Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/jykim/claude-obsidian-skills/markdown-video)<a href="https://agentmods.dev/skills/jykim/claude-obsidian-skills/markdown-video"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/markdown-video/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/jykim/claude-obsidian-skills/markdown-video"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/markdown-video.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 | $0.00042 | $0.02707 |
| Opus 5 | $0.00021 | $0.01354 |
| Sonnet 5 | $0.00008 | $0.00541 |
| Haiku 4.5 | $0.00004 | $0.00271 |
Grade A, and why
markdown-video 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 — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown Video Skill
Convert markdown slides to presentation video with AI-generated visuals and TTS audio narration.
When to Use This Skill
Activate this skill when the user:
- Asks to create video from markdown slides
- Requests to convert presentation to MP4 format
- Wants to generate narrated video from slides
- Needs automated slide-to-video conversion
Key Features
- Gemini AI-generated visuals: High-quality slide images with full emoji and Korean support
- OpenAI TTS narration: Natural voice from speaker notes
- Delta updates: Only regenerates changed slides (saves time and API costs)
- Multiple visual styles: technical-diagram, professional, vibrant-cartoon, watercolor
Input Requirements
- Markdown file with speaker notes marked with
^prefix - GEMINI_API_KEY environment variable for image generation
- OPENAI_API_KEY environment variable for TTS audio
Output Specifications
- MP4 video: 1920x1080 (Full HD)
- Duration: Each slide displays for duration of its audio narration
- File naming:
{input_filename}.mp4
Workflow
Step 1: Generate Audio Files
cd "{slides_directory}"
python /Users/lifidea/.claude/skills/markdown-video/generate_audio.py "{slides_filename}" --output-dir "audio"
Delta update: Only regenerates audio for slides with changed speaker notes.
- Use
--forceto regenerate all audio files
Output:
audio/slide_0.mp3,slide_1.mp3, ... (0-indexed)- Cache file:
audio/.audio_cache.json
Step 2: Generate Slide Images with Gemini
cd "{slides_directory}"
python /Users/lifidea/.claude/skills/markdown-video/create_slides_gemini.py "{slides_filename}" \
--output-dir "slides-gemini" \
--style "technical-diagram" \
--auto-approve
Delta update: Only regenerates images for slides with changed content.
- Use
--forceto regenerate all slide images
Style Options:
| Style | Description | Best For |
|---|---|---|
technical-diagram |
Clean lines, infographic icons, muted blue/gray | Technical, education |
professional |
Minimalist, geometric shapes | Corporate, formal |
vibrant-cartoon |
Bright gradients, flat design | Marketing, startups |
watercolor |
Soft pastels, organic shapes | Creative, personal |
What ships with it
10 files 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.
- create_audio_mapping.py 12 KB runs code
- create_section_video.py 11 KB runs code
- create_slides_from_markdown.py 14 KB runs code
- create_slides_gemini.py 16 KB runs code
- create_video_script.py 7.4 KB runs code
- generate_audio.py 13 KB runs code
- generate_section_images.py 10 KB runs code
- README.md 4.1 KB
- requirements.txt 317 B
- slides_to_video.py 15 KB runs code
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 · 392 lines · 42 tokens per session scan A 1d78c2d079f6
markdown-video is a skill published in the GitHub repository jykim/claude-obsidian-skills (50 stars, last pushed 19d ago), licensed MIT. It adds 42 tokens to every session and 2,707 once invoked, about $0.0002 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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