video-frames

A video utility that uses ffmpeg, a program for processing media files, to extract still images or short clips. It can capture the first frame or a frame at a chosen time.

In plain words
What is it for?
Use it to create thumbnails, inspect what happens at a timestamp, or export a clear frame for further work.
Why use it?
It provides quick visual checks of video content without opening and reviewing the entire video.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/internlm/wildclawbench/video-frames
Any agent
npx skills add InternLM/WildClawBench --skill video-frames
Clone the repo
git clone --depth 1 https://github.com/InternLM/WildClawBench

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 215 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.00215
Opus 5 $0.00008 $0.00108
Sonnet 5 $0.00003 $0.00043
Haiku 4.5 $0.00002 $0.00021

Measured 2d ago against content hash 7e24245498ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

video-frames 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/frame.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

89% identical to video-frames — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/video-frames/SKILL.md · 30 lines

What it actually says

Video Frames (ffmpeg)

Extract a single frame from a video, or create quick thumbnails for inspection.

Quick start

First frame:

{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg

At a timestamp:

{baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg

Notes

  • Prefer --time for “what is happening around here?”.
  • Use a .jpg for quick share; use .png for crisp UI frames.
Files

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.

Changes

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.

  1. 2d ago First seen · 30 lines · 15 tokens per session scan A 7e24245498ac

Subscribe to this mod's changes

video-frames is a skill published in the GitHub repository InternLM/WildClawBench (516 stars, last pushed 16d ago), licensed MIT. It adds 15 tokens to every session and 215 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to video-frames, differing in 19 lines, and is treated as a copy.

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