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 oyi77/1ai-skills --skill video-strategy-orchestratorgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/video-strategy-orchestrator)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/video-strategy-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/video-strategy-orchestrator/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/oyi77/1ai-skills/video-strategy-orchestrator"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/video-strategy-orchestrator.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 | $0.00096 | $0.02347 |
| Opus 5.5 | $0.00038 | $0.00939 |
| Sonnet 5.5 | $0.00019 | $0.00469 |
| Haiku 4.5 | $0.00010 | $0.00235 |
Grade A, and why
video-strategy-orchestrator 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 1mo 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill orchestrates video strategy across the whole catalog — choosing which videos to make, in which format, for which audience, on which cadence. Use it when video production needs a plan before it needs a pipeline. It turns business goals into a video roadmap with measurable targets.
Video Strategy Orchestrator
Decides when to use Remotion, HyperFrames, AI video generation, or a hybrid. Evaluates input, complexity, determinism needs, and output format to pick the right engine.
When to Use
- User asks "which video tool should I use?"
- User wants to build a video pipeline and needs to choose the engine
- User has a video task and the tool is unspecified
- User wants to combine multiple video tools in one pipeline
- You're starting a video task in 1ai-content and need to decide the approach
When NOT to Use
- User explicitly names a tool (e.g., "use Remotion")
- User wants a specific HyperFrames workflow (use
video-production-orchestrator) - Task is clearly FFmpeg-only (format conversion, compression)
Workflow
1 · Identify input type
What is the source material?
- Existing React component → lean Remotion
- Product URL or brief → lean HyperFrames
- Text/article/topic → lean HyperFrames
- Text/image prompt → lean AI Video
- Existing footage → lean HyperFrames (talking-head-recut)
2 · Assess determinism need
- High (pixel-exact, branded, template-based) → Remotion or HyperFrames
- Low (creative, varied, experimental) → AI Video
3 · Evaluate complexity
- Complex logic/conditionals → Remotion
- Medium (DOM + CSS) → HyperFrames
- Simple (prompt only) → AI Video
4 · Check for hybrid opportunity
Can combining engines produce a better result?
- AI generates content + HyperFrames adds timing → HYBRID
- Remotion template + HyperFrames overlays → HYBRID
5 · Route and justify
State the chosen engine(s) and why (one sentence).
The Three Engines
1. Remotion (React-Based Rendering)
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.
- 1mo ago First seen · 274 lines · 96 tokens per session scan A c89450c11a7e
video-strategy-orchestrator is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 2,347 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-10.
video-strategy-orchestrator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| video-strategy-orchestratoroyi77/1ai-skills | Skill | 17 | yesterday | MIT | A | 96 | Claude Code |
| video-hyperframeslinyeping/Metis | Skill | 6 | 2mo ago | none | A | 18 | Claude Code, Codex |
| video-hyperframesnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 18 | Claude Code, Codex |
| video-hyperframesnexu-io/html-anything | Skill | 9.4k | 24d ago | Apache-2.0 | A | 22 | Claude Code, Codex |
| douyin-coverbozhouDev/video-skills-toolkit | Skill | 159 | 3mo ago | MIT | A | 374 | Codex |
| musicbozhouDev/video-skills-toolkit | Skill | 159 | 3mo ago | MIT | A | 76 | Claude Code, Codex |
| viral-video-benchmarkbozhouDev/video-skills-toolkit | Skill | 159 | 3mo ago | MIT | A | 194 | Codex |