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paper-signal-audit

Inspect and diagnose minimal-zine posters, photo restyles, editorial images, and social-card series for subject preservation, factual and text integrity, composition, paper realism, print-process coherence, color signal, anti-AI craft, platform fit, and series continuity. Use when the user asks whether an image has高级感, feels AI-generated, matches Paper Signal or gc-minimal-zine quality, needs improvement, or should be regenerated. Returns evidence-based findings and a targeted correction prompt; regenerates only when the user also asks for a fix.

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SKILL.md(原文)

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Paper Signal Audit

Judge the image that exists, not the prompt that intended it.

Load the audit basis

Read from ../paper-signal/:

  1. references/subject-routing.md
  2. references/visual-language.md
  3. references/quality-contract.md
  4. references/restyle-contract.md for edits

Read the project prompt, manifest, preservation record, outline, and evidence ledger when available.

Audit workflow

  1. Inspect every local image with view_image at original detail.
  2. Identify the delivery route, subject route, and intended composition mode from artifacts; infer them explicitly when artifacts are missing.
  3. Compare the raster against protected subject details, exact text, factual claims, and requested aspect ratio.
  4. Inspect at full size for identity, geometry, paper, image integration, type, print defects, and AI artifacts.
  5. Inspect at thumbnail size for subject recognition, chromatic signal, hierarchy, and series recognition.
  6. For a series, compare the whole sequence for material continuity, composition variety, pacing, and cloned-layout drift.
  7. Rank findings by severity and give one correction path per failed image.

Report format

Lead with the verdict:

  • Pass — ready to use
  • Pass with refinements — usable; small craft changes would improve it
  • Regenerate — one or more blocking failures

Then report only observed issues:

SeverityImageObservationWhy it mattersTargeted correction

Separate:

  • blocking: subject drift, false/wrong text, wrong ratio, unreadable essential content, missing output
  • major: generic template composition, weak subject scale, incoherent print process, pseudo-language, muddy hierarchy
  • minor: slightly weak signal, texture repetition, edge or safe-zone refinement

Do not praise or criticise with unsupported adjectives. Point to visible evidence.

Anti-AI diagnosis

Check specifically for:

  • meaningless microtext or faux Asian characters
  • generic birds, moons, stairs, doors, flowers, and registration marks unrelated to content
  • uniformly applied vintage noise
  • beige template plus clean modern typography
  • perfect vector spacing under fake paper texture
  • waxy faces, altered identity, impossible hands, warped buildings, or invented product details
  • random collage fragments with no visual thesis
  • empty space that creates no direction or tension

Correction policy

Correct one failure class per regeneration. Preserve accepted subject features, text, material choices, and crop. Save the correction prompt and output as versioned siblings.

When the user asks only for review or diagnosis, stop after the report and correction prompt. Generate or edit the image only when the user explicitly asks to fix, remake, or produce it.

Never patch generated text or composition with code.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Plan, art-direct, generate, edit, and quality-check tactile minimal-zine bitmap imagery from almost any subject: landscapes, portraits, objects, products, architecture, interiors, existing photographs, moods, article ideas, cultural essays, data, reviews, and social-media card series. Use for 小红书图片, Instagram carousels, poetic posters, editorial covers, photo restyling, visual essays, evidence-aware explainers, or any request for aged paper, photocopy, risograph, letterpress, sparse type, and restrained single-ink character. Routes the subject before choosing composition, preserves identity and factual content when editing, saves reproducible prompts, invokes the runtime-native image generator, and audits the real raster output. Do not use for glossy commercial ads, deterministic UI/vector assets, or exact diagram rendering.

日本語の概要は準備中です。原文の説明を表示しています。

jiahuiqu17/paper-signal1092026年8月12日 更新

Art-direct and generate one high-craft minimal-zine bitmap from a landscape, portrait, person, object, product, food, plant, building, interior, photograph, mood, sentence, or article concept. Use when the user wants a standalone poetic poster, editorial cover, visual concept, aesthetic photo upgrade, photo-to-zine restyle, or a subject-aware minimal-zine image without the overhead of a social carousel. Chooses adaptive composition and a physically coherent print process, preserves subject identity, saves the final prompt, invokes the runtime-native image generator, and audits the raster result.

日本語の概要は準備中です。原文の説明を表示しています。

jiahuiqu17/paper-signal1092026年8月12日 更新

Plan, write, art-direct, generate, and package a coherent 2-10 image minimal-zine social series from notes, articles, photographs, travel stories, products, reviews, cultural topics, data, PDFs, or mixed subjects. Use for Xiaohongshu/小红书图片, Instagram carousels, social visual essays, recommendation posts, photo diaries, evidence-backed explainers, or any multi-image editorial sequence. Produces analysis, card roles, subject-aware composition, saved prompts, real raster images, natural caption copy, evidence provenance when needed, and series-level QA.

日本語の概要は準備中です。原文の説明を表示しています。

jiahuiqu17/paper-signal1092026年8月12日 更新

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