auto-media-maker

auto-media-maker is a skill for Claude Code, Codex from mr-tbot/Auto-Everything. It costs 78 tokens per session (3,191 once invoked), scanned A, original, MIT.

A workflow for creating and maintaining product videos such as onboarding guides, tutorials, walkthroughs, launch clips, social cutdowns, and release-note videos. It also tracks whether code changes have made those videos outdated.

In plain words
What is it for?
Use it to connect a project to its separate video-production pipeline, create video entries, and check which videos need review after product changes.
Why use it?
It helps prevent customers from following instructions that no longer match the product, which can lead to support requests or refunds.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/mr-tbot/auto-everything/auto-media-maker
Any agent
npx skills add mr-tbot/Auto-Everything --skill auto-media-maker
Clone the repo
git clone --depth 1 https://github.com/mr-tbot/Auto-Everything

Made for: Claude Code, 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 auto-media-maker

README.md
[![agentmods](https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-media-maker.svg)](https://agentmods.dev/skills/mr-tbot/auto-everything/auto-media-maker)
Your own site
<a href="https://agentmods.dev/skills/mr-tbot/auto-everything/auto-media-maker"><img src="https://agentmods.dev/badge/skills/mr-tbot/auto-everything/auto-media-maker.svg" alt="Measured on agentmods" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,191 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00078 $0.03191
Opus 5 $0.00039 $0.01596
Sonnet 5 $0.00016 $0.00638
Haiku 4.5 $0.00008 $0.00319

Measured 2d ago against content hash 96f4bf6485e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

auto-media-maker 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.

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/auto-media-maker/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/auto-media-maker

Build and maintain a project's video series — and keep track of which videos the code has since outrun.

The standing law: a project's video series is part of its surface area. When the product changes, the videos that teach it are stale until proven otherwise. A stale tutorial is not cosmetic — someone follows it, it does not match, and that becomes a support ticket or a refund.

The hard part is not making video. It is that six weeks later the login screen moved, the tutorial still shows the old one, and nobody notices until a customer follows it.

The Family

Three skills, one pipeline. This skill owns the shared foundation — the pipeline, the interview, the brand folder, the never_say list, the catalog, the watch/on_change tracking, blessing and versioning — and every video except two. /auto-media-onboarding owns the first-run onboarding video. /auto-media-stinger owns the main stinger commercial. They read the state this skill writes and never fork it. If either runs first in a project, it bootstraps only the part of Steps 1–2 it needs, writes it here, and reports the series as unplanned — so a later run of this skill finds the state and does not re-interview.

Step 1 — Find Or Establish The Pipeline

Ask for the media pipeline repo on first run — the repo holding credentials, project configs and video state, kept separate from the product repo so keys never live beside code. Persist its path in .agent/media.json (gitignored) so later runs skip this.

If a pipeline exists, read its conventions and drive its CLI — do not build a parallel one. A mature pipeline typically provides:

Command Purpose
doctor tools + credentials present
init <slug> --repo PATH register a project
add-video <proj> <slug> --kind … scaffold script, memory, build
status / check / plan inventory, what the code outran, the work order
render / build / bless narration, assemble, mark "matches the code as of now"

Read the full file on GitHub · 229 lines

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 Changed · +28 lines 96f4bf6485e0
  2. 6d ago First seen · 201 lines · 78 tokens per session scan A dc76480a384b

Subscribe to this mod's changes

auto-media-maker is a skill published in the GitHub repository mr-tbot/Auto-Everything (7 stars, last pushed 4d ago), licensed MIT. It adds 78 tokens to every session and 3,191 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 2026-08-31.

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