Skill Compose is an open-source platform for building and running AI agents that use modular skills. It is intended for creating skill-powered agents without workflow graphs or a command-line interface, and the catalogue skills are examples of those agent capabilities.
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 dp-archive/archive --skill markdown-to-storyboardgit clone --depth 1 https://github.com/dp-archive/archiveWrote 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/dp-archive/archive/markdown-to-storyboard)<a href="https://agentmods.dev/skills/dp-archive/archive/markdown-to-storyboard"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/markdown-to-storyboard/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/dp-archive/archive/markdown-to-storyboard"><img src="https://agentmods.dev/badge/skills/dp-archive/archive/markdown-to-storyboard.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 | $0.00097 | $0.01087 |
| Opus 5 | $0.00048 | $0.00544 |
| Sonnet 5 | $0.00019 | $0.00217 |
| Haiku 4.5 | $0.00010 | $0.00109 |
Grade A, and why
markdown-to-storyboard 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 11d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown to Storyboard
Convert any markdown text into a structured storyboard CSV — the universal handoff format for downstream tools (slide builders, video editors, image generators).
Workflow
1. Analyze the Source Markdown
Read the markdown and identify:
- Title and subtitle
- Section headings (H2/H3) → natural slide boundaries
- Key arguments / data points / quotes per section
- Narrative arc: setup → development → climax → conclusion
2. Ask User Preferences
Prompt for (defaults in parentheses):
- Slide count (auto: 8–15 based on content length, ~1 slide per 150–300 words)
- Audience (general)
- Tone (professional)
- Language (same as source)
If user declines to specify, use defaults and proceed.
3. Assign Slide Types and Layouts
Available slide_type values:
| Type | Purpose | Typical layout |
|---|---|---|
cover |
Opening slide | full_bg |
toc |
Table of contents (optional, 12+ slides) | center_text |
section |
Chapter divider | center_text |
content |
Core information | left_img_right_text or top_img_bottom_text |
quote |
Key quote or statistic | full_bg |
data |
Chart / number-driven | two_column |
summary |
Closing recap | center_text or left_img_right_text |
end |
Thank-you / Q&A / CTA | full_bg |
Available layout values:
full_bg, left_img_right_text, top_img_bottom_text, center_text, two_column
4. Write the Image Prompt for Each Slide
For each slide, write an image_prompt (English, regardless of content language) that:
- Describes a concrete scene, not an abstract concept
- Includes a style keyword consistent across all slides (e.g. "flat vector illustration, soft pastel palette")
- Specifies composition hints matching the layout (e.g. "wide shot, negative space on the right" for
left_img_right_text) - Cover and end slides get more dramatic / visually impactful prompts
5. Draft Speaker Notes
speaker_notes column: 1–3 sentences of what the presenter would say. Leave empty if not requested.
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.
- 11d ago First seen · 116 lines · 97 tokens per session scan A 8053be48c538
markdown-to-storyboard is a skill published in the GitHub repository dp-archive/archive (1,107 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 97 tokens to every session and 1,087 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 2026-08-30.
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