agentic-eval
FreePatterns and techniques for evaluating and improving AI agent outputs.
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Comprehensive testing framework for skills
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See how to installReview the instructions the agent will receive before you install.
Validate skill functionality with automated tests.
skill/
├── SKILL.md
└── test-cases/
├── basic.yml
├── edge-cases.yml
└── integration.yml
name: Basic Functionality
description: Test core skill behavior
setup:
- mkdir -p /tmp/test-project
- cd /tmp/test-project
tests:
- name: Should load successfully
input: invoke skill
expected:
status: success
output_contains: 'Skill loaded'
- name: Should reject invalid input
input: invoke skill with "invalid"
expected:
status: error
error_contains: 'Invalid input'
teardown:
- rm -rf /tmp/test-project
dotnet-agent-harness:test <skill> - Run all testsdotnet-agent-harness:test <skill> --filter basic - Filter testsdotnet-agent-harness:test all - Test all skillsdotnet-agent-harness:test all --format junit --output results.xml - Emit CI-friendly reportsstatus: success|erroroutput_contains: "string"output_matches: /regex/file_exists: "path"no_errors - Check stderr empty✓ skill-name
✓ basic functionality (12ms)
✓ edge cases (8ms)
✗ integration test (failed)
Expected: "success"
Got: "error: missing dependency"
Results: 2 passed, 1 failed
- name: Test Skills
run: |
dotnet agent-harness test all --format junit --output results.xml
dotnet-agent-harness:test all --format junit --output results.xml
- name: Upload Results
uses: actions/upload-artifact@v4
with:
name: test-results
path: results.xml
Test fails: Check skill dependencies Timeout: Increase timeout in test config Flaky tests: Use deterministic inputs
Primary approach: Use Serena symbol operations for efficient code navigation:
serena_find_symbol instead of text searchserena_get_symbols_overview for file organizationserena_find_referencing_symbols for impact analysisserena_replace_symbol_body for clean modificationsWhen to use Serena vs traditional tools:
Example workflow:
# Instead of:
Read: src/Services/OrderService.cs
Grep: "public void ProcessOrder"
# Use:
serena_find_symbol: "OrderService/ProcessOrder"
serena_get_symbols_overview: "src/Services/OrderService.cs"
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Patterns and techniques for evaluating and improving AI agent outputs.
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Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
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Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
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AI-powered wiki generation for code repositories with commands, agents, and skills
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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Implements accessible .NET UI. SemanticProperties, ARIA, AutomationPeer, testing per platform.
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