video-vision

video-vision is a command for Claude Code from TheSmokeDev/taskchad-os. It costs 25 tokens per session (636 once invoked), scanned A, original, MIT.

A command for creating the planning document for a video before production begins. The document defines the video's angle, sequence of beats, and proposed visual treatment for human approval.

In plain words
What is it for?
Use it to draft a video concept, outline its scenes or beats, decide how imagery should be used, and prepare the approval step.
Why use it?
It gives the production team a reviewable plan before anything is assembled or rendered, while keeping claims tied to the available source material.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to draft a video concept, outline its scenes or beats, decide how imagery should be used, and prepare the approval step.

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Install with agentmods
npx agentmods add commands/thesmokedev/taskchad-os/video-vision
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.

Clone the repo
git clone --depth 1 https://github.com/TheSmokeDev/taskchad-os

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.

agentmods badge for video-vision

README.md
[![agentmods](https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/video-vision.svg)](https://agentmods.dev/commands/thesmokedev/taskchad-os/video-vision)
Your own site
<a href="https://agentmods.dev/commands/thesmokedev/taskchad-os/video-vision"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/video-vision.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 636 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.00636
Opus 5 $0.00013 $0.00318
Sonnet 5 $0.00005 $0.00127
Haiku 4.5 $0.00003 $0.00064

Measured 8d ago against content hash 19ad237d8b7a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

video-vision 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.

.archon/commands/video-vision.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Vision

You are the vision step of the video-production workflow. Produce the production plan a human approves BEFORE anything is composed or rendered. Use the SAME engine the native pipeline uses (generate_vision in video_pipeline.py) so the gate artifact matches pipeline behavior exactly: schema clamps, the claim gate over angle + summaries, one retry, then a deterministic fallback. Never invent numbers; photos imagery is only proposed when the dossier carries visuals.

Run

From the repo root:

cd .claude/scripts
uv run python -c '
import json, os, pathlib
art = pathlib.Path(os.environ["ARTIFACTS_DIR"])
intake = json.loads((art / "intake.json").read_text(encoding="utf-8"))
dossier = None
p = art / "dossier.json"
if p.is_file():
    dossier = json.loads(p.read_text(encoding="utf-8"))
import video_pipeline
brief = (intake.get("brief") or "").strip()
if not brief and dossier:
    title = str(dossier.get("title") or "").strip()
    brief = f"a video about {title}" if title else ""
if not brief:
    brief = (intake.get("url") or "a short brand video").strip()
vision = video_pipeline.generate_vision(
    brief,
    kind=(intake.get("kind") or None),
    dossier=dossier,
    style=(intake.get("style") or None),
    duration_s=(int(intake["duration"]) if str(intake.get("duration") or "").strip() else None),
    aspect=(intake.get("aspect") or None),
)
(art / "vision.json").write_text(json.dumps(vision, indent=2), encoding="utf-8")
print(json.dumps(vision, indent=2))
'

The call contract (do not deviate): generate_vision(brief, *, kind, dossier, style, voice_label, duration_s, aspect, feedback, prior_vision) returns {ok, angle, beats: [{kind, summary}], imagery: {treatment, note}, duration_s, aspect, style, voice, provider, notes} and never raises.

Redo round (when the gate rejected a prior vision): pass the operator's rejection feedback as feedback="..." and the previous vision dict as prior_vision=json.loads((art / "vision.json").read_text(...)) so the engine produces a DIFFERENT take instead of repeating itself. Overwrite vision.json with the new result.

Read the full file on GitHub · 66 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.

  1. 8d ago First seen · 66 lines · 25 tokens per session scan A 19ad237d8b7a

Subscribe to this mod's changes

video-vision is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 636 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.