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.
npx skills add imartinstudio/cover-prompt-skills --skill cover-3d-eyegit clone --depth 1 https://github.com/imartinstudio/cover-prompt-skillsWrote 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/skills/imartinstudio/cover-prompt-skills/cover-3d-eye)<a href="https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-3d-eye"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-3d-eye/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/skills/imartinstudio/cover-prompt-skills/cover-3d-eye"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-3d-eye.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 | $0.00100 | $0.01683 |
| Opus 5 | $0.00050 | $0.00842 |
| Sonnet 5 | $0.00020 | $0.00337 |
| Haiku 4.5 | $0.00010 | $0.00168 |
Grade A, and why
cover-3d-eye 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
3D Eye Cover
Use this skill to create a finished image prompt, or call an image generation tool directly when the user asks to generate the final cover. The result should feel like a premium dark-mode tutorial poster for running local AI: bold, private, terminal-native, slightly rebellious, and easy to understand at social-feed speed.
This is the visual style member of the 3d-eye family. Use it directly for covers/posters. When the same tutorial also needs step-by-step diagrams, hardware maps, privacy comparisons, or quantization explainers, route planning through the matching available with-docs sibling for this style if it exists.
Output Type
Use the explicit --out-type parameter to decide what to output.
--out-type template: output the invocation template only.--out-type prompt: output the final image prompt only.--out-type all: output the template first, then the final image prompt.- Omitted
--out-type: default totemplate.
Treat 直接生成, 生成海报, 生成封面, 出图, and 生成图片 as direct image generation when an image tool is available.
Template Output
For template-only mode, output exactly this structure and fill every field:
使用 $cover-3d-eye 生成一张封面
主题词:{topic}
副标题:{subtitle}
画幅比例:{ratio}
语言:{language}
用途:{use_case}
核心钩子:{hook}
视觉主体:{hero_subject}
补充背景:{context}
禁用元素:{forbidden_elements}
Required Inputs
Extract or infer:
- Topic / main title: required.
- Subtitle: optional.
- Aspect ratio: optional; infer from use case when omitted.
- Language: Chinese, English, or mixed Chinese-English.
- Use case: X cover, WeChat cover, blog header, tutorial cover, YouTube thumbnail, product education poster, knowledge card.
- Core hook: privacy, uncensored, offline, local ownership, hardware fit, quantization, speed, cost, safety mode off, no cloud, no account, no logs.
- Hero subject: terminal window, lock, hardware card, local-vs-cloud split, workflow strip, 3D Eye mascot, torn censorship tape, model file, API endpoint.
- Extra context: optional.
- Forbidden elements: optional; combine with style defaults.
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.
- 12d ago First seen · 143 lines · 100 tokens per session scan A e37b7b585b48
cover-3d-eye is a skill published in the GitHub repository imartinstudio/cover-prompt-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,683 once invoked, about $0.0005 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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