net-new-video-editor

net-new-video-editor is a skill for Codex from ericosiu/ai-marketing-skills. It costs 96 tokens per session (919 once invoked), scanned A, original, MIT.

A workflow for turning newly recorded talking-head footage into review-ready vertical video drafts. It uses an explicit edit plan, FFmpeg rendering, captions, hook cards, audio normalization, and visual checks.

In plain words
What is it for?
Use it for Instagram Reels, TikTok videos, YouTube Shorts, LinkedIn videos, founder recordings, and projects with multiple takes.
Why use it?
It gives a repeatable way to make a first edit while keeping the original recordings safe and creative decisions separate from rendering steps.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 telemetry/version_check.py 2>/dev/null || true.

Good fit Use it for Instagram Reels, TikTok videos, YouTube Shorts, LinkedIn videos, founder recordings, and projects with multiple takes.

Compare 6 skills from other repositories ↓
About the project

AI Marketing Skills is a collection of open-source workflows that help AI coding agents handle marketing and sales work, including growth experiments, pipeline management, content operations, outbound outreach, SEO, and finance analysis. It is intended for marketing and sales teams that want reusable agent-driven processes. The catalogue entries package these workflows as skills for compatible coding agents.

ericosiu/ai-marketing-skills · 3,784 stars · on GitHub · singlegrain.com

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/ericosiu/ai-marketing-skills
agentmods
npx agentmods add skills/ericosiu/ai-marketing-skills/net-new-video-editor

Made for: Codex.

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.

agentmods badge for net-new-video-editor

README.md
[![agentmods](https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/net-new-video-editor/github.svg)](https://agentmods.dev/skills/ericosiu/ai-marketing-skills/net-new-video-editor)
Your own site
<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/net-new-video-editor"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/net-new-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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/net-new-video-editor"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/net-new-video-editor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.00919
Opus 5.5 $0.00038 $0.00368
Sonnet 5.5 $0.00019 $0.00184
Haiku 4.5 $0.00010 $0.00092

Measured 2mo ago against content hash 87d82d1daae5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

net-new-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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/net_new_video_editor.py), 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.

net-new-video-editor/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Net-New Video Editor

Create a reversible first edit from fresh recordings. Keep creative decisions in JSON and pixel operations in the bundled renderer.

Preamble

Run from the repository root when the optional shared telemetry helpers are present:

python3 telemetry/version_check.py 2>/dev/null || true
python3 telemetry/telemetry_init.py 2>/dev/null || true

Remote telemetry is opt-in and never includes content, file paths, repository names, or credentials.

Establish the package

Read references/project-contract.md. Locate the exact source recordings, transcript, idea card or brief, proof assets, and screen recordings. Never substitute another recording, brand, account, or asset library.

Initialize a new project only when the destination is clear:

python3 scripts/net_new_video_editor.py init --project <project-dir>

Copy or point only user-authorized inputs into the generated package. Preserve originals.

Inspect before editing

Run:

python3 scripts/net_new_video_editor.py inspect --project <project-dir>

Review intake-report.json. Stop when the package has no playable take, the requested target does not match the supplied footage, or required external assets are missing.

Build the edit plan

Use the transcript and brief to create edit-plan-clean.json. Treat the spoken hook and claim boundaries as ground truth.

  • Select one source take explicitly.
  • Keep segment order intentional and timestamps within the source duration.
  • Remove clear false starts, long dead space, and isolated filler only when the cut remains natural.
  • Preserve breaths that help meaning.
  • Put the hook on screen for at most five seconds.
  • Use captions in short readable phrases.
  • Add proof or screen inserts only when supplied and relevant. The bundled renderer handles the base assembly; add complex overlays in a separate, documented pass.
  • Normalize speech without clipping.

For a second version, copy the plan to edit-plan-aggressive.json and make only named retention edits. Do not silently change factual claims.

Read the full file on GitHub · 99 lines

Files

What ships with it

4 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. 2mo ago First seen · 99 lines · 96 tokens per session scan A 87d82d1daae5

Subscribe to this mod's changes

net-new-video-editor is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,784 stars, last pushed 5d ago), licensed MIT. It adds 96 tokens to every session and 919 once invoked, about $0.0004 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.

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