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.
curl -O https://raw.githubusercontent.com/mouse-lin/finesse-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/mouse-lin/finesse-skillWrote 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/instructions/mouse-lin/finesse-skill/agents-md)<a href="https://agentmods.dev/instructions/mouse-lin/finesse-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mouse-lin/finesse-skill/agents-md/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/instructions/mouse-lin/finesse-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mouse-lin/finesse-skill/agents-md.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 | $0.03471 | $0.03471 |
| Opus 5.5 | $0.01388 | $0.01388 |
| Sonnet 5.5 | $0.00694 | $0.00694 |
| Haiku 4.5 | $0.00347 | $0.00347 |
Grade A, and why
finesse-skill AGENTS.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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
finesse — Agent Instructions
For OpenAI Codex and other agent runtimes that read
AGENTS.md. The full skill is atskills/finesse-ui/SKILL.md. Deep reference material lives inskills/finesse-ui/references/. Load what you need per phase — do not inline everything at once.
Apple design language
For Apple / 苹果风 requests, read skills/finesse-ui/references/apple-design.md before choosing the substrate. Keep the register and add design-language=apple plus apple-mode=editorial|app|spatial. The scoped aesthetic overrides there supersede conflicting defaults in this file. Editorial recipes and seven portable interactive studies are indexed in skills/finesse-ui/references/apple-patterns.md. Reuse interaction-motion.md for gestures; app and spatial do not automatically mean Bento or glass everywhere.
What finesse does
finesse builds interfaces routed by register:
- brand — landing pages, brand sites, launches, portfolios, hero pages. Design IS the product. Optimize for spectacle + soul + first impression. Uses a real visual engine (Three.js / Canvas / GLSL / GSAP).
- product — dashboards, admin panels, analytics, data tables, app shells, settings. Design SERVES the product. Optimize for clarity + density + usability.
- commerce — PDP, PLP, cart, checkout. A hybrid: route to brand or product by what the specific page is doing.
- h5 — pages that only ever live on a phone: H5 / 移动端页面 / 活动页 / mini-program screens / app prototypes / mobile PDPs. A container register — it fixes the phone frame, safe areas, thumb zone and native furniture, then wraps one of the three above for content. A mobile PDP is
h5+commerce.
All share the same premium substrate and anti-slop blacklist. None is allowed to look cheap.
Commands (targeted iteration)
A full build runs the whole workflow below. For iterating on an existing page, route the request through one verb instead of rebuilding — Codex has no slash commands, so map the user's intent to the verb and load only that reference.
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.
- 13d ago Changed · +4 lines · +139 tokens per session 7bae3d8297a4
- 2mo ago First seen · 157 lines · 3,332 tokens per session scan A 59b5fad741dc
finesse-skill AGENTS.md is an instructions file published in the GitHub repository mouse-lin/finesse-skill (958 stars, last pushed 14d ago), licensed MIT. It adds 3,471 tokens to every session, about $0.0139 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.
finesse-skill AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| finesse-skill AGENTS.mdmouse-lin/finesse-skill | Instructions file | 958 | 14d ago | MIT | A | 3,471 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |