Landing page audit, anti-slop pass, and OG brief
Use hallmark for judgment, kill-ai-slop for mechanical recall, and visual-skills for a model-specific social-card brief.
Bring
- Public URL, local page, or repository
- Page purpose and intended audience
- Declared design genre or design-system constraints
Receive
- Severity-ranked visual audit
- Scanner report with human-confirmed findings
- Correction checklist
- Model-routed 1200×630 OG image brief
The path and every handoff
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Audit with judgment hallmarkFUNCTION VERIFIED
Find hierarchy, genre, typography, and macrostructure problems that mechanical rules cannot judge.
- Input
- Rendered page plus its audience, purpose, and declared design genre
- Instruction
- Use hallmark's audit verb and record each finding as what, where, severity, and proposed fix without editing the page yet.
- Output
- hallmark-audit.md human confirmation
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Scan and confirm anti-patterns kill-ai-slopFUNCTION VERIFIED
Catch mechanical regressions quickly, then separate true problems from design-system exemptions and scanner self-matches.
- Input
- Page source and declared design-system exemptions
- Instruction
- Run the bundled scanner, retain raw hits, and complete its required human-confirm step before proposing fixes.
- Output
- anti-slop-report.md human confirmation
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Brief the social card visual-skills (video + image)FUNCTION VERIFIED
Choose an image model based on the content and convert the approved page direction into a constrained OG prompt.
- Input
- Approved brand direction, exact copy, palette, and 1200×630 use case
- Instruction
- Follow visual-skills' mandatory model-routing reference before producing the five-slot image brief with exact-text constraints.
- Output
- og-image-brief.md human confirmation
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Verify the corrected page and OG asset Verification or human checkpointUNVERIFIED
Check that fixes did not introduce regressions and that the final image meets its dimensions and copy contract.
- Input
- Corrected page and generated OG image
- Instruction
- Re-run mechanical checks, capture responsive screenshots, run basic accessibility checks, and inspect OG dimensions, text, and safe margins.
- Output
- before-after report and final-og.png human confirmation
Result you can inspect now
What this proves: hallmark produced a severity-ranked audit, kill-ai-slop ran its scanner and human-confirm pass, and visual-skills produced a model-routed 1200 by 630 social-card brief for the same page.
What it does not prove: Applying the proposed fixes, generating a final OG image, repeated-run consistency, or measuring quality gain against a no-skill baseline.
- hallmark: 0 critical, 1 major, 3 minor findings before genre confirmation
- kill-ai-slop: 30 raw hits across 3 groups, about 1 surviving human confirmation
- visual-skills: one structured GPT Image social-card brief
Known limits
- The published run audited the page but did not apply the fixes.
- The social-card deliverable is a prompt brief, not a generated image.
- hallmark's genre severity is ambiguous when a page has no design stamp.
- kill-ai-slop's raw scanner hits require human confirmation.
Implementation pack
The pack is generated from this path record and the tested-skill source data. Install commands, commits, evidence status, handoffs, and limitations stay attached to the plan.