileSkillsSource - The progressive disclosure pattern: advertise → load → read resources → run scripts
- Using the
AgentSkillsProviderconstructor with a skill directory path and script runner - Running file-based scripts (Python) via a subprocess-based executor
Skills Included
unit-converter
Converts between common units (miles↔km, pounds↔kg) using a multiplication factor.
references/conversion-table.md— Conversion factor tablescripts/convert.py— Python script that performs the conversion
Running the Sample
Prerequisites
- .NET 10.0 SDK
- Azure OpenAI endpoint with a deployed model
- Python 3 installed and available as
python3on your PATH
Setup
export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
Run
dotnet run
Expected Output
Converting units with file-based skills
------------------------------------------------------------
Agent: Here are your conversions:
1. **26.2 miles → 42.16 km** (a marathon distance)
2. **75 kg → 165.35 lbs**