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 maystudios/claude-skills --skill video-summarizergit clone --depth 1 https://github.com/maystudios/claude-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/maystudios/claude-skills/video-summarizer)<a href="https://agentmods.dev/skills/maystudios/claude-skills/video-summarizer"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/video-summarizer/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/maystudios/claude-skills/video-summarizer"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/video-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00107 | $0.00748 |
| Opus 5 | $0.00053 | $0.00374 |
| Sonnet 5 | $0.00021 | $0.00150 |
| Haiku 4.5 | $0.00011 | $0.00075 |
Grade A, and why
video-summarizer 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 10d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Summarizer
Analyzes MP4 files in a directory via the Gemini API and writes a .md summary file next to each video.
Prerequisites
GEMINI_API_KEYenv var must be setgoogle-genaiinstalled:py -m pip install google-genai- Python available as
py(Windows) orpython3
Workflow
1. Determine the prompt
Check if the user provided a custom prompt or specific extraction instructions.
- No custom prompt -> use the default (structured summary with Title, Summary, Key Points, Takeaways)
- User provides custom instructions -> pass them via
--promptor--prompt-file
A custom prompt completely replaces the default. Examples of custom prompts:
- "Extract all mentioned tools, their prices, and a one-line description for each"
- "List every action item and deadline mentioned in this video"
- "Create a transcript outline with timestamps"
2. Run the script
# Default summary — all videos in current directory (recursive)
py scripts/summarize_videos.py
# Default summary — specific directory
py scripts/summarize_videos.py "C:/path/to/videos"
# Custom prompt (inline) — replaces default summary format
py scripts/summarize_videos.py --prompt "Extract all product names and prices mentioned"
# Custom prompt (from file) — replaces default summary format
py scripts/summarize_videos.py --prompt-file my-prompt.txt
# Both directory and custom prompt
py scripts/summarize_videos.py "C:/path/to/videos" --prompt "List all key decisions made"
3. How Claude should handle user arguments
When the user invokes this skill:
- If the user specifies a custom prompt or extraction goal (e.g., "extract all tools mentioned",
"summarize focusing on pricing", "list action items"), pass it via
--prompt "...". - If the user provides a prompt file path, pass it via
--prompt-file path/to/file.txt. - If the user gives no specific instructions, run without
--promptto use the default format. - If the user specifies a directory, pass it as the first positional argument.
What ships with it
2 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.
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.
- 10d ago First seen · 92 lines · 107 tokens per session scan A 996d9c53b912
video-summarizer is a skill published in the GitHub repository maystudios/claude-skills (22 stars, last pushed 26d ago), licensed MIT. It adds 107 tokens to every session and 748 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.
Other skills, from other repositories
presentation-chef
Convert any content into a stunning Apple Keynote-style HTML presentation. Takes markdown, text descriptions, or structured data and generates a single self-contained .html file with cinematic animations, glassmorphism, and premium design. Inspired by ChronicleHQ.
creative-code-lab
Use when user asks to create generative art, creative coding sketches, visual experiments, particle systems, shader effects, procedural graphics, interactive canvases, or any code-as-art project. Use when building animated backgrounds, flow fields, fractals, L-systems, noise-based visuals, text effects, fluid…
icons8
Fetch icons, illustrations, and photos from Icons8. Search 1.5M+ icons across 116 styles, vector illustrations, and 500K+ stock photos. Supports API (with key) and free CDN fallback (no key needed).
local-image-gen
Generate custom images locally using Stable Diffusion. Auto-detects your hardware (Apple Silicon, NVIDIA, AMD, CPU) and picks the best model and settings. Supports single and batch modes. Cross-platform: macOS, Linux, Windows.
logo-generator
Generate custom logos with adaptive brainstorming and full brand kit export. Scans project context (README, package.json, CSS, existing assets) to inform design. Outputs favicons (16-512 + ICO), social images (OG, Twitter), dark/light/mono SVG variants, and an HTML preview.
image-fetcher
Fetch relevant, high-quality, free-to-use images from the web. Accepts a description/query, or scans the current directory for context. Sources from Unsplash, Pexels, and Pixabay APIs (if keys configured) with a zero-config WebSearch fallback.