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Agent Skill · 待分类

video-noise-reduction(视频降噪)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

video-noise-reduction 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 2,062。

总安装 1,922周安装 77GitHub Stars 12下载 622核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-noise-reduction(视频降噪)
来源仓库:https://github.com/eachlabs/skills
仓库路径:skills/video-noise-reduction
安装命令:
npx skills add https://github.com/eachlabs/skills --skill video-noise-reduction
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eachlabs/skills --skill video-noise-reduction

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

安装方式:github,通过 npx skills add 命令添加指定仓库中的技能。适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境。

来源仓库内路径:skills/video-noise-reduction

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/eachlabs/skills --skill video-noise-reduction;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

video-noise-reduction 怎么安装?

在终端执行 npx skills add https://github.com/eachlabs/skills --skill video-noise-reduction。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

video-noise-reduction 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

video-noise-reduction 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

video-noise-reduction 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

video-noise-reduction 用的人多吗?

公开数据是累计安装 1,922 次,近一周安装 77 次,下载 622 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

video-noise-reduction 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
video-noise-reduction

视频降噪 · 本页

1,92212需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Video Noise Reduction

Reduce noise, grain, and artifacts from videos using each::sense. This skill handles low light footage, high ISO grain, security camera enhancement, old footage restoration, and various denoising tasks while preserving important details.

Features

  • Low Light Denoising: Clean up footage shot in dim conditions
  • High ISO Grain Removal: Remove digital noise from high sensitivity recordings
  • Security Camera Enhancement: Improve clarity of surveillance footage
  • Old Footage Restoration: Restore vintage or degraded video
  • Webcam Quality Improvement: Enhance video call recordings
  • Night Mode Cleanup: Fix noisy night vision or low light phone footage
  • Compression Artifact Removal: Clean up heavily compressed video
  • Film Grain Removal: Remove unwanted grain from film scans
  • Detail Preservation: Denoise while maintaining sharpness and texture

Quick Start

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Denoise this video, reduce the grain while keeping details sharp"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/noisy-video.mp4"]
  }'

Denoising Parameters

ParameterDescriptionUse Case
StrengthHow aggressively to remove noiseLight for subtle cleanup, heavy for very noisy footage
Detail PreservationBalance between smoothing and sharpnessHigher for footage with important textures
Temporal ConsistencyReduce flickering between framesEssential for video to avoid artifacts
Color DenoisingClean chroma noise separatelyUseful for high ISO color noise

Use Case Examples

1. Low Light Video Denoising

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "This video was shot in very low light conditions. Please denoise it while maintaining natural skin tones and avoiding the plastic look. Keep the atmospheric mood but reduce the heavy grain."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/low-light-indoor.mp4"]
  }'

2. High ISO Grain Removal

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Remove the high ISO digital noise from this video. It was shot at ISO 12800 and has significant luminance and color noise. Clean it up while preserving edge details and facial features."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/high-iso-concert.mp4"]
  }'

3. Security Camera Enhancement

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Enhance this security camera footage. Reduce the noise and compression artifacts, improve clarity so faces and license plates are more readable. The footage is from a night vision camera."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/security-cam-footage.mp4"]
  }'

4. Old Footage Restoration

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Restore this old family video from the 90s. Remove the tape noise, reduce flickering, clean up the color bleeding, and improve overall clarity. Keep it looking natural, not overly processed."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/vhs-family-video.mp4"]
  }'

5. Webcam Quality Improvement

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Improve this webcam recording quality. It has noise from the small sensor and poor lighting. Denoise the footage, reduce the graininess, and make the speaker look clearer for a professional presentation."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/zoom-recording.mp4"]
  }'

6. Night Mode Video Cleanup

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Clean up this night mode video shot on a smartphone. Remove the excessive noise reduction artifacts, smooth out the blotchy areas, and fix the color noise in the shadows while keeping highlights intact."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/iphone-night-mode.mp4"]
  }'

7. Compression Artifact Removal

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Remove compression artifacts from this video. It was heavily compressed and has visible blocking, banding, and mosquito noise around edges. Clean it up to look like higher quality footage."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/compressed-video.mp4"]
  }'

8. Film Grain Removal

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Remove the film grain from this scanned 16mm footage. I want a clean digital look without the organic grain texture. Preserve the original colors and contrast but give it a smooth modern appearance."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/16mm-film-scan.mp4"]
  }'

9. Preserve Detail While Denoising

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Denoise this nature documentary footage. It has noise from shooting at dusk. Important: preserve fine details like animal fur texture, feather patterns, and grass blades. Only remove noise, do not smooth out real textures."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "video_urls": ["https://example.com/wildlife-footage.mp4"]
  }'

10. Batch Denoise Multiple Clips

# First clip
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "I have several clips from the same shoot that need denoising. Starting with clip 1 - apply moderate noise reduction suitable for low light indoor footage. Remember these settings for the next clips."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-denoise-project-001",
    "video_urls": ["https://example.com/project/clip-01.mp4"]
  }'

# Second clip (same session for consistency)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Apply the same denoising settings to clip 2 from the same project. Keep the results consistent with the first clip."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-denoise-project-001",
    "video_urls": ["https://example.com/project/clip-02.mp4"]
  }'

# Third clip (same session)
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Continue with clip 3, same settings as before."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "batch-denoise-project-001",
    "video_urls": ["https://example.com/project/clip-03.mp4"]
  }'

Best Practices

Denoising Guidelines

  • Start Conservative: Begin with lighter denoising and increase if needed
  • Preserve Motion: Ensure temporal consistency to avoid flickering artifacts
  • Watch Skin Tones: Aggressive denoising can create unnatural "plastic" skin
  • Maintain Texture: Real textures (fabric, hair, foliage) should be preserved
  • Check Dark Areas: Shadows often contain the most noise - focus there

Input Considerations

  • Higher Resolution Source: Better input quality yields better results
  • Uncompressed Preferred: Work with least compressed source available
  • Color Space: Maintain original color space when possible
  • Frame Rate: Temporal denoising works better with higher frame rates

Output Quality

  • Preview First: Test on a short section before processing full video
  • Compare A/B: Check before/after to ensure details are preserved
  • Export Settings: Use high quality export to avoid reintroducing artifacts

Prompt Tips for Video Denoising

When requesting video noise reduction, include these details:

  1. Noise Type: Describe the kind of noise (grain, digital, compression, etc.)
  2. Source: How was it captured (camera type, ISO, lighting conditions)
  3. Priority Areas: What details must be preserved (faces, text, textures)
  4. Desired Look: Natural vs. heavily processed, film vs. digital
  5. Problem Areas: Specific issues to address (shadows, highlights, motion)

Example Prompt Structure

"Denoise this [source type] video.
The noise is caused by [reason - low light/high ISO/compression].
Priority: preserve [important details like faces, text, textures].
Remove [specific noise types] while keeping [what to preserve].
[Any additional requirements]"

Mode Selection

Ask your users before processing:

"Do you want fast processing or maximum quality?"

ModeBest ForSpeedQuality
maxFinal deliverables, client work, important footageSlowerHighest
ecoQuick previews, test runs, bulk processing draftsFasterGood

Multi-Turn Iterative Denoising

Use session_id to refine denoising results:

# Initial denoise attempt
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Denoise this low light interview footage"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "interview-denoise-project",
    "video_urls": ["https://example.com/interview-raw.mp4"]
  }'

# Request adjustment
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "The skin looks too smooth and plastic. Can you redo it with more detail preservation? Keep some natural skin texture while still removing the noise."}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "interview-denoise-project"
  }'

# Fine-tune specific areas
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Better! But the background still has some noise. Can you apply stronger denoising to the out-of-focus background while keeping the subject sharp?"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "interview-denoise-project"
  }'

Error Handling

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
TimeoutVideo processing takes timeSet client timeout to minimum 10 minutes
Unsupported formatCodec not supportedConvert to MP4 H.264 before processing
File too largeVideo exceeds size limitsSplit into shorter segments

Related Skills

  • each-sense - Core API documentation
  • video-upscaling - Increase video resolution
  • video-enhancement - General video quality improvement
  • video-stabilization - Remove camera shake

平台分布

Codex

37.44%
按下载量换算233

Claude

30.76%
按下载量换算191

Cursor

18.64%
按下载量换算116

Gemini CLI

9.72%
按下载量换算60

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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