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-fetch-and-summarizegit 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-fetch-and-summarize)<a href="https://agentmods.dev/skills/maystudios/claude-skills/video-fetch-and-summarize"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/video-fetch-and-summarize/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-fetch-and-summarize"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/video-fetch-and-summarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 54 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
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 | $0.00169 | $0.01155 |
| Opus 5.5 | $0.00068 | $0.00462 |
| Sonnet 5.5 | $0.00034 | $0.00231 |
| Haiku 4.5 | $0.00017 | $0.00115 |
Grade A, and why
video-fetch-and-summarize 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 2mo 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Fetch & Summarize
Downloads videos from URLs and generates a Markdown summary per video via Gemini. Fully self-contained — no other skills required.
Output Structure
<output_dir>/
<Video_Title>/
<uploader>_<id>.mp4
summary.md
Prerequisites
GEMINI_API_KEYenv var setyt-dlpandgoogle-genai— auto-installed on first run if missing- Python available as
py(Windows) orpython3
Script
scripts/fetch_and_summarize.py
Usage
# Direct URLs — default summary
py scripts/fetch_and_summarize.py "https://..." "https://..." -o ./output
# File containing URLs (TXT, Markdown, or any text file)
py scripts/fetch_and_summarize.py links.txt -o ./output
# Custom prompt (inline) — replaces default summary format
py scripts/fetch_and_summarize.py "https://..." --prompt "Extract all mentioned tools and prices"
# Custom prompt (from file) — replaces default summary format
py scripts/fetch_and_summarize.py links.txt --prompt-file my-prompt.txt
# With browser cookies (for private/login-required content)
py scripts/fetch_and_summarize.py links.txt --cookies-from-browser chrome
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. - A custom prompt completely replaces the default — it does not add to it.
Workflow
- Extract all URLs from provided arguments and/or files (regex-based, works with any text format)
- For each URL:
a. Fetch video metadata via
yt-dlp --dump-jsonto get the title for the folder name b. Download the video as best-quality MP4 into<output>/<Title>/c. Upload MP4 to the Gemini Files API, wait for ACTIVE state d. Generate Markdown summary (using custom or default prompt), delete file from Gemini storage e. Save summary as<output>/<Title>/summary.md - Skip videos where both MP4 and summary.md already exist (idempotent re-runs)
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.
- 2mo ago First seen · 127 lines · 169 tokens per session scan A 6290cdb04b70
video-fetch-and-summarize is a skill published in the GitHub repository maystudios/claude-skills (26 stars, last pushed 2mo ago), licensed MIT. It adds 169 tokens to every session and 1,155 once invoked, about $0.0007 per session on Opus 5.5. 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
timescaledb-hyperfunctions
Use this skill when writing analytical SQL over time-series data with the TimescaleDB Toolkit (timescaledbtoolkit extension) hyperfunctions: approximate percentiles, statistical summaries, time-weighted averages, counter/gauge rates, uptime/heartbeat tracking, state durations, OHLC candlesticks, approximate distinct…
postgres
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. Trigger when user asks to: Explore an existing PostgreSQL database to understand its objects and relationships Design or modify PostgreSQL tables…
cloudflare-development
Cloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.
grpc-development
Best practices for building high-performance services with gRPC and Protocol Buffers. Use when designing RPC services, defining protobuf schemas, implementing streaming APIs, setting up gRPC interceptors, or building cross-language service communication.
kafka-development
Best practices for Apache Kafka event streaming and distributed messaging. Use when building event-driven architectures, implementing producer/consumer patterns, designing topic partitioning strategies, setting up Kafka Streams, configuring schema registries, or integrating change data capture pipelines.
kysely
Guidelines for developing with Kysely, a type-safe TypeScript SQL query builder with autocompletion support.