cover-3d-eye-with-docs

cover-3d-eye-with-docs is a skill for Claude Code from imartinstudio/cover-prompt-skills. It costs 129 tokens per session (2,541 once invoked), scanned A, original, MIT.

An article-visual tool that creates a dark 3D Eye-style cover and section-linked inline visual briefs or prompts from pasted text or Markdown/plain-text files. DOCX, PDF, web pages, and remote articles are not supported.

In plain words
What is it for?
Use it to generate a template, a visual brief, image prompts, or both for an article.
Why use it?
It keeps the cover and supporting article visuals in one consistent visual style and workflow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: $skill-name invocation.

Part of the cover-3d-eye-with-docs plugin — 1 skill shipped together

Good fit Use it to generate a template, a visual brief, image prompts, or both for an article.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add imartinstudio/cover-prompt-skills --skill cover-3d-eye-with-docs
Clone the repo
git clone --depth 1 https://github.com/imartinstudio/cover-prompt-skills

Made for: Claude Code.

Or install cover-3d-eye-with-docs, the plugin that ships this one along with the rest of its 1 skill.

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 cover-3d-eye-with-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs/github.svg)](https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs)
Your own site
<a href="https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs/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.

agentmods 80×15 button for cover-3d-eye-with-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-3d-eye-with-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,541 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 original No closer match found 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 $0.00129 $0.02541
Opus 5 $0.00064 $0.01270
Sonnet 5 $0.00026 $0.00508
Haiku 4.5 $0.00013 $0.00254

Measured 12d ago against content hash 445b0b0574aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cover-3d-eye-with-docs 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 12d 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.

plugins/cover-3d-eye-with-docs/skills/cover-3d-eye-with-docs/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

3D Eye With Docs

Use this skill when one article needs both a cover and section-bound inline visuals in the 3D Eye family. This skill is self-contained. Do not route runtime work to cover-3d-eye, article-visual-planner, or any illustration skill.

Hard Boundaries

  • Accepted article sources: pasted article text, Markdown files, or plain-text files.
  • Do not claim DOCX, PDF, remote article, or web scraping support.
  • The article source remains read-only.
  • If no valid article content is available, ask for pasted text or a Markdown/plain-text path. Do not downgrade to cover-only behavior.
  • Default output is returned in the conversation. Write a file only when the user explicitly provides an output path.
  • An output path applies only to that requested path; do not overwrite or modify any other file.

Output Type

Use the explicit --out-type parameter to decide what to output.

  • --out-type template: output the invocation template only.
  • --out-type brief: output the article visual brief set only.
  • --out-type prompt: output final image prompts for every planned asset.
  • --out-type all: output the brief set first, then the prompts.
  • Omitted --out-type: default to brief.

Treat 直接生成, 出图, 生成封面和配图, and 开始生图 as direct image generation only when the user explicitly asks for images.

Template Output

For template-only mode, output exactly this structure and fill every field:

使用 $cover-3d-eye-with-docs 生成一套文章封面+正文配图方案
文章来源:{article_source}
输出类型:{out_type}
封面用途:{cover_use_case}
正文配图用途:{inline_use_case}
正文配图数量:{inline_count}
语言:{language}
封面画幅比例:{cover_ratio}
正文主画幅比例:{inline_ratio}
核心钩子:{core_hook}
已有图片处理:{image_handling}
补充背景:{context}
禁用元素:{forbidden_elements}

Required Inputs

Extract or infer:

  • Article source: required.
  • Topic / thesis: required.
  • Cover use case: X article cover, WeChat cover, blog header, tutorial cover, YouTube thumbnail, local AI poster.
  • Inline use case: install guide visual, hardware map, privacy comparison, quantization explainer, workflow strip, mistake checklist, cost comparison.
  • Inline count: this is a hard constraint. If 正文配图数量 is omitted, use 3. If it is explicitly supplied, accept only an integer from 1 to 5. Validate this before producing any template, brief, prompt, or image. An explicit 0, negative number, non-integer, or value above 5 must fail with a clear request to use an integer from 1 to 5; never clamp, round, expand, truncate, omit, or route to the base cover skill or cover-only behavior.
  • Language: Chinese, English, or mixed Chinese-English.
  • Core hook: privacy, offline, local ownership, no cloud, hardware fit, quantization, speed, cost, mistakes, workflow clarity.
  • Cover ratio and inline ratio: optional; infer from use case when omitted.
  • Extra context: optional.
  • Forbidden elements: optional.

Read the full file on GitHub · 303 lines

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. 12d ago First seen · 303 lines · 129 tokens per session scan A 445b0b0574aa

Subscribe to this mod's changes

cover-3d-eye-with-docs is a skill published in the GitHub repository imartinstudio/cover-prompt-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 2,541 once invoked, about $0.0006 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 2026-08-31.

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