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.
npx skills add DGatoM/DG-Claw --skill video-animadogit clone --depth 1 https://github.com/DGatoM/DG-ClawWrote 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.
[](https://agentmods.dev/skills/dgatom/dg-claw/video-animado)<a href="https://agentmods.dev/skills/dgatom/dg-claw/video-animado"><img src="https://agentmods.dev/badge/skills/dgatom/dg-claw/video-animado/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.
<a href="https://agentmods.dev/skills/dgatom/dg-claw/video-animado"><img src="https://agentmods.dev/badge/skills/dgatom/dg-claw/video-animado.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00134 | $0.01489 |
| Opus 5.5 | $0.00054 | $0.00596 |
| Sonnet 5.5 | $0.00027 | $0.00298 |
| Haiku 4.5 | $0.00013 | $0.00149 |
Grade B, and why
video-animado scanned grade B 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 19d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| "o Chromium do Playwright não está nesta caixa" | `sudo -E /opt/venv/bin/python -m playwright install --with-deps chromium` | How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vídeo animado (MP4 curto, renderizado na caixa)
Você escreve UMA página HTML cuja animação depende só do tempo t. O script scripts/renderizar.py
abre a página no Chromium, chama __render(t) quadro a quadro, e o ffmpeg monta o MP4
(H.264, 30 fps). Um vídeo de 5 s leva cerca de 20 segundos para renderizar.
Passo a passo
- Planeje antes de codar. Escreva no chat, em poucas linhas: formato, duração, cenas com tempos e o texto de cada uma. Exemplo para 5 s: cena 1 (0 a 1,8 s) gancho, cena 2 (1,8 a 3,6 s) ideia, cena 3 (3,6 a 5 s) fecho. Formato padrão: vertical 1080x1920. Horizontal: 1920x1080. Quadrado: 1080x1080.
- Copie o template e adapte:
cp ~/.claude/skills/video-animado/templates/composicao-base.html ./video.htmlTroque textos, cores e a função__render(t). Não mexa no motor (easings,tween,pose). Se mudar o formato, ajuste juntos o CSS dehtml, body, #palcoewindow.__tamanho. - Renderize:
/opt/venv/bin/python ~/.claude/skills/video-animado/scripts/renderizar.py video.html video.mp4(opções:--fps 30,--largura N --altura N). Mostra o progresso a cada 30 quadros e, no fim, caminho, duração e tamanho, conferindo a duração com o ffprobe. - Confira com os olhos. Extraia 3 quadros e olhe cada um com a ferramenta de leitura de imagem:
Procure texto cortado, fora da margem segura, sobreposto ou pequeno demais. Se achar, corrija e renderize de novo.for s in 0.5 2.5 4.5; do ffmpeg -y -loglevel error -ss $s -i video.mp4 -frames:v 1 q$s.png; done - Entregue o MP4 ao aluno (anexo ou caminho do arquivo, como o canal permitir) e diga em uma linha o que tem em cada cena.
O contrato da página
window.__duracao = 5;(segundos) ewindow.__tamanho = [1080, 1920];window.__render = function (t) { ... }desenha o estado EXATO do instantet, sempre do zero, sem depender do quadro anterior.- Proibido:
requestAnimationFrame,setTimeout,setInterval, CSSanimationrodando sozinha, vídeo ou GIF embutido, imagens da internet. Tudo é calculado det. - Helpers do template:
tween(t, inicio, fim, de, para, 'saida')devolve o valor interpolado;pose(id, {x, y, escala, rot, op, w, h, raio})aplica o estado do elemento. Easings:suave,saida,entrada,volta,elastico,linear. - Alternativa avançada: WAAPI com
animation.pause()eanimation.currentTime = t * 1000. - Fontes: use só as da caixa (
DejaVu Sans,Liberation Sans,Arial). Fonte da internet não carrega.
What ships with it
2 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.
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.
- 19d ago First seen · 76 lines · 134 tokens per session scan B 895925a0561b
video-animado is a skill published in the GitHub repository DGatoM/DG-Claw (20 stars, last pushed 2d ago), licensed MIT. It adds 134 tokens to every session and 1,489 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-18.
video-animado compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-animadoDGatoM/DG-Claw | Skill | 20 | 2d ago | MIT | B | 134 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |