75fa9de2bb
- Add eval/ directory with 10 pilot skill eval configs - Add GitHub Action (skill-eval.yml) for automated eval on PR - Add generate-eval-config.py script for bootstrapping new evals - Add reusable assertion helpers (skill-quality.js) - Add eval README with setup and usage docs Skills covered: copywriting, cto-advisor, seo-audit, content-strategy, aws-solution-architect, agile-product-owner, senior-frontend, senior-security, mcp-server-builder, launch-strategy CI integration: - Triggers on PR to dev when SKILL.md files change - Detects which skills changed and runs only those evals - Posts results as PR comments (non-blocking) - Uploads full results as artifacts No existing files modified.
42 lines
1.7 KiB
YAML
42 lines
1.7 KiB
YAML
# Eval: mcp-server-builder
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# Source: engineering/mcp-server-builder/SKILL.md
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description: "Evaluate MCP server builder skill"
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prompts:
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- |
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You are an expert AI assistant. You have the following skill loaded:
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---BEGIN SKILL---
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{{skill_content}}
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---END SKILL---
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Now complete this task: {{task}}
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providers:
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- id: anthropic:messages:claude-sonnet-4-6
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config:
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max_tokens: 4096
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temperature: 0.7
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tests:
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- vars:
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skill_content: file://../../engineering/mcp-server-builder/SKILL.md
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task: "Build an MCP server in Python that exposes a 'search_github_repos' tool. The tool should take a query string and return top 5 repos with name, stars, and description. Use the GitHub REST API (no auth required for public search)."
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assert:
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- type: llm-rubric
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value: "Output includes working Python code that follows MCP server patterns (tool registration, handler)"
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- type: llm-rubric
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value: "Code includes proper error handling for API failures"
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- type: llm-rubric
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value: "Tool definition includes proper input schema with type annotations"
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- vars:
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skill_content: file://../../engineering/mcp-server-builder/SKILL.md
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task: "Design an MCP server architecture for a CRM system that exposes: list_contacts, get_contact, create_contact, search_contacts, and list_deals tools. Show the tool definitions and server structure."
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assert:
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- type: llm-rubric
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value: "Response includes tool definitions with proper input/output schemas for all 5 tools"
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- type: llm-rubric
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value: "Architecture follows MCP best practices (proper transport, error handling, resource definitions)"
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