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-black-white-minimalgit 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-black-white-minimal)<a href="https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-black-white-minimal"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-black-white-minimal/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-black-white-minimal"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-black-white-minimal.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 | $0.00105 | $0.02510 |
| Opus 5.5 | $0.00042 | $0.01004 |
| Sonnet 5.5 | $0.00021 | $0.00502 |
| Haiku 4.5 | $0.00011 | $0.00251 |
Grade A, and why
cover-black-white-minimal 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 2mo 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Black White Minimal 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 look like a high-end portfolio cover, modern editorial poster, Swiss-inspired typography work, or gallery-grade conceptual cover.
If generating the image directly, keep all semantic analysis internal and output only the generated image result. If the user sets --out-type prompt, output only the final image prompt. If the user sets --out-type template or omits --out-type, output only the template described in "Template Output" and do not output a generic image prompt.
Output Type
Use the explicit --out-type parameter to decide what to output. Read --out-type only as a control parameter, not as part of the user's topic or subtitle.
--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.
Backward compatibility:
- Treat
模版,模板,整理成格式,标准格式,调用格式, and使用格式as--out-type template. - Treat explicit output requests such as
输出提示词,生成提示词,完整提示词,生图提示词,直接给 prompt,只要提示词,只要 prompt, andimage promptas--out-type prompt. - Treat
模版和提示词,模板和 prompt,模版+提示词,两个都要,都输出,先给模版再给提示词, and既要标准格式也要完整 promptas--out-type all.
Do not infer prompt mode from field values. For example, 主题:提示词 means the topic is "提示词"; it does not by itself mean --out-type prompt.
If --out-type has any value other than template, prompt, or all, ask the user to choose one of those three values.
Template Output
For template-only mode, output exactly this structure and fill every field:
使用 $cover-black-white-minimal 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}
情绪倾向:{mood}
禁用元素:{forbidden_elements}
Required Inputs
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.
- 2mo ago First seen · 194 lines · 105 tokens per session scan A 2c322d5c4d38
cover-black-white-minimal is a skill published in the GitHub repository imartinstudio/cover-prompt-skills (10 stars, last pushed 3mo ago), licensed MIT. It adds 105 tokens to every session and 2,510 once invoked, about $0.0004 per session on Opus 5.5. 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.
cover-black-white-minimal compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cover-black-white-minimalimartinstudio/cover-prompt-skills | Skill | 10 | 3mo ago | MIT | A | 105 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |