Instructions for recording terminal demos with VHS and converting the recordings into GIF images. The process uses Docker, a tool for running isolated environments, plus ffmpeg for video conversion.

Use it to run the demo build, troubleshoot recording problems, or regenerate GIFs from existing MP4 video files.

It documents the project’s recording pipeline and helps diagnose failed recordings or empty GIF files.

How babarot/gh-infra configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to babarot/gh-infra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/babarot/gh-infra/main/.claude/skills/vhs-demo/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/babarot/gh-infra

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/babarot/gh-infra/vhs-demo/github.svg)](https://agentmods.dev/skills/babarot/gh-infra/vhs-demo)

Your own site

<a href="https://agentmods.dev/skills/babarot/gh-infra/vhs-demo"><img src="https://agentmods.dev/badge/skills/babarot/gh-infra/vhs-demo/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/babarot/gh-infra/vhs-demo"><img src="https://agentmods.dev/badge/skills/babarot/gh-infra/vhs-demo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,279 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	$0.00035	$0.01279
Opus 5	$0.00017	$0.00639
Sonnet 5	$0.00007	$0.00256
Haiku 4.5	$0.00003	$0.00128

Measured 13d ago against content hash 5ab1b10c9a7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vhs-demo 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 13d 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.

.claude/skills/vhs-demo/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VHS Demo Recording

Use this skill to run, debug, or regenerate gh-infra demo GIF recordings.

When To Use

Running make demo or docs/tapes/vhs.sh directly
Diagnosing why a recording failed or produced a 0-byte GIF
Regenerating GIFs from existing MP4s without re-recording
Understanding the recording pipeline

Prerequisites

Docker must be running
Go toolchain (for cross-compiling the Linux binary)

Pipeline

make demo
  1. go build -o docs/tapes/.gh-infra  (GOOS=linux GOARCH=amd64)
  2. docs/tapes/vhs.sh
     a. docker build → gh-infra-vhs image (VHS + vim)
     b. For each *.tape in parallel:
        docker run --memory=1g --cpus=2 → produces .mp4
     c. For each .mp4 sequentially:
        docker run jrottenberg/ffmpeg:7-alpine → produces .gif
  3. Copy GIFs to docs/public/
  4. Clean up .gh-infra binary

Why MP4 → GIF Instead of Direct GIF

VHS's built-in GIF output is unreliable when multiple containers run in parallel on macOS. The workaround is to output MP4 only from VHS, then convert to GIF via ffmpeg with high-quality settings (lanczos scaling, sierra2_4a dithering, 256 colors).

Key Files

File	Role
`docs/tapes/vhs.sh`	Orchestrator: parallel recording + sequential GIF conversion
`docs/tapes/Dockerfile`	`ghcr.io/charmbracelet/vhs` + vim
`docs/tapes/*.tape`	VHS scenario files
`docs/tapes/setup*.sh`	Per-demo setup scripts (mock data, gh wrapper)
`docs/tapes/mock-gh`	Generic mock for `gh` CLI
`docs/tapes/.gh-infra`	Cross-compiled Linux binary (ephemeral)

Output Locations

Raw recordings: docs/tapes/*.mp4 and docs/tapes/*.gif
Published assets: docs/public/demo*.gif (copied by Makefile)

Environment Variables

make demo forwards DEMO_ENV variables into Docker via -e flags. Use this to pass environment overrides (e.g. GH_INFRA_OUTPUT) into the recording containers.

Resource Planning

All tapes run in parallel. Each container requests --memory and --cpus (see vhs.sh). The total resource demand is:

Read the full file on GitHub · 119 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.

13d ago First seen · 119 lines · 35 tokens per session scan A 5ab1b10c9a7e

Subscribe to this mod's changes

vhs-demo is a skill published in the GitHub repository babarot/gh-infra (134 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 1,279 once invoked, about $0.0002 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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gh-infra: Skill for Claude Code