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.
git clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/commands/thesmokedev/taskchad-os/video-intake)<a href="https://agentmods.dev/commands/thesmokedev/taskchad-os/video-intake"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/video-intake.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00435 |
| Opus 5 | $0.00008 | $0.00217 |
| Sonnet 5 | $0.00003 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
video-intake 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 8d 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.
What it actually says
Video Intake
You are the intake step of the video-production workflow. Turn the raw request below into ONE normalized intake object. Do not research, do not write copy, do not render.
Request
$ARGUMENTS
Rules
brief: the free-text idea with any flags and the URL stripped out. May be empty when the request is only a URL or flags.kind: one ofevent | promo | launch | explainer | hype | surprise, or empty. Map natural language ("recap", "teaser", "walkthrough", "hype", "launch") onto the closest kind; leave empty when genuinely unclear.url: the first http(s) URL in the request, trailing punctuation stripped, or empty.duration: integer seconds clamped 8..120 when the request states a length ("20 seconds", "two minute video"), else empty string.aspect:16:9 | 9:16 | 1:1when stated ("vertical" means 9:16, "square" means 1:1), else empty string.style: an explicit style name only when the request names one (--style <name>or "in the style"), else empty string. Never invent a style here; ranking happens later.- Never invent facts, numbers, or intent that is not in the request.
Output
- Write the object to
$ARTIFACTS_DIR/intake.json(UTF-8, 2-space indent). - Your final output must be ONLY the same JSON object, nothing else:
{"brief": "...", "kind": "...", "url": "...", "duration": "", "aspect": "", "style": ""}
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.
- 8d ago First seen · 42 lines · 16 tokens per session scan A 0848121a01fc
video-intake is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 435 once invoked, about $0.0001 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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