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video-to-4k

Upscales a single low-resolution video to 4K with Video2X (Real-ESRGAN), then encodes to unified 3840×2160 H.265 Main10 40Mbps + AAC 320kbps MP4. Source frame r

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Preis unbestätigt★ 143 GitHub-StarsVerzeichnis aktualisiert · 9. Okt. 2026agent-skill

Übersicht

Upscales a single low-resolution video to 4K with Video2X (Real-ESRGAN), then encodes to unified 3840×2160 H.265 Main10 40Mbps + AAC 320kbps MP4. Source frame rate is preserved (no fps=60 duplication, no RIFE). Already-4K sources skip Video2X and go straight to FFmpeg. Use when the user wants video-to-4k, 4K upscale, UHD export, Video2X, Real-ESRGAN, H.265 Main10, or convert an SD/HD clip to 4K.

Vollständige Dokumentation lesen

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Video to 4K

Convert a supported video to a unified 4K master:

Spec	Value
Resolution	3840×2160
Frame rate	Source fps kept (no `fps=` filter, no RIFE)
Video	H.265 Main10 (`libx265`, `yuv420p10le`)
Video bitrate	40 Mbps
Audio	AAC 320 kbps
Container	MP4 (`.mp4`, `hvc1` tag)

Pipeline

Probe with ffprobe (width, height, fps, audio).
Already 4K? (width ≥ 3840 and height ≥ 2160) → skip Video2X.
Below 4K → Video2X Real-ESRGAN upscale (scale 2 or 4) to intermediate under video-to-4k/upscaled/.
Always FFmpeg final encode → video-to-4k/ at the unified specs above.

Rules

When this skill applies, read and follow skill-dependency-manager — run scripts as documented, install missing tools into .dependency/.

Run convert.py through .dependency/python/python. Never use host python / ffmpeg / video2x.
Never overwrite sources. Outputs go under video-to-4k/ (final) and video-to-4k/upscaled/ (Video2X intermediate).
Use the bundled script — do not hand-write equivalent video2x / ffmpeg commands.
One file per run — pass --video with a single file; repeat for each clip in a batch.

Setup (first run)

FFmpeg + Python

Populate ffmpeg and python under .dependency/ per skill-dependency-manager.

Video2X (CLI)

Download the CLI release (not the Qt6 installer) from video2x releases and extract to .dependency/video2x/:

Platform	Release asset
Windows	`video2x-windows-amd64.zip` → `video2x.exe`
Linux	`Video2X-x86_64.AppImage` (or distro package) → register as `bin`

"video2x": {
  "populated": true,
  "bin": ".dependency/video2x/video2x.exe"
}

Use video2x (no .exe) or the AppImage path on Unix. Requires a Vulkan GPU and AVX2 CPU. Docs: Command Line.

Quick Start

.dependency/python/python .ai/video-to-4k/convert.py --video path/to/clip.mp4

Example:

assets/video/clip.mp4
  → assets/video/video-to-4k/upscaled/clip.mkv   (Video2X, only if below 4K)
  → assets/video/video-to-4k/clip.mp4            (final master)

Already-4K source → only video-to-4k/clip.mp4 (FFmpeg only).

Anime / cartoon content (Real-ESRGAN anime model):

.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 --anime

Defaults

Setting	Default	Notes
Upscaler	Real-ESRGAN `realesrgan-plus`	General / live-action
`--anime`	`realesr-animevideov3`	Anime / illustration
Scale	Auto 2 or 4	Smallest factor that meets or exceeds 4K
Intermediate	High-bitrate HEVC MKV in `video-to-4k/upscaled/`	Kept for re-encode; delete manually or `--clean-upscaled`
Final	Always re-encode	Even if source already matches specs

Common Flags

--video · -o / --output · --anime · --gpu · --clean-upscaled

.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 --gpu 0 --clean-upscaled
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 -o out/clip.mp4

Never overwrite source files. Input must be a single video file (--video), not a directory. Supported inputs: .mp4, .mkv, .mov, .avi, .webm, .wmv, .flv, .m4v, .mpeg, .mpg, .ts, .mts, .m2ts, .3gp, .ogv.

Agent Notes

Use the bundled script only.
Missing Python / FFmpeg / Video2X → populate .dependency/, set populated: true, retry the same command.
Tell the user where video-to-4k/ (and video-to-4k/upscaled/ if used) outputs are; they swap assets manually.
Default model is general (realesrgan-plus). Pass --anime for anime/cartoon.
Do not force fps. Keep the source frame rate. Need 60fps interpolation → video-to-60fps first (RIFE at source resolution).
Pipeline / FFmpeg / Video2X details: reference.md

Tests

From repo root:

.dependency/python/python .ai/video-to-4k/test_convert.py

Manual CLI examples: cli/video-to-4k.md

Quelle ansehen ↗

Dateimetadaten

name: video-to-4k
description: >-
  Upscales a single low-resolution video to 4K with Video2X (Real-ESRGAN), then
  encodes to unified 3840×2160 H.265 Main10 40Mbps + AAC 320kbps MP4. Source frame
  rate is preserved (no fps=60 duplication, no RIFE). Already-4K sources skip
  Video2X and go straight to FFmpeg. Use when the user wants video-to-4k, 4K
  upscale, UHD export, Video2X, Real-ESRGAN, H.265 Main10, or convert an SD/HD
  clip to 4K.

Originaltext anzeigen

---
name: video-to-4k
description: >-
  Upscales a single low-resolution video to 4K with Video2X (Real-ESRGAN), then
  encodes to unified 3840×2160 H.265 Main10 40Mbps + AAC 320kbps MP4. Source frame
  rate is preserved (no fps=60 duplication, no RIFE). Already-4K sources skip
  Video2X and go straight to FFmpeg. Use when the user wants video-to-4k, 4K
  upscale, UHD export, Video2X, Real-ESRGAN, H.265 Main10, or convert an SD/HD
  clip to 4K.
---

# Video to 4K

Convert a supported video to a **unified 4K master**:

| Spec | Value |
|------|-------|
| Resolution | 3840×2160 |
| Frame rate | **Source fps kept** (no `fps=` filter, no RIFE) |
| Video | H.265 Main10 (`libx265`, `yuv420p10le`) |
| Video bitrate | 40 Mbps |
| Audio | AAC 320 kbps |
| Container | MP4 (`.mp4`, `hvc1` tag) |

## Pipeline

1. **Probe** with ffprobe (width, height, fps, audio).
2. **Already 4K?** (`width ≥ 3840` and `height ≥ 2160`) → skip Video2X.
3. **Below 4K** → [Video2X](https://github.com/k4yt3x/video2x) Real-ESRGAN upscale (scale 2 or 4) to intermediate under `video-to-4k/upscaled/`.
4. **Always** FFmpeg final encode → `video-to-4k/` at the unified specs above.

## Rules

When this skill applies, read and follow [skill-dependency-manager](../skill-dependency-manager.md) — run scripts as documented, install missing tools into `.dependency/`.

- Run `convert.py` through **`.dependency/python/python`**. Never use host `python` / `ffmpeg` / `video2x`.
- **Never overwrite sources.** Outputs go under `video-to-4k/` (final) and `video-to-4k/upscaled/` (Video2X intermediate).
- Use the bundled script — do not hand-write equivalent `video2x` / `ffmpeg` commands.
- **One file per run** — pass `--video` with a single file; repeat for each clip in a batch.

## Setup (first run)

### FFmpeg + Python

Populate `ffmpeg` and `python` under `.dependency/` per skill-dependency-manager.

### Video2X (CLI)

Download the **CLI** release (not the Qt6 installer) from [video2x releases](https://github.com/k4yt3x/video2x/releases/latest) and extract to `.dependency/video2x/`:

| Platform | Release asset |
|----------|---------------|
| Windows | `video2x-windows-amd64.zip` → `video2x.exe` |
| Linux | `Video2X-x86_64.AppImage` (or distro package) → register as `bin` |

Register in `.dependency/manifest.json`:

```json
"video2x": {
  "populated": true,
  "bin": ".dependency/video2x/video2x.exe"
}
```

Use `video2x` (no `.exe`) or the AppImage path on Unix. Requires a **Vulkan** GPU and AVX2 CPU. Docs: [Command Line](https://docs.video2x.org/running/command-line.html).

## Quick Start

```bash
.dependency/python/python .ai/video-to-4k/convert.py --video path/to/clip.mp4
```

Example:

```
assets/video/clip.mp4
  → assets/video/video-to-4k/upscaled/clip.mkv   (Video2X, only if below 4K)
  → assets/video/video-to-4k/clip.mp4            (final master)
```

Already-4K source → only `video-to-4k/clip.mp4` (FFmpeg only).

Anime / cartoon content (Real-ESRGAN anime model):

```bash
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 --anime
```

## Defaults

| Setting | Default | Notes |
|---------|---------|-------|
| Upscaler | Real-ESRGAN `realesrgan-plus` | General / live-action |
| `--anime` | `realesr-animevideov3` | Anime / illustration |
| Scale | Auto 2 or 4 | Smallest factor that meets or exceeds 4K |
| Intermediate | High-bitrate HEVC MKV in `video-to-4k/upscaled/` | Kept for re-encode; delete manually or `--clean-upscaled` |
| Final | Always re-encode | Even if source already matches specs |

## Common Flags

`--video` · `-o` / `--output` · `--anime` · `--gpu` · `--clean-upscaled`

```bash
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 --gpu 0 --clean-upscaled
.dependency/python/python .ai/video-to-4k/convert.py --video clip.mp4 -o out/clip.mp4
```

**Never overwrite source files.** Input must be a single video file (`--video`), not a directory. Supported inputs: `.mp4`, `.mkv`, `.mov`, `.avi`, `.webm`, `.wmv`, `.flv`, `.m4v`, `.mpeg`, `.mpg`, `.ts`, `.mts`, `.m2ts`, `.3gp`, `.ogv`.

## Agent Notes

1. Use the bundled script only.
2. Missing Python / FFmpeg / Video2X → populate `.dependency/`, set `populated: true`, retry the same command.
3. Tell the user where `video-to-4k/` (and `video-to-4k/upscaled/` if used) outputs are; they swap assets manually.
4. Default model is **general** (`realesrgan-plus`). Pass `--anime` for anime/cartoon.
5. Do **not** force fps. Keep the source frame rate. Need 60fps interpolation → **video-to-60fps** first (RIFE at source resolution).
6. Pipeline / FFmpeg / Video2X details: [reference.md](reference.md)

## Tests

From repo root:

```bash
.dependency/python/python .ai/video-to-4k/test_convert.py
```

Manual CLI examples: [cli/video-to-4k.md](../../../cli/video-to-4k.md)

Quelle prüfen

Preis und Betriebskosten

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Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

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Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
KI-Prüffreigabe fehlt
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Stars/forks activity: 143 stars, 14 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: godot-fun/godot-agent
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 9. Sept. 2026
Verzeichnis aktualisiert: 9. Okt. 2026
Anleitungspfad: .cursor/skills/video-to-4k/SKILL.md @ 7b8d10529810

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

60/100

Vielversprechend

Vertrauen

66/100

Nur Sandbox

Audit

74/100

Riskant

Vollständiges Audit öffnen Eval-Bericht ansehen

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
KI-Prüffreigabe fehlt
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Stars/forks activity: 143 stars, 14 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "AI review approval is missing",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review",
      "Stars/forks activity: 143 stars, 14 forks; issue activity unavailable in current metadata",
      "Review status: AI review approval is missing"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 60,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "1mo since push",
    "risk": "Risky"
  },
  "alternative_skills": [
    {
      "slug": "latent-spaces-brag-slim",
      "name": "brag-slim",
      "url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
      "stars": 13807,
      "install_command": "npx skills add latent-spaces/brag --skill brag-slim",
      "trust_score": 81,
      "audit_score": 84
    },
    {
      "slug": "krillinai-krillinai-render-horizontal",
      "name": "krillinai-render-horizontal",
      "url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-horizontal",
      "stars": 12876,
      "install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
      "trust_score": 82,
      "audit_score": 85
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
    "AI review approval is missing",
    "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval."
  ],
  "agent_contract": {
    "task_input": "Use video-to-4k in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 74/100 Strong shortlist",
      "Audit: 74/100 Risky",
      "Safety: 46/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "godot-fun-video-to-4k (video-to-4k)",
      "install_command": "npx skills add godot-fun/godot-agent --skill video-to-4k",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "godot-fun-video-to-4k",
      "task": "Use video-to-4k in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/godot-fun-video-to-4k",
    "api": "https://www.openagentskill.com/api/agent/skills/godot-fun-video-to-4k",
    "audit": "https://www.openagentskill.com/skills/godot-fun-video-to-4k/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=godot-fun-video-to-4k&task=Use%20video-to-4k%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20video-to-4k%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20video-to-4k%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/godot-fun-video-to-4k/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/godot-fun-video-to-4k"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: godot-fun
Quelle: godot-fun/godot-agent
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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Dieser Registry-indexiert-Eintrag wird godot-fun zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/godot-fun-video-to-4k?metric=listed&label=Listed)](https://www.openagentskill.com/skills/godot-fun-video-to-4k?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/godot-fun-video-to-4k?metric=audit&label=Audit)](https://www.openagentskill.com/skills/godot-fun-video-to-4k/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/godot-fun-video-to-4k?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/godot-fun-video-to-4k?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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