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 DeepKolor/deepkolor-agent-skills --skill poster-agentgit clone --depth 1 https://github.com/DeepKolor/deepkolor-agent-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/deepkolor/deepkolor-agent-skills/poster-agent)<a href="https://agentmods.dev/skills/deepkolor/deepkolor-agent-skills/poster-agent"><img src="https://agentmods.dev/badge/skills/deepkolor/deepkolor-agent-skills/poster-agent/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/deepkolor/deepkolor-agent-skills/poster-agent"><img src="https://agentmods.dev/badge/skills/deepkolor/deepkolor-agent-skills/poster-agent.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 | $0.00101 | $0.00502 |
| Opus 5 | $0.00051 | $0.00251 |
| Sonnet 5 | $0.00020 | $0.00100 |
| Haiku 4.5 | $0.00010 | $0.00050 |
Grade A, and why
poster-agent 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 8d 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.
What it actually says
Poster Agent
Lite edition — routing and core rules for agent discovery. Full prompt templates, platform playbooks, and production workflows run on DeepKolor.
Posters, covers, and event visuals with strong hierarchy and platform-appropriate typography.
When to use
See description in frontmatter — the agent loads it at startup for routing.
Workflow
- Clarify format (movie one-sheet, event, editorial, social) and viewing context.
- Reserve copy-safe areas; treat fine print as texture or omit.
- Use image-to-image when a person, layout, or style reference must be preserved.
- Generate one result unless the user requests variants.
Defaults
resolution=1K; ratio by format (3:4 print, 9:16 social)
Tool: create_image_task
{
prompt: string,
scene: "text-to-image" | "image-to-image",
aspectRatio?: string,
imageUrls?: string[],
resolution?: "1K"
}
Available when your agent runtime exposes DeepKolor generation tools. Otherwise use this skill as a prompt-engineering guide and adapt tool names to your stack.
Boundaries
- Not for paid ad banners or ecommerce product shots.
- Do not invent names, dates, prices, awards, or legal marks without marking as proposed.
Output
After generation, reply briefly: what was created, key parameters, and one useful next step. Return a full prompt only when the user explicitly asks.
Full version
Production-grade references (SOPs, templates, platform rules) ship inside DeepKolor — not in this public lite package.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 58 lines · 101 tokens per session scan A 41cf7db51209
poster-agent is a skill published in the GitHub repository DeepKolor/deepkolor-agent-skills (2 stars, last pushed 20d ago), licensed MIT. It adds 101 tokens to every session and 502 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.
Other skills, from other repositories
gc-muted-zine-poster-v0-1
Generate Muted Zine Poster v0.1 poetic paper-poster prompts and the matching generated image. Use when the user gives a theme, sentence, object, mood, article idea, photo, or content brief and wants a quiet Japanese/Korean zine-like editorial poster with large negative space, aged paper texture, experimental…
character-design
A design aid for creating and revising characters used in AI-generated images or video.
wes-anderson-perspective
A visual storytelling framework based on Wes Anderson’s style, including symmetry, staged scenes, dry humour, strong colour palettes, and miniature-like compositions.
genhasamu-perspective
A creative design framework based on Kenya Hara's minimalist approach. It helps an agent examine visual ideas through simplicity, everyday objects, materials, and the use of empty space.
helmut-lang-perspective
A visual-design framework based on Helmut Lang’s minimalist fashion. It focuses on structure, technical materials, precise details, architecture, and the idea that design can be expressive without being obvious.
kawakubo-perspective
A fashion and visual-design framework based on Rei Kawakubo and Comme des Garçons. It examines deconstruction, unusual shapes, black clothing, unfinished forms, and questions about the relationship between the body and clothing.