Borrowing it
Nothing to install: this file belongs to jleechanorg/agent-orchestrator-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jleechanorg/agent-orchestrator-ts/main/.claude/skills/video-render/SKILL.mdgit clone --depth 1 https://github.com/jleechanorg/agent-orchestrator-tsWrote 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/jleechanorg/agent-orchestrator-ts/video-render)<a href="https://agentmods.dev/skills/jleechanorg/agent-orchestrator-ts/video-render"><img src="https://agentmods.dev/badge/skills/jleechanorg/agent-orchestrator-ts/video-render/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/jleechanorg/agent-orchestrator-ts/video-render"><img src="https://agentmods.dev/badge/skills/jleechanorg/agent-orchestrator-ts/video-render.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 | $0.00000 | $0.00799 |
| Opus 5.5 | $0.00000 | $0.00320 |
| Sonnet 5.5 | $0.00000 | $0.00160 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
video-render scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Render Skill — AO Novel MP4 Pipeline
Renders novel/the-daily-lives-of-workers.md as an animated MP4 using Remotion, then uploads to Google Drive.
Prerequisites
# Authenticated already (check with):
gog auth list
# Should show [email protected] with drive scope
# Remotion deps installed:
cd remotion && npm install
One-liner
bash scripts/render-novel-video.sh
What it does
- Parse
novel/the-daily-lives-of-workers.md— extracts title, date, scene headings, and prose paragraphs - Generate
remotion/src/Root.tsx— a parameterized template with the same 7-scene structure as the reference (Title → Spawn → Designation → Six Conditions → Rate Limits → 3AM → Collaboration → Coda), substituting actual prose from the novel - Render —
cd remotion && npm run build→out/daily-lives-of-workers.mp4 - Upload —
gog drive upload out/daily-lives-of-workers.mp4 --name "daily-lives-$(date +%Y-%m-%d).mp4" - Output — Drive share URL printed to stdout
Scene structure (matches reference video)
| Sequence | Duration | Visual style |
|---|---|---|
| 0 — Title Card | 3s | Centered title + date |
| 1 — Spawn | 7s | Monospace text, line-by-line fade |
| 2 — Designation | 8s | Split: text left + launchd daemon SVG right |
| 3 — Six Conditions | 10s | Flying condition pills (CI · Mergeable · CR · Bugbot · Comments · Evidence) |
| 4 — Rate Limits | 7s | Animated rate limit bar + counter |
| 5 — 3AM | 8s | Star field + centered text |
| 6 — Collaboration | 7s | Worker network diagram + message log |
| 7 — Coda | 5s | Fading serif text |
Total: ~55 seconds
Color palette
BG=#0d1117 TEXT=#e6edf3 ACCENT=#58a6ff DIM=#8b949e
GREEN=#3fb950 YELLOW=#d29922 RED=#f85149
Parameters from novel markdown
The script extracts:
- title: first
# Headingin the file - date:
YYYY-MM-DDparsed from filename or first paragraph - scene N text: prose paragraphs, one per scene (up to 7 scenes, excess goes to Coda)
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.
- 9d ago First seen · 83 lines · 0 tokens per session scan A ace6f9a28ddd
video-render is a skill published in the GitHub repository jleechanorg/agent-orchestrator-ts (8 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 799 tokens. 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 2026-10-02.
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