2.7 KiB
2.7 KiB
Eval Grading Results — Reference Splits Verification
Summary
| Skill | Status | Lines | Quality | Verdict |
|---|---|---|---|---|
| performance-profiler | ✅ Complete | 157 | A | PASS |
| product-manager-toolkit | ✅ Complete | 148 | A+ | PASS |
| seo-audit | ✅ Complete | 178 | A | PASS |
| risk-management-specialist | ⚠️ CLI hang | 0 | N/A | SKIP (known -p issue) |
Detailed Grading
1. performance-profiler — PASS ✅
Assertions:
- Mentions specific Node.js profiling tools (clinic.js, k6, autocannon) ✅
- Includes PostgreSQL analysis (EXPLAIN ANALYZE referenced) ✅
- Provides runnable code/commands ✅ (k6 load test script included)
- Systematic phased approach ✅ (Phase 1: Baseline, Phase 2: Find Bottleneck)
- References the skill by name ("Using the performance-profiler skill") ✅ Notes: Output follows the skill's profiling recipe structure. Reference file split did not degrade quality.
2. product-manager-toolkit — PASS ✅
Assertions:
- Uses "As a / I want / So that" format ✅
- 3-5 user stories ✅ (5 stories: US-001 through US-005)
- Testable acceptance criteria with Given/When/Then ✅
- Priority and story point estimates ✅
- Covers upload, extraction, export ✅ Notes: Exceptional quality. BDD-style acceptance criteria, proper persona definition, clear scope. The skill performed exactly as intended.
3. seo-audit — PASS ✅
Assertions:
- Covers technical SEO ✅ (robots.txt, sitemap, redirects, CWV)
- Covers on-page optimization ✅ (Phase 3 section)
- Covers content strategy ✅ (topical authority, long-tail targeting)
- Competitive analysis included ✅ (mentions Asana, Monday, ClickUp)
- Prioritized with effort estimates ✅ (Impact/Effort columns, phased weeks)
- Specific tools mentioned ✅ (Search Console, Screaming Frog, PageSpeed Insights) Notes: Comprehensive, well-structured. References the skill's reference file content (structured data schemas, content gap analysis). Split preserved all domain knowledge.
4. risk-management-specialist — SKIPPED
Reason: Claude Code -p hangs with long system prompts on this server (known issue in MEMORY.md).
Structural validation: PASSED quick_validate.py after frontmatter fix.
Mitigation: Skill passed structural validation + the reference files were verified to exist and be linked. The hang is a CLI limitation, not a skill quality issue.
Conclusion
3/3 completed evals demonstrate the reference file splits preserved full skill quality. Skills correctly reference their references/ directories and produce expert-level domain output. The split is safe to merge.