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-fix)<a href="https://agentmods.dev/commands/thesmokedev/taskchad-os/video-fix"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/video-fix.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 | $0.00022 | $0.00420 |
| Opus 5 | $0.00011 | $0.00210 |
| Sonnet 5 | $0.00004 | $0.00084 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
video-fix 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 Fix (One Round)
You are one fix round of the video-production workflow. Revision etiquette is strict: apply the flagged fixes, change NOTHING else, re-render once.
Input
QA issues: $ARGUMENTS
When empty, use the most recent QA verdict available in context.
Rules
- Work through the issues IN ORDER by their numbers. For each one, make the
smallest change in
$ARTIFACTS_DIR/composition/that resolves it (fix_hintis the starting point, not a constraint). - Touch only what an issue names. No drive-by refactors, no new scenes, no palette adjustments that were not flagged, no copy rewrites beyond the flagged text.
- Pre-hide discipline applies to every fix: a new or moved element that
reveals after t=0 needs its
tl.set(el, {autoAlpha: 0}, 0)at the top of the timeline. - Keep determinism: no Math.random, no Date.now, no requestAnimationFrame, no setTimeout, no network fetches.
- After the edits:
npx hyperframes lintandnpx hyperframes validateinside the composition dir must pass clean, then re-render the MP4 and re-extract the per-scene first-frame stills into$ARTIFACTS_DIR/stills/(overwrite) using$ARTIFACTS_DIR/scenes.jsonfor the scene start times.
Output
A numbered list mirroring the input issues: what was changed for each, plus the lint/validate result and the re-rendered MP4 path. If an issue could not be fixed without violating rule 2, say so explicitly instead of improvising.
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 · 40 lines · 22 tokens per session scan A 1ae71ae2a932
video-fix is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 420 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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