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Use AI to compare rendered HTML to original PDF page. AI makes contextual judgment about visual accuracy with explainable reasoning. BLOCKING quality gate - stops pipeline if score below 85%.
Passed 16 of 19 test cases with the skill, and 9 of 19 without it.
and 10 more in the full report
8 fixed10 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
In our visual quality inspection protocol for book chapters, we weight four visual criteria to compute the final similarity score. What exact weight percentages are assigned to layout match, visual hierarchy, and content positioning?
| Checked | Without skill | With skill |
|---|---|---|
| Layout match is assigned a weight of 40%. | Missed | Passed |
| Visual hierarchy is assigned a weight of 30%. | Missed | Passed |
| Content positioning is assigned a weight of 20%. | Missed | Passed |
The instructions your model reads when the skill loads.
This is a BLOCKING quality gate that uses AI to validate visual accuracy of generated HTML against the original PDF page. Unlike pixel-perfect comparison, AI understands:
The AI provides:
This combines AI's contextual understanding with deterministic gating (must pass 85+ to continue).
Load input files
chapter_XX.html (generated consolidated HTML)02_page_XX.png (original PDF page image)Render HTML to image
Invoke Claude with visual comparison
Parse AI response
test cases passed, vs 9 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.