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.
43 lines
1.6 KiB
YAML
43 lines
1.6 KiB
YAML
# Eval: seo-audit
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# Source: marketing-skill/seo-audit/SKILL.md
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# Run: npx promptfoo@latest eval -c eval/skills/seo-audit.yaml
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description: "Evaluate SEO audit 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://../../marketing-skill/seo-audit/SKILL.md
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task: "Perform an SEO audit checklist for a new SaaS landing page targeting the keyword 'AI code review tool'. The page has a 3-second load time, no meta description, and 200 words of content."
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assert:
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- type: llm-rubric
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value: "Response identifies specific SEO issues (load time, missing meta description, thin content) rather than generic advice"
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- type: llm-rubric
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value: "Response provides actionable fixes with priority ordering"
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- type: llm-rubric
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value: "Response references on-page SEO factors like title tags, headings, and internal linking"
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- vars:
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skill_content: file://../../marketing-skill/seo-audit/SKILL.md
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task: "Create a keyword strategy for a B2B SaaS in the project management space. We're a small startup competing against Asana, Monday.com, and Jira."
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assert:
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- type: llm-rubric
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value: "Response suggests long-tail keywords rather than only head terms where competition is impossible"
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- type: llm-rubric
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value: "Response organizes keywords by intent (informational, commercial, transactional)"
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