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Agent Skill · 效率

one-detail-reads-person-video-gen(一个细节读取人视频生成)

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。

one-detail-reads-person-video-gen 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 14,563。

总安装 3,354周安装 137GitHub Stars 公开资料未说明下载 1,085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
MIT-0
版本
1.0.0

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:one-detail-reads-person-video-gen(一个细节读取人视频生成)
来源仓库:https://github.com/zoucdr/one-detail-reads-person-video-gen
安装命令:
openclaw skills install one-detail-reads-person-video-gen
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install one-detail-reads-person-video-gen

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

用于创建垂直社交阅读短片,支持单提示论文、示例节拍和定时英文字幕生成。适用于心理学钩子、微观行为研究或教育类短视频内容制作。可自动生成素材说明和镜头脚本,提升视频生产效率。输出格式为 1080p,建议控制时长在 60 秒内以适配移动端观看。涉及人物肖像时需提前确认版权授权和使用许可范围。

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 OpenClaw;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 openclaw skills install one-detail-reads-person-video-gen;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

    它需要接触敏感数据,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

one-detail-reads-person-video-gen 怎么安装?

在终端执行 openclaw skills install one-detail-reads-person-video-gen。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

one-detail-reads-person-video-gen 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

one-detail-reads-person-video-gen 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

one-detail-reads-person-video-gen 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

one-detail-reads-person-video-gen 用的人多吗?

公开数据是累计安装 3,354 次,近一周安装 137 次,下载 1,085 次。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。

one-detail-reads-person-video-gen 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
one-detail-reads-person-video-gen

一个细节读取人视频生成 · 本页

3,354—接触敏感数据MIT-0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

name
one-detail-reads-person-video-gen
version
1.0.0
description
Create vertical social-read shorts: one-cue thesis, example beat, playful closer, timed English captions (WeryAI). Use for psychology hooks, micro-behavior reads, or respectful debate-bait. Use when the user asks to judge someone from one signal. SEO: read people cue video; social psychology video.
tags
[psychology, social, behavior, hooks, subtitles, short-video, video-gen]
metadata
{ "openclaw": { "emoji": "🎭", "primaryEnv": "WERYAI_API_KEY", "paid": true, "network_required": true, "requires": { "env": ["WERYAI_API_KEY"], "bins": ["node"], "node": ">=18" } } }
user-invocable
true

One detail reads a person (cue → example → debate line)

Template (timings assume duration 10; rescale for 5 or 15): 0–3s *you can read someone by ONE cue*; 3–8s one concrete example (user-chosen: e.g. how they treat service staff, how they handle a small promise, phone posture at dinner—no real non-public figures); 8–10s provocative summary that invites disagreement (e.g. *THAT’S THE TELL—FIGHT ME* toned playfully, not harassment). English subtitles with explicit timing. Default duration is 10 when unspecified.

Dependencies: WERYAI_API_KEY + Node.js 18+. scripts/video_gen.js + WERYAI_VIDEO_API.md. No other Cursor skills required.

Prerequisites

  • WERYAI_API_KEY must be set; Node 18+. Prefer public https image URLs; if the assembled scripts/video_gen.js supports local file paths, review/verify the script and explicitly consent before local read-and-upload to WeryAI.
  • Non-empty model.

Security, secrets, and API hosts

  • WERYAI_API_KEY: Secret; requires.env / primaryEnv.
  • API hosts fixed in video_gen.js; no URL env overrides.
  • Local image handling disclosure: Prefer public https image URLs. If the assembled scripts/video_gen.js supports local file paths, it may read a local image and upload it to WeryAI to obtain a public URL; require review / verification and explicit consent before using that path.
  • Higher assurance: Prefer a short-lived or isolated environment; review scripts/video_gen.js before production use. Verify whether the runtime can read local image files and upload them to WeryAI, and obtain explicit consent before using that path.

Prompt expansion (mandatory)

  • Duration: Default 10; 5 or 15 when allowed and requested.
  • Timeline scaling: Rescale 0–3 / 3–8 / 8–10 proportionally; keep thesis → example → closer order.

Locked rhythm (example for duration 10):

  • 0.0–3.0s — Thesis: e.g. *ONE DETAIL EXPOSES THEIR LEVEL*.
  • 3.0–8.0s — Example beat (split into two on-screen lines if needed, e.g. 3–5.5 and 5.5–8.0) describing generic silhouettes, not identifiable people.
  • 8.0–10.0s — Closer: strong opinion, playful fight-me energy—no slurs, no targeting protected groups.

Visuals: Close-ups hands, eyes, cafe table, door holds; shallow DOF; constant micro-motion.

Typography: Bold sans, outline, lower third; English on screen.

Negatives (Kling): illegible text, watermark.

Confirmation: Full prompt in table.

Niche checklist

  • Example must be filmable in B-roll, not a lecture.
  • Avoid diagnosing real individuals or mental illness.

Workflow

  1. Text / image / multi-image (SEEDANCE_2_0, ≤3).
  2. Collect which cue the user cares about.
  3. Expand → validate → confirm → wait.
  4. [Video](url) for results.

CLI reference

~~~sh node scripts/video_gen.js wait --json '{"model":"KLING_V3_0_PRO","prompt":"…","duration":10,"aspect_ratio":"9:16","generate_audio":true,"negative_prompt":"illegible text, watermark"}' node scripts/video_gen.js wait --json '{"model":"SEEDANCE_2_0","prompt":"…","duration":10,"aspect_ratio":"9:16","resolution":"720p","generate_audio":true}' ~~~

Full reference: WERYAI_VIDEO_API.md.

Definition of done

Video or error; timed English captions follow thesis / example / closer structure with ranges scaled to duration (or user-approved split).

Boundaries (out of scope)

  • No harassment, hate, or doxxing framing.
  • Not professional psychology advice.
  • Captions via prompt only; CLI details in resources/WERYAI_VIDEO_API.md.
  • Multi-image only SEEDANCE_2_0, max 3.

Example prompts

  • Cue: how they treat waiters—cafe B-roll, playful closer
  • Cue: punctuality on small promises—office hands clock
  • Image: anonymous crowd silhouette URL → same beat structure
  • Cue: how they apologize after a mistake—cafe reenactment, playful closer

Model and API constraints (frozen for this skill)

Text-to-video

model_keydurationsaspect_ratiosresolutionsaudionegative_promptprompt limit
KLING_V3_0_PRO5, 10, 159:16, 1:1, 16:9*(omit)*yesyes2000
KLING_V3_0_STA5, 10, 159:16, 1:1, 16:9*(omit)*yesyes2000
SEEDANCE_2_05, 10, 159:16, 1:1, 16:9480p, 720pyesno2000

Image-to-video

model_keydurationsaspect_ratiosresolutionsaudionegative_promptimage slots
KLING_V3_0_PRO5, 10, 159:16, 16:9, 1:1*(omit)*yesyessingle image
KLING_V3_0_STA5, 10, 159:16, 16:9, 1:1*(omit)*yesyessingle image
SEEDANCE_2_05, 10, 159:16, 1:1, 16:9480p, 720pyesnoup to 3 images

Recommended models

Tiermodel_keyDefault duration
⭐ BestKLING_V3_0_PRO10
👍 GoodKLING_V3_0_STA10
⚡ FastSEEDANCE_2_010 (resolution: 720p)

Default parameters

FieldValue
aspect_ratio9:16
duration10
generate_audiotrue
resolution720p (Seedance)
negative_promptKling: illegible text, garbled captions, watermark

Text-to-video (primary)

Collect cue → map to three windows → confirm → wait.

Image-to-video (optional)

Reference still → emotional read with same structure.

Tips

  • Closer works when it’s obviously rhetorical, not cruel.
  • Translate user Chinese brief to English captions unless they specify another on-screen language.
Packaged as one-detail-reads-person-video-gen.

平台分布

OpenClaw

90.95%
按下载量换算987

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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