finesse-skill: Instructions file for GitHub Copilot

.github/copilot-instructions.md

finesse-skill copilot-instructions.md is an instructions file for GitHub Copilot from mouse-lin/finesse-skill. It costs 2,100 tokens per session, scanned A, original, MIT.

A set of instructions that tells GitHub Copilot how to design interfaces for a project. It defines different approaches for brand pages, product screens, shopping pages, and phone-only pages.

In plain words
What is it for?
It is for guiding the design of landing pages, dashboards, commerce screens, mobile pages, and other interfaces while keeping their layout, visual style, and usability consistent.
Why use it?
It gives the coding agent project-specific visual rules and limits generic interface patterns when creating or revising a page.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is mouse-lin/finesse-skill's own configuration. It tells GitHub Copilot how to work on finesse-skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything finesse-skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mouse-lin/finesse-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mouse-lin/finesse-skill/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/mouse-lin/finesse-skill

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for finesse-skill copilot-instructions.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/mouse-lin/finesse-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mouse-lin/finesse-skill/copilot-instructions/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/mouse-lin/finesse-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mouse-lin/finesse-skill/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,100 This file is loaded in full into every session.
When invoked 2,100 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02100 $0.02100
Opus 5.5 $0.00840 $0.00840
Sonnet 5.5 $0.00420 $0.00420
Haiku 4.5 $0.00210 $0.00210

Measured 13d ago against content hash ef93ff3050ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

finesse-skill copilot-instructions.md 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 13d 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.

.github/copilot-instructions.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Instructions: finesse Design Standard

GitHub Copilot reads this file automatically. These rules replace generic AI design defaults with finesse's never-cheap, high-craft standards.

Apple design language

For Apple / 苹果风 requests, first read skills/finesse-ui/references/apple-design.md. Retain the register and choose editorial, app or spatial mode. Its scoped overrides supersede conflicting aesthetic defaults below: deliberate black/white surfaces and clean editorial layouts are allowed; grain, vignette, a hero engine and glass are not automatic requirements. Keep accessibility and functional gates. Use apple-patterns.md for the seven bundled card studies and interaction-motion.md for gestures.

Core Directive

You are generating UI for a finesse project. finesse routes by register:

  • brand (landing pages, hero sites, portfolios) — spectacle + soul + first impression
  • product (dashboards, analytics, admin) — clarity + density + usability
  • commerce (PDP, PLP, cart, checkout) — a hybrid; route to one of the two above by what the page does
  • h5 (H5 / 移动端页面 / 活动页 / app 原型 / mobile PDP) — a page that only ever lives on a phone. A container register: fix the frame first, then wrap one of the three above. See rule 9.

All are never cheap. The premium substrate and anti-slop rules apply to all.

The 9 Non-Negotiables

  1. Read the brief first, and assert a direction the user can actually veto. Before any code, output Design Read: {industry} · {soul} · register={brand|product|commerce|h5} · SPECTACLE={n}, then — on its own line — You'll see: a plain description of what renders (color, whether anything moves, type size, structure; no jargon, no library names), then two named likely objections (Not right? Most likely: ① … ② …). Stop and wait. The coordinate line is for you; You'll see: is the only line a non-designer can answer, and a gate only "go ahead" can pass is not a gate. Also name the lazy default aesthetic and how you are beating it — at two altitudes: the category default ("coffee → beige+brass") and the obvious anti-reference ("AI tool that's not SaaS-cream → editorial-typographic"). Avoiding the first reflex but landing on the second is still slop.
    • Before saying "done," check the built page against that You'll see: line clause by clause. Anything that quietly became something else (a moving hero degraded to a static image, a dark theme drifting light) is a P0 — every other rule can pass while the page stops being what the user approved.
    • Name the image slots in that same block, and then wait. Add an Images: line: how many pictures the page wants, what each depicts, and where they would come from in this session (check your actual tools first — image-gen available? network fetch only? neither?). Judge the slots off the skeleton, not the industry — a hero, a gallery, a PDP shot, an H5 cover or scene, even a dashboard's empty state or avatar row. Food/hotel/fashion briefs are the obvious cases, not the boundary; if the page truly wants none, write none and one clause of why. This is an offer the user answers — never a licence to act on it. Do not generate images and do not download or hotlink stock because you judged the brief implied them: both spend the user's budget or pull from the open network, and only an explicit yes to this question authorizes either. Silence, or approval of something else, is a no. Protocol: skills/finesse-ui/references/asset-sourcing.md.
    • Explain in observable terms, always. Gloss any term the user didn't use first — eyebrow (the small all-caps line above a headline), grain (a nearly invisible speckle so flat color doesn't read plastic). Never emit internal bookkeeping (five-axis coordinates, differs on E + C + A, reference filenames).

Read the full file on GitHub · 61 lines

Changes

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.

  1. 13d ago Changed · +4 lines · +104 tokens per session ef93ff3050ca
  2. 2mo ago First seen · 57 lines · 1,996 tokens per session scan A fbf9156441ba

Subscribe to this mod's changes

finesse-skill copilot-instructions.md is an instructions file published in the GitHub repository mouse-lin/finesse-skill (958 stars, last pushed 14d ago), licensed MIT. It adds 2,100 tokens to every session, about $0.0084 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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