impeccable

impeccable is a skill for Codex from qiuy-collab/AutoFlow.skill. It costs 189 tokens per session (5,660 once invoked), scanned A, a copy of impeccable, MIT.

A toolkit and workflow for designing, reviewing, and improving frontend interfaces. It covers websites, dashboards, product screens, forms, settings, onboarding, and empty states.

In plain words
What is it for?
Use it to build or refine frontend pages and components, including their layout, wording, colors, motion, accessibility, and overall interaction design.
Why use it?
It helps turn an interface that feels unclear, rough, or inconsistent into one with deliberate design decisions and working code. It also requires checking the project's product and design context before certain tasks.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node integrations/impeccable/scripts/pin.mjs <pin|unpin> <command>.

Good fit Use it to build or refine frontend pages and components, including their layout, wording, colors, motion, accessibility, and overall interaction design.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/qiuy-collab/AutoFlow.skill
agentmods
npx agentmods add skills/qiuy-collab/autoflow.skill/impeccable

Made for: Codex.

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 impeccable

README.md
[![agentmods](https://agentmods.dev/badge/skills/qiuy-collab/autoflow.skill/impeccable.svg)](https://agentmods.dev/skills/qiuy-collab/autoflow.skill/impeccable)
Your own site
<a href="https://agentmods.dev/skills/qiuy-collab/autoflow.skill/impeccable"><img src="https://agentmods.dev/badge/skills/qiuy-collab/autoflow.skill/impeccable.svg" alt="Measured on agentmods" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,660 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 80% copy Near-identical to another mod 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 $0.00189 $0.05660
Opus 5 $0.00095 $0.02830
Sonnet 5 $0.00038 $0.01132
Haiku 4.5 $0.00019 $0.00566

Measured 7d ago against content hash 2966ceb37e3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

impeccable 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 7d ago.

The scan reads SKILL.md. This mod also ships 20 executable files (scripts/context-signals.mjs, scripts/context.mjs, scripts/critique-storage.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

80% identical to impeccable — 68 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.

integrations/impeccable/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Designs and iterates production-grade frontend interfaces. Real working code, committed design choices, exceptional craft.

Setup

You MUST do these steps before proceeding:

  1. Run node scripts/impeccable_adapter.mjs context once per session; if the runtime shows this skill's loaded base directory, run node <skill-base-dir>/scripts/context.mjs instead. Keep cwd/workdir at the user's project, not the skill directory. If the request names or implies a file, route, or app inside a monorepo, infer the concrete path and append --target <path> to the same command. If you've already seen its output in this conversation, do not re-run it. The script either prints the project's PRODUCT.md (and DESIGN.md when present) as a markdown block, or tells you it's missing. Follow whatever it prints. If it reports NO_PRODUCT_MD: divert into reference/init.md first when the user invoked init, teach, craft, or shape, or when their wording clearly maps to one of those from-scratch build flows (for example: "build/create/make a landing page", "design a new app", or "shape a feature"). Captured product context is the point of those flows. For any other command, a scoped evaluate / refine / enhance / fix / iterate request against existing code, do not divert into init. The existing code is the context: proceed with the requested command, infer the register from the surface in focus (step 4), and offer $impeccable init once as a suggestion the user can take later. A missing PRODUCT.md must never block a scoped request. If the output ends with an UPDATE_AVAILABLE directive, follow it (ask the user once about updating, then continue). It never blocks the current task.
  2. If the user invoked a sub-command (craft, shape, audit, polish, ...), you MUST read the command's reference next: reference/<command>.md, or the native variant from the Commands table (e.g. reference/audit.native.md) when the project platform is native (ios / android / adaptive, per the context.mjs directive). One file, not both. Non-optional. The reference defines the command's flow; without it you will skip steps the user expects.
  3. Familiarize yourself with any existing design system, conventions, and components in the code. Read at least one project file (CSS / tokens / theme / a representative component or page). Required even when you've loaded a sub-command reference in step 2. Don't reinvent the wheel; use what's there when it works, branch out when the UX wins.
  4. Read the matching register reference. This is non-optional; skipping it produces generic output. If the project is marketing, a landing page, a campaign, long-form content, or a portfolio (design IS the product), read reference/brand.md. If it is app UI, admin, a dashboard, or a tool (design SERVES the product), read reference/product.md. Pick by first match: (1) task cue ("landing page" vs "dashboard"); (2) surface in focus (the page, file, or route being worked on); (3) register field in PRODUCT.md.
  5. If PRODUCT.md's ## Platform is ios or android, also read reference/<platform>.md (HIG / Material 3 conventions). adaptive (cross-platform, ships both) reads both files. web, absent, or unrecognized: nothing extra to read. context.mjs prints the directive when one applies.
  6. If the project is brand-new (no existing CSS tokens / theme / committed brand colors found in step 3), run node scripts/impeccable_adapter.mjs palette to receive a brand seed color and composition guidance. This is the anchor for your primary brand color. Compose the rest of the palette (bg, surface, ink, accent, muted) around it per the script's instructions. Use OKLCH throughout. Skip this step only if step 3 found committed brand colors in existing tokens; in that case identity-preservation wins.

Read the full file on GitHub · 176 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 176 lines · 189 tokens per session scan A 2966ceb37e3f

Subscribe to this mod's changes

impeccable is a skill published in the GitHub repository qiuy-collab/AutoFlow.skill (2 stars, last pushed 22d ago), licensed MIT. It adds 189 tokens to every session and 5,660 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to impeccable, differing in 68 lines, and is treated as a copy.

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