A repeatable end-to-end check for an aidemo engine change, rendering a bundled example into a video and checking the output files.

Use it after engine changes or when asked to verify that the example still renders, with either a real or local mock AI service.

It catches failures across the full rendering process instead of checking only one code component.

verify — Skill for Claude Code and Codex by tandryukha: A repeatable end-to-end check for an aidemo engine change…

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/tandryukha/aidemo/verify

Any agent

npx skills add tandryukha/aidemo --skill verify

Clone the repo

git clone --depth 1 https://github.com/tandryukha/aidemo

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tandryukha/aidemo/verify.svg)](https://agentmods.dev/skills/tandryukha/aidemo/verify)

Your own site

<a href="https://agentmods.dev/skills/tandryukha/aidemo/verify"><img src="https://agentmods.dev/badge/skills/tandryukha/aidemo/verify.svg" alt="Measured on agentmods" height="20"></a>

Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,019 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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.

Model	Per session	Once invoked
Fable 5	$0.00164	$0.01019
Opus 5	$0.00082	$0.00509
Sonnet 5	$0.00033	$0.00204
Haiku 4.5	$0.00016	$0.00102

Measured 4d ago against content hash f2ecc3bbeaa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

verify scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf http://localhost:8787 >/dev/null && echo up

.claude/skills/verify/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

verify — e2e smoke test for engine changes

Your job: prove a change to the engine still renders the self-contained fixture end-to-end. Be terse; surface only failures + a final status.

Phases

Typecheck (always):
```
npm run typecheck
```

Fixture server (background; it's a plain static server on :8787):

node examples/local-demo/serve.mjs &
curl -sf http://localhost:8787 >/dev/null && echo up

Full e2e (needs OPENAI_API_KEY in .env, or OPENAI_BASE_URL pointing at a local OpenAI-compatible server — check with node bin/aidemo.mjs doctor first; it reports the resolved endpoint):
```
node bin/aidemo.mjs render examples/local-demo --headless
```
If neither is available, prefer the offline full e2e — the bundled mock serves both endpoints locally, so every stage still runs, with zero API spend (say which path you used in the report):
```
node test/mock-openai.mjs &            # mock TTS+STT on :8790
OPENAI_API_KEY= OPENAI_BASE_URL=http://127.0.0.1:8790/v1 \
  node bin/aidemo.mjs render examples/local-demo --headless
```
(Narration is sine tones and captions are placeholder words — fine for verifying the pipeline, useless for judging output quality.) Last resort: probe (selectors) + record + compose against previously generated audio//generated/ artifacts if present (captions --offline can regenerate caption cues from an existing voice.json without network).
Inspect the output — existence is not enough:
```
ffprobe -v error -show_entries format=duration -show_entries stream=codec_type \
  -of default=nw=1 examples/local-demo/output/final-demo.mp4
```
Expect one video + one audio stream and a plausible duration (the fixture is ~30–60 s). A suspiciously tiny file or missing audio stream is a failure.
Stage-scoped iteration — if the change touches one stage, re-run just it (voice, record, captions, compose, or probe for selector work) instead of a full re-render; each stage is independently re-runnable.

Read the full file on GitHub · 90 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.

4d ago First seen · 90 lines · 164 tokens per session scan A f2ecc3bbeaa6

Subscribe to this mod's changes

verify is a skill published in the GitHub repository tandryukha/aidemo (5 stars, last pushed yesterday), licensed MIT. It adds 164 tokens to every session and 1,019 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Testing ai-agents claude-code demo-video ffmpeg playwright product-demo

demo-video

Produce a polished, ScreenStudio-style 60fps product demo video of a web app with a tiny, dependency-light pipeline — Playwright frame capture + a multiprocess Pillow compositor streaming into ffmpeg (no Node/Remotion). Drives the app one step per frame so playback is true 60fps regardless of capture speed, then…

surajshetty3416/demo-video-skill · 181 tokens

motion-graphics

Build frame-exact motion graphics — animated logos, kinetic typography, brand videos, animated titles and social clips — as a single HTML file driven by a paused Web Animations timeline, then export them to MP4 in 1:1, 4:5 and 9:16. Use this whenever someone wants to animate a wordmark or logo, make a video from text…

acelera-agency/html-animation · 188 tokens

product-demo

Shoot, animate, title and optionally score product demo videos with Remotion — for a landing page, docs, onboarding, an app store listing or a social post. Use when editing anything under src/compositions/, when the user asks for a new demo clip, an intro or an animated title, asks for sound or a version for social…

Alexwtlf/agentic-product-demo · 97 tokens

record-extension-demo

Record a polished demo video of a Chrome extension with Diorama. Use when asked to create, update, or re-record an extension demo, produce Chrome Web Store assets, or turn an extension feature into a video.

daniel-ddtech/diorama · 47 tokens

creador_videos_ai

Build a 30-second cinematic marketing video for any website URL using the Causal AI Digital pipeline (Playwright iframe scroll tour + ElevenLabs voice off + whisper.cpp word-level synced subtitles + FFmpeg audio mux). Use when the user asks to generate a promotional/marketing video for a website, create a cinematic…

jnichor/creador_videos_ai · 160 tokens

session-context

Lightweight demo-vid-mcp session start prompt (tools, recall/save actions).

sandraschi/demo-vid-mcp · 20 tokens

verify