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 Jaycheng1103/chatgpt-video-editing-skills --skill chatgpt-short-video-editorgit clone --depth 1 https://github.com/Jaycheng1103/chatgpt-video-editing-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/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor)<a href="https://agentmods.dev/skills/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor"><img src="https://agentmods.dev/badge/skills/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor/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/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor"><img src="https://agentmods.dev/badge/skills/jaycheng1103/chatgpt-video-editing-skills/chatgpt-short-video-editor.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 | $0.00081 | $0.00670 |
| Opus 5 | $0.00041 | $0.00335 |
| Sonnet 5 | $0.00016 | $0.00134 |
| Haiku 4.5 | $0.00008 | $0.00067 |
Grade A, and why
chatgpt-short-video-editor 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 12d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT Short-video Editor
Create a safe, evidence-backed vertical short from user-provided media. This Skill starts only when a source file or clear source location is available.
Boundary and prerequisites
- Inspect the source with
ffprobe; never overwrite, move, rename, or delete it. Put every new artifact beside the source in<source-directory>/edit/. - Check that the installed
video-useworkflow,FFmpeg,ffprobe, and ElevenLabs Scribe v2 are available for the documented full-precision path. Do not install, clone, update, or repair anything silently. If a dependency is missing, hand off tochatgpt-video-editing-setupand state what must be verified first. - Before the first upload of a source file to ElevenLabs, name the file, say it is for ElevenLabs Scribe v2 transcription, mention possible quota or cost, and wait for explicit consent. Do not upload before that consent.
- Read the eight-step workflow, then the production rules, before editing.
Required sequence
Follow these eight steps exactly: 素材檢查、逐字轉寫、內容整理、剪輯決策、逐段粗剪、轉色／圖卡／字幕、混音與完整預覽、QA 與正式定稿.
After the first three steps, propose a 4–8 sentence, plain-language editing strategy and wait for approval. Until approval, do not choose edit points or add B-roll, animations, music, effects, CTA, or a publishing schedule. Treat these as opt-in creative decisions, not defaults.
Use word-level verbatim timestamps, cached per unchanged source. Never cut inside a word. Keep 30–200ms padding around cut edges, work per segment, and use output-timeline subtitle timing. Subtitles are the last visual operation.
Render a complete 720p preview first. Inspect the rendered preview, not only the source; make no more than three evidence-based self-fix passes. After the preview is approved, render the 1080×1920 final and verify that final file before delivery. Never say a transcript, preview, QA pass, or final is complete without the corresponding verified output.
What ships with it
3 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.
- 12d ago First seen · 53 lines · 81 tokens per session scan A 7bfaff3b63df
chatgpt-short-video-editor is a skill published in the GitHub repository Jaycheng1103/chatgpt-video-editing-skills (530 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 670 once invoked, about $0.0004 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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