Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# design-taste-frontend (v2, goal-oriented)
Third-party skill (Leonxlnx/taste-skill, MIT; see `UPSTREAM.md` and `LICENSE`). The complete, unmodified rule set is `references/taste-rules.md` in this folder. This file states the goal and the binding constraints; every rule in the reference still applies.
## Objective
Ship a landing page, portfolio or redesign that does not read as templated or AI-generated, built for the audience the brief implies, using the brand material that already exists.
## Done when
- A one-line design read (page kind, audience, vibe, design-system or aesthetic family) and the three dials (`DESIGN_VARIANCE`, `MOTION_INTENSITY`, `VISUAL_DENSITY`) are stated before any code, with reasons.
- For a redesign, the audit in section 11 of `references/taste-rules.md` is written before any change: brand tokens, IA, content blocks, patterns to keep and retire, and the current dial reading.
- The page is rendered and screenshotted at mobile and desktop widths, in light and dark mode, and every box in the Final Pre-Flight Check (section 14) is honestly ticked. A failed box means the work is not done.
## Constraints
…
The line at the top of this page pins the label git:20260930.afc34ba, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (3253 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
cgallic/kai-cmo-harness · 58 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nkqlu2awwehkfocu
GET https://markdownregistry.com/api/v1/resolve?ref=cgallic/kai-cmo-harness/design-taste-frontend
GET https://markdownregistry.com/api/v1/blob/f92ef0c8b6c32a6abf3a8c8983bd226194b3a572dd5bff0324aff510dd800e98
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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