Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pamelafox/presentation-skillsnpx agentmods add skills/pamelafox/presentation-skills/generate-writeupWrote 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/pamelafox/presentation-skills/generate-writeup)<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/generate-writeup"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/generate-writeup.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.02082 |
| Opus 5 | $0.00035 | $0.01041 |
| Sonnet 5 | $0.00014 | $0.00416 |
| Haiku 4.5 | $0.00007 | $0.00208 |
Grade A, and why
generate-writeup 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 7d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate annotated write-up from a presentation
You are generating a blog-style write-up from a presentation. The user will provide a presentation folder path (e.g., presentations/my-talk). That folder must contain a presentation.md file.
presentation.md format
# Talk title
- **Date:** 2026-01-15
- **Video:** https://www.youtube.com/watch?v=VIDEO_ID
- **Slides:** slides.pdf
- **Transcript:** transcript.txt
## Notes
Extra notes here
Required fields: Video and Slides. All others are optional. Slides can be a local PDF path, PDF URL, PPTX URL, OneDrive link, or RevealJS URL. Video can be a YouTube URL or local MP4 path.
Pipeline
Follow these steps in order. Cache all intermediate outputs in <presentation_folder>/outputs/ so subsequent runs skip completed steps.
Step 1: Resolve slides
- If Slides in presentation.md is a URL, fetch and convert to PDF:
This producesuv run .agents/skills/fetch-slides/fetch_slides.py <url> <presentation_folder>/outputsslides.pdf(andslides_content.mdfor RevealJS URLs). - If slides is a local file path (relative to the presentation folder), use it directly.
- Skip if
<presentation_folder>/outputs/slides.pdfalready exists.
Step 2: Convert slides to images
Split the PDF into individual PNGs:
uv run .agents/skills/convert-slides-to-images/convert_slides_to_images.py <pdf_path> <presentation_folder>/outputs/slide_images
Skip if <presentation_folder>/outputs/slide_images/ already contains slide_*.png files.
Step 3: Extract transcript
- If Transcript is specified in presentation.md, read from that path (relative to presentation folder).
- If
<presentation_folder>/outputs/transcript.txtexists, use the cached version. - Otherwise, extract from YouTube:
uv run .agents/skills/extract-transcript/extract_transcript.py <youtube_url> <presentation_folder>/outputs/transcript.txt
Step 4: Generate video chapters
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.
- 7d ago First seen · 216 lines · 70 tokens per session scan A 352cee8a28f6
generate-writeup is a skill published in the GitHub repository pamelafox/presentation-skills (117 stars, last pushed 4d ago), licensed MIT. It adds 70 tokens to every session and 2,082 once invoked, about $0.0003 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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