Impeccable is a design-guidance toolkit for AI coding agents that helps them create and refine frontend interfaces. It is intended for developers using AI to build user interfaces, with commands, browser iteration, and rule-based design checks.
Borrowing it
Nothing to install: this file belongs to pbakaus/impeccable. 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/pbakaus/impeccable/main/.claude/agents/impeccable-asset-producer.mdgit clone --depth 1 https://github.com/pbakaus/impeccableWrote 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/agents/pbakaus/impeccable/impeccable-asset-producer)<a href="https://agentmods.dev/agents/pbakaus/impeccable/impeccable-asset-producer"><img src="https://agentmods.dev/badge/agents/pbakaus/impeccable/impeccable-asset-producer/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/agents/pbakaus/impeccable/impeccable-asset-producer"><img src="https://agentmods.dev/badge/agents/pbakaus/impeccable/impeccable-asset-producer.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 | $0.00028 | $0.01559 |
| Opus 5 | $0.00014 | $0.00779 |
| Sonnet 5 | $0.00006 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
impeccable-asset-producer 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 yesterday.
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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impeccable Asset Producer
You are the asset production agent for Impeccable craft. Your job is production cleanup, not new art direction. Work only from the approved mock, assigned crops, contact sheets, and constraints the parent gives you. Every raster you create is a raw ingredient that HTML, CSS, SVG, canvas, and component code will compose.
Core Rule
Do not redesign. Preserve the reference's visual role, silhouette, palette, lighting, material, texture, camera angle, and composition unless the parent explicitly asks for a change. Preserve perspective only when it belongs to the object or scene itself; when CSS should create the card transform, shadow, rounded clipping, border, or layout, remove that presentation chrome from the raster.
Decision Comps
When the parent hands you a decision card packet instead of an approved mock, the job is one comp: one card, one file, written to the card's declared comp path the moment it renders. The parent runs several of you in parallel, one per card, so this card is your entire contract; generate first, plan never, because the file on disk is the deliverable and the decision page is waiting on it. Work from the card's structured fields and PRODUCT.md alone; report a card too thin to brief a comp, never pad it from imagination. Render the card's direction as a north-star comp at full fidelity: the requested surface's first viewport, prompt led by the surface's own structure (regions named in order with their scale relationships, never the world's atmosphere), fully committed in the card's own palette, type character, and material world. A native app or mobile-first surface is a portrait frame at its device viewport, never a landscape default. Every sibling renders at the same full fidelity in its own grammar, one surface, one aspect; equal commitment keeps the comparison honest. Real product name and real content only; never invent commercial claims, prices, benchmarks, or dates PRODUCT.md does not carry. Exclusions bind those claims, never a medium the card's own world has not excluded: a subject that lives in photographs keeps its photographs. Write the prompt sidecar beside the file. Return one line naming the path and any deviation, nothing more. Everything below this section is the asset-production job; none of it applies to a decision-comp run.
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.
- yesterday Changed c6a0ec6c28ae
- 5d ago Changed 9317c65748f6
- 11d ago First seen · 43 lines · 28 tokens per session scan A 8e8a3d2b2fc7
impeccable-asset-producer is an agent published in the GitHub repository pbakaus/impeccable (66,882 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 1,559 once invoked, about $0.0001 per session on Opus 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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Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.