Borrowing it
Nothing to install: this file belongs to zish-rob-crur/nucleus-apple-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zish-rob-crur/nucleus-apple-mcp/main/.agents/skills/polish/SKILL.mdgit clone --depth 1 https://github.com/zish-rob-crur/nucleus-apple-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/polish)<a href="https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/polish"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/polish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/polish"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01793 |
| Opus 5 | $0.00013 | $0.00897 |
| Sonnet 5 | $0.00005 | $0.00359 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
polish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
84% identical to polish — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First: Use the frontend-design skill for design principles and anti-patterns.
Perform a meticulous final pass to catch all the small details that separate good work from great work. The difference between shipped and polished.
Pre-Polish Assessment
Understand the current state and goals:
-
Review completeness:
- Is it functionally complete?
- Are there known issues to preserve (mark with TODOs)?
- What's the quality bar? (MVP vs flagship feature?)
- When does it ship? (How much time for polish?)
-
Identify polish areas:
- Visual inconsistencies
- Spacing and alignment issues
- Interaction state gaps
- Copy inconsistencies
- Edge cases and error states
- Loading and transition smoothness
CRITICAL: Polish is the last step, not the first. Don't polish work that's not functionally complete.
Polish Systematically
Work through these dimensions methodically:
Visual Alignment & Spacing
- Pixel-perfect alignment: Everything lines up to grid
- Consistent spacing: All gaps use spacing scale (no random 13px gaps)
- Optical alignment: Adjust for visual weight (icons may need offset for optical centering)
- Responsive consistency: Spacing and alignment work at all breakpoints
- Grid adherence: Elements snap to baseline grid
Check:
- Enable grid overlay and verify alignment
- Check spacing with browser inspector
- Test at multiple viewport sizes
- Look for elements that "feel" off
Typography Refinement
- Hierarchy consistency: Same elements use same sizes/weights throughout
- Line length: 45-75 characters for body text
- Line height: Appropriate for font size and context
- Widows & orphans: No single words on last line
- Hyphenation: Appropriate for language and column width
- Kerning: Adjust letter spacing where needed (especially headlines)
- Font loading: No FOUT/FOIT flashes
Color & Contrast
- Contrast ratios: All text meets WCAG standards
- Consistent token usage: No hard-coded colors, all use design tokens
- Theme consistency: Works in all theme variants
- Color meaning: Same colors mean same things throughout
- Accessible focus: Focus indicators visible with sufficient contrast
- Tinted neutrals: No pure gray or pure black—add subtle color tint (0.01 chroma)
- Gray on color: Never put gray text on colored backgrounds—use a shade of that color or transparency
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 201 lines · 26 tokens per session scan A d2047bfd8259
polish is a skill published in the GitHub repository zish-rob-crur/nucleus-apple-mcp (20 stars, last pushed 7d ago), licensed MIT. It adds 26 tokens to every session and 1,793 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to polish, differing in 17 lines, and is treated as a copy.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.