A video-editing helper that cuts short clips from time ranges or selects highlights from a transcript, then changes widescreen video to a vertical format when needed.

Use it to cut specified time ranges, plan clips from speech transcripts with word timings, select highlights, and reframe 16:9 footage to 9:16.

It removes repetitive cutting and reframing work when preparing videos for short-form platforms.

clip — Skill for Claude Code by perso-ai/perso-dubbing-plugin

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/perso-ai/perso-dubbing-plugin

agentmods

npx agentmods add skills/perso-ai/perso-dubbing-plugin/clip

Made for: Claude Code.

Or install perso-dubbing, the plugin that ships this one along with the rest of its 3 skills, 1 hook.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/perso-ai/perso-dubbing-plugin/clip/github.svg)](https://agentmods.dev/skills/perso-ai/perso-dubbing-plugin/clip)

Your own site

<a href="https://agentmods.dev/skills/perso-ai/perso-dubbing-plugin/clip"><img src="https://agentmods.dev/badge/skills/perso-ai/perso-dubbing-plugin/clip/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/perso-ai/perso-dubbing-plugin/clip"><img src="https://agentmods.dev/badge/skills/perso-ai/perso-dubbing-plugin/clip.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,249 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00059	$0.01249
Opus 5.5	$0.00024	$0.00500
Sonnet 5.5	$0.00012	$0.00250
Haiku 4.5	$0.00006	$0.00125

Measured 2mo ago against content hash 82db727a24da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clip 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.

The scan reads SKILL.md. This mod also ships 2 executable files (lib/clipper.mjs, scripts/clip.mjs), 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.

skills/clip/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/clip

Cut a video into short clips + reframe. Subtitles are not this skill's job — after cutting, the srt skill styles them (see the handoff below).

Entry points

Explicit timecodes ("cut 2:00–3:00 of this video") → cut the local file directly: --video "<file>" --ranges "2:00-3:00,...". No STT, no key, no credits.
AI highlight selection on an STT project → --plan then --clips (the flow below). Needs the project's transcript + word timestamps.
Raw video, "find the good moments" (no timecodes given) → you can't pick highlights without a transcript, so ask the user which they want:
- STT (proper selection, uses credits): run the srt skill's STT first to create the project, then clip it with --plan/--clips.
- Free (no STT): the user gives the timecodes and you cut them with --video --ranges.
Proceed with their choice — don't run STT (which bills credits) without asking.

Core rules

Only the worker sees the raw key — never open, echo, or pass it as an argument.
The key gate applies only to --project/--plan/--clips. --video --ranges and --sidecars are fully offline — never run a key check/registration for them.
Run in the background — encoding takes time.
This skill shares the dubbing skill's libraries: the dubbing folder must be installed next to clip.

Flow

Phase 1 — plan. node scripts/clip.mjs --project <seq> --plan prints the summary's section map (topic guide) plus the full sentence transcript, each line as order [start-end] text.

Phase 2 — pick, then cut. Read the transcript and choose clips, each { "title": "...", "start_order": N, "end_order": M }. Rubric:

Hook first — start on a sentence that grabs attention (question, bold claim, funny/surprising line).
End where the moment resolves, not at the first complete sentence. Ride the beat to its end — the whole reaction, follow-through, and any secondary punchline. Read a few sentences past the apparent ending; keep them if still the same reaction.
Cut at the transition — end just before the energy drops or the tone shifts (excited reaction → calm narration).
Peak — favour funny / surprising / emotional / quotable moments; the high point often sits a sentence or two after the literal reveal.
Length 30–90s — the worker warns when outside; prefer the full arc over a premature cut.
Title — describes the moment; becomes the file name (01_<title>.mp4).

Read the full file on GitHub · 57 lines

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.

2mo ago First seen · 57 lines · 59 tokens per session scan A 82db727a24da

Subscribe to this mod's changes

clip is a skill published in the GitHub repository perso-ai/perso-dubbing-plugin (40 stars, last pushed 5d ago), licensed MIT. It adds 59 tokens to every session and 1,249 once invoked, about $0.0002 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.

Claude Code Creative and media ai-agent ai-dubbing codex cursor dubbing

clip next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
clipperso-ai/perso-dubbing-plugin	Skill	40	5d ago	MIT	A	59	Claude Code
x-tweet-by-conversationbrowser-act/skills	Skill	6.3k	2d ago	MIT	A	218	Claude Code, Codex
oma-scholarfirst-fluke/oh-my-agent	Skill	1.4k	2d ago	MIT	A	30	Claude Code
pkf-writingPrismer-AI/PrismerCloud	Skill	1.4k	16d ago	MIT	A	78	Claude Code, Codex
monorepo-managementwshobson/agents	Skill	42k	yesterday	MIT	C	54	Claude Code
render-3d-product-showcasegooseworks-ai/goose-skills	Skill	1.3k	11d ago	MIT	A	159	Claude Code, Codex
render-airdrop-carouselgooseworks-ai/goose-skills	Skill	1.3k	11d ago	MIT	A	207	Claude Code, Codex