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-cream-orange-knowledge-postergit 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-cream-orange-knowledge-poster)<a href="https://agentmods.dev/skills/imartinstudio/cover-prompt-skills/cover-cream-orange-knowledge-poster"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-cream-orange-knowledge-poster/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-cream-orange-knowledge-poster"><img src="https://agentmods.dev/badge/skills/imartinstudio/cover-prompt-skills/cover-cream-orange-knowledge-poster.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 | $0.00111 | $0.01613 |
| Opus 5.5 | $0.00044 | $0.00645 |
| Sonnet 5.5 | $0.00022 | $0.00323 |
| Haiku 4.5 | $0.00011 | $0.00161 |
Grade A, and why
cover-cream-orange-knowledge-poster 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cream Orange Knowledge Poster Cover
Use this skill to create a cover/poster prompt, or generate the final image when the user explicitly asks for direct image generation. The result should feel like a premium editorial technical infographic: warm paper, strong headline, clear system logic, hand-drawn diagram energy, and enough detail to reward close reading.
This is the visual style member of the cream-orange-knowledge family. Use it directly for covers/posters. When the user wants a coordinated article package, 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-cream-orange-knowledge-poster 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}
信息结构:{information_structure}
核心视觉隐喻:{visual_metaphor}
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.
- Language: Chinese, English, or mixed Chinese-English.
- Use case: X article cover, WeChat cover, blog header, tutorial cover, technical infographic, knowledge poster, PPT title visual.
- Information structure: stage progression, before/after comparison, system architecture, feedback loop, maturity ladder, decision framework, bounded vs unbounded contrast.
- Visual metaphor: loop, ladder, control room, architecture stack, map, flywheel, pipeline, dashboard, board diagram, or infer from topic.
- 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.
- 2mo ago First seen · 147 lines · 111 tokens per session scan A 202b563ea28e
cover-cream-orange-knowledge-poster is a skill published in the GitHub repository imartinstudio/cover-prompt-skills (10 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 1,613 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-cream-orange-knowledge-poster compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cover-cream-orange-knowledge-posterimartinstudio/cover-prompt-skills | Skill | 10 | 3mo ago | MIT | A | 111 | 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 |