Maintainer of this skill?
Automated security scan — not a certification.
Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill
# Add to your Claude Code skills
git clone https://github.com/eternityspring/reelbench-skillsGuides for using ide extensions skills like reelbench-skills.
Last scanned: 9/12/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-09-12T08:23:46.956Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}reelbench-skills is an open-source ide extensions skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by eternityspring. Learning notes and tooling skills for AI video - AI 视频相关的学习与工具 skill. It has 881 GitHub stars.
Yes. reelbench-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/eternityspring/reelbench-skills" and add it to your Claude Code skills directory (see the Installation section above).
reelbench-skills is primarily written in JavaScript. It is open-source under eternityspring on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other IDE Extensions skills you can browse and compare side by side. Open the IDE Extensions category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh reelbench-skills against similar tools.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Claude Code / Codex skills for working with video.
| skill | what it does |
|---|---|
| video-shots | Shot breakdown: turns a finished film into a shot-by-shot table — duration, shot size, category, camera move, frame description, rhythm role. Cuts and durations are measured by ffmpeg; the model only judges what it should; 15 quality gates check every call. |
| video-sync | Composites a video with the shot data alongside it: footage on one side, the current shot's data on the other, switching at every cut with the list scrolling and highlighting itself. Landscape stacks, portrait sits side by side; the layout is one CSS file. |
| video-scrub | Strips metadata: rebuilds the film as a clean file carrying only picture and sound — GPS, device, account IDs and telemetry tracks all left behind. The hard part is the three layers ffprobe cannot see: SEI, the AAC DSE, and compressorname. Byte-for-byte picture by default, verified by 12 byte-level gates. |
I run a paid group about AI video — workflows, tools, and how this stuff actually gets done.
Interested? Message me on Telegram @ahao_dev and mention github.
git clone https://github.com/eternityspring/reelbench-skills.git
cd reelbench-skills
./scripts/install.sh
This symlinks the skills into ~/.claude/skills/ and/or ~/.codex/skills/ (whichever exists),
so git pull takes effect immediately.
./scripts/install.sh --claude # Claude Code only
./scripts/install.sh --codex # codex only
./scripts/install.sh video-shots # one skill only
./scripts/install.sh --uninstall # remove the symlinks
Requirements: node >= 18 and ffmpeg / ffprobe (macOS: brew install node ffmpeg).
No npm dependencies, no API keys — it runs on your current session.
Prefer a copy over a symlink? cp -r skills/video-shots ~/.claude/skills/ —
each skill is self-contained.
demo-report/ is the real output of running the skill on demo-video.mp4
(a 202.9-second AI-generated short film, 啥是AI): 53 shots, 3.83 s average shot length,
15.7 cuts per minute, all 15 gates green. demo-report-en/ is the same pipeline run on a
287.4-second English excerpt with --lang en — an entirely English report: 46 shots, 6.25 s
average, and one 46.92 s take that scene detection never cut, because it genuinely never cuts.
The report is a single interactive page: an embedded player (playback highlights the current shot, click a shot to jump), a pace strip, a shot list you can search, filter and sort (list or card view, first and last keyframe side by side, click a frame to enlarge), distributions, cast, and the quality gates. No external dependencies — double-click it offline.
demo-report/
├── shots-report.html ← clone and double-click
├── shots.json ← the breakdown data for all 53 shots
├── shots.md ← Markdown shot list
├── track.json ← frame-difference motion curve (the machine's evidence)
└── frames/ ← first and last keyframe of every shot, 106 files
demo-scrub/ is what video-scrub produces — four pieces of text and no video, because its
output looks exactly like the source, which is the whole point. What is worth reading is the
reconciliation, above all half.txt: the textbook recipe leaves ffprobe
looking spotless while the bitstream still carries x264's encoder-settings SEI in 4 places and the
AAC DSE in 8 — no ffprobe command shows either of them.
What video-sync produces is at the bottom of this page — as a video, not a screenshot.
A 287.4-second English excerpt with its 46-shot breakdown, 1280×1296 (the source is 640×360,
blown up with --scale 2). The panel switches with every cut; the list scrolls up and the
highlight rides along:
If the player does not load, grab the file: demo-sync/demo-en-sync.mp4