df-app-walkthrough

df-app-walkthrough is a skill for Claude Code from OneDro1d/dark-factory. It costs 152 tokens per session (3,103 once invoked), scanned A, original, Apache-2.0.

A process that creates a finished narrated and captioned video tour of a web application. It uses a browser, generated voice narration, visible cursor actions, and video tools to produce an MP4 file locally.

In plain words
What is it for?
Use it to turn a written demo script into a walkthrough of a public or authenticated web app. The result can show the app’s workflow and can later be converted back into text requirements.
Why use it?
It records a product demonstration without requiring a person to speak, click, edit, or upload the application to a recording service. This is useful when the app cannot be shared with a third party.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT variable.

Runs only inside a plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else, and the catalogue could not identify which plugin ships it.

Good fit Use it to turn a written demo script into a walkthrough of a public or authenticated web app. The result can show the app’s workflow and can later be converted back into text requirements.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code.

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 df-app-walkthrough

README.md
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Your own site
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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.

agentmods 80×15 button for df-app-walkthrough

Your own site · 80×15
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Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,103 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00152 $0.03103
Opus 5 $0.00076 $0.01551
Sonnet 5 $0.00030 $0.00621
Haiku 4.5 $0.00015 $0.00310

Measured 9d ago against content hash fd55ce0d66c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

df-app-walkthrough 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 9d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/assemble.mjs, scripts/build-narration.mjs, scripts/check-prereqs.sh, …), 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/df-app-walkthrough/SKILL.md · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dark Factory — Autonomous App Walkthrough

Overview

Produces a finished walkthrough video of a running web application without a person speaking, clicking, or editing. Everything runs locally: a neural text-to-speech voice, a headless browser, and ffmpeg. No recording SaaS, no upload, no API key — which is what makes it usable on software you are not allowed to screen-share to a third party.

Four stages, each a script:

narration.json ──▶ build-narration ──▶ audio/*.wav + timing.json
                                              │
                                              ▼
                        record-walkthrough ──▶ raw .webm + recorded-timeline.json
                                              │
                                              ▼
                               assemble ──▶ walkthrough.mp4   ──▶ verify

This is a producer skill. Its natural upstream is a written demo script; its natural downstream is df-video-intake (which turns a video back into text) — the two are inverses and are useful in sequence when a recorded walkthrough must become requirements.

When to use

  • "Record a walkthrough / demo / product tour of this app."
  • A written demo script exists and someone has to perform it, repeatedly, on every release.
  • A UI needs a narrated artefact for people who will never be given access to it.
  • Regression-by-eye: re-record on each release and compare.

When not to use

  • You need a person's own voice and improvisation — record that yourself.
  • The thing being demonstrated is non-deterministic and slow (a long generation job). Narrate it over a card instead; see Cards below.

The load-bearing idea: audio first, video paced to audio

You cannot know how long a sentence takes until it has been spoken. So the narration is synthesized and measured before the browser opens, and the recorder holds each frame until that line has finished.

The recorder then emits the offset each step actually landed at, and assembly places audio and captions at those measured offsets rather than the planned ones. A step that runs long becomes a slightly longer pause instead of desynchronising everything after it.

Read the full file on GitHub · 294 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. 9d ago First seen · 294 lines · 152 tokens per session scan A fd55ce0d66c9

Subscribe to this mod's changes

df-app-walkthrough is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed today), licensed Apache-2.0. It adds 152 tokens to every session and 3,103 once invoked, about $0.0008 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 2026-09-01.

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