Agent skill

Paper Signal Audit

by jiahuiqu17 in jiahuiqu17/paper-signal

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…

MITAuto-check passedMedia & Creative

Install Paper Signal Audit

skills CLI
$ npx skills add jiahuiqu17/paper-signal --skill paper-signal-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jiahuiqu17/paper-signal paper-signal-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jiahuiqu17/paper-signal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paper-signal-audit .claude/skills/paper-signal-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
paper-signal-audit
GitHub stars
109
Token cost
~859 tokens
SKILL.md length
374 words
Files
2
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 4 steps: references/subject-routing.md → references/visual-language.md → references/quality-contract.md → …
  • The user asks whether an image has高级感
  • SKILL.md covers Load the audit basis, Audit workflow, Report format and Anti-AI diagnosis, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paper Signal Audit is an agent skill from jiahuiqu17/paper-signal. 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…

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Media & Creative, covering Social media graphics. The repository describes itself as: Subject-aware minimal-zine image production for Agent Skills: art direction, generation, series, evidence, and real-bitmap QA. The licence is MIT.

When your agent uses it

  • The user asks whether an image has高级感
  • Feels AI-generated
  • Matches Paper Signal
  • Gc-minimal-zine quality

Example prompts

  • “/paper-signal-audit”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 7567ff0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Paper Signal Audit loads about 859 tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~143
When it runs · the whole SKILL.md, loaded when a task matches
~859

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jiahuiqu17/paper-signal at commit 7567ff0, republished under its MIT licence (© jiahuiqu17). 374 words, ~859 tokens.

Download SKILL.mdSave it as .claude/skills/paper-signal-audit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
paper-signal-audit
description
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.

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.

Show full SKILL.md (134 more words)Show less

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.

© jiahuiqu17, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/paper-signal-audit of jiahuiqu17/paper-signal.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 7567ff0

Compare with similar skills

Paper Signal Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Paper Signal Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paper Signal Audit this skilljiahuiqu17/paper-signal109—~859Automated safety check: PassMIT
Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill135k1 repos~3.5kAutomated safety check: PassMIT
Slack GIF Creatoranthropics/skills180k29 repos~2kAutomated safety check: PassApache-2.0
Guizang Social Cardsop7418/guizang-social-card-skill7.4k1 repos~7.8kAutomated safety check: PassAGPL-3.0
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone
Ccfddl X Postsccfddl/ccf-deadlines9.4k—~5.6kAutomated safety check: PassMIT

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More from jiahuiqu17/paper-signal

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  • Paper Signal Art Director

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  • Paper Signal Series

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Questions about Paper Signal Audit

What does Paper Signal Audit do?

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…. Paper Signal Audit is an agent skill from jiahuiqu17/paper-signal. 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.

When should I use Paper Signal Audit?

Paper Signal Audit fits situations like: the user asks whether an image has高级感; feels AI-generated; matches Paper Signal; gc-minimal-zine quality.

How do I install Paper Signal Audit in Claude Code?

Run `npx skills add jiahuiqu17/paper-signal --skill paper-signal-audit -a claude-code`. Or copy the skill folder (skills/paper-signal-audit in jiahuiqu17/paper-signal) into .claude/skills/paper-signal-audit in your project. Claude Code loads it when a task matches its description.

How do I install Paper Signal Audit in Codex?

Run `npx skills add jiahuiqu17/paper-signal --skill paper-signal-audit -a codex`. Or copy the skill folder (skills/paper-signal-audit in jiahuiqu17/paper-signal) into .agents/skills/paper-signal-audit in your project. Codex loads it when a task matches its description.

Can I use Paper Signal Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jiahuiqu17/paper-signal --skill paper-signal-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-signal-audit, .gemini/skills/paper-signal-audit, .github/skills/paper-signal-audit and .opencode/skills/paper-signal-audit in your project.

What does Paper Signal Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Paper Signal Audit is instructions for the agent only.

Does Paper Signal Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Paper Signal Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Paper Signal Audit use?

Paper Signal Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Signal Audit use?

About 859 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Paper Signal Audit?

Skills that share tags, products or a category with Paper Signal Audit: Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Slack GIF Creator (anthropics/skills, 180k stars), Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars) and Video Cover Image (itwanger/toBeBetterJavaer, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Signal Audit?

jiahuiqu17 (a GitHub user) maintains it in jiahuiqu17/paper-signal, which has 109 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 12, 2026.

Source: jiahuiqu17/paper-signal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.