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 TIKAZI/TIKAZ-AI-Skills --skill video-workbenchgit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-SkillsWrote 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/tikazi/tikaz-ai-skills/video-workbench)<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/video-workbench"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/video-workbench/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/tikazi/tikaz-ai-skills/video-workbench"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/video-workbench.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 | $0.00051 | $0.00347 |
| Opus 5 | $0.00026 | $0.00173 |
| Sonnet 5 | $0.00010 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
video-workbench 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 12d 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 Workbench
This TIKAZ Edition is designed, integrated, independently refactored, and continuously maintained by TIKAZ. Treat it as a reusable media-application engineering workflow, not a dependency of video-platform-reader.
Inputs and workflow
Accept a media application repository, the requested user flow or pipeline change, representative media fixtures, deployment target, and acceptance criteria. Read repository instructions and map ingestion, queued/running/failed/completed job states, processing stages, review, export, storage, and retry behavior before editing.
Implement in small slices. Keep frontend state and backend job state consistent, preserve media provenance, and verify at least one representative job plus desktop/mobile states when a UI is involved.
Output contract
Return the changed pipeline or interface, state transition map, representative job evidence, failure and retry behavior, test/build results, deployment notes, and remaining media-format risks.
Validation and fallback
If codecs, accelerators, cloud storage, or deployment credentials are unavailable, use declared fixtures or mocks and state what remains unverified. Do not claim export compatibility without inspecting the resulting artifact.
Example and limits
Use video-workbench to add retryable export jobs to this media app, keep UI and worker states aligned, and verify one representative file end to end.
This Skill engineers applications; it does not acquire unauthorized media, bypass DRM, or replace evidence-based content analysis.
What ships with it
1 file 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.
- 12d ago First seen · 31 lines · 51 tokens per session scan A 3979aff7c9d8
video-workbench is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 9d ago), licensed MIT. It adds 51 tokens to every session and 347 once invoked, about $0.0003 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 2026-08-31.
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