Agent skill

Video Information Reading

by freestylefly in freestylefly/WeChatBridge

从微信聊天记录导出文件中找出视频链接或本地视频附件,整理可获得的逐字稿、内容摘要、关键结论和时间点,并保留来源。当用户要求解读、总结或归档聊天记录里的视频内容时使用。

MITAuto-check passedProductivity & Automation

Install Video Information Reading

skills CLI
$ npx skills add freestylefly/WeChatBridge --skill video-information-reading -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install freestylefly/WeChatBridge video-information-reading --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/freestylefly/WeChatBridge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/shared/Skills/video-information-reading .claude/skills/video-information-reading && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
video-information-reading
GitHub stars
1.2k
Token cost
~242 tokens
SKILL.md length
42 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

从微信聊天记录导出文件中找出视频链接或本地视频附件,整理可获得的逐字稿、内容摘要、关键结论和时间点,并保留来源。当用户要求解读、总结或归档聊天记录里的视频内容时使用。

  • Works in 3 steps: 聊天记录里的视频平台链接(视频号、B 站、抖音、YouTube 等); → 视频号/小程序分享卡片(标题 + 来源 + 封面图); → 随记录导出的本地视频文件(mp4 等)或视频截图。
  • Productivity & Automation work in your project
  • SKILL.md covers 输入, 步骤, 输出 and 注意
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Video Information Reading is an agent skill from freestylefly/WeChatBridge. 从微信聊天记录导出文件中找出视频链接或本地视频附件,整理可获得的逐字稿、内容摘要、关键结论和时间点,并保留来源。当用户要求解读、总结或归档聊天记录里的视频内容时使用。

Its SKILL.md is about 240 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. It works with Obsidian, macOS and WeChat. The repository describes itself as: 微信聊天记录一键转发到 AI Agent 与 Obsidian 的原生 macOS 工具. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/video-information-reading”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 聊天记录里的视频平台链接(视频号、B 站、抖音、YouTube 等);
  2. 视频号/小程序分享卡片(标题 + 来源 + 封面图);
  3. 随记录导出的本地视频文件(mp4 等)或视频截图。

What it can do on your machine

Read from SKILL.md and the folder at commit 0b00e3f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video Information Reading loads about 242 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 42 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~242

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from freestylefly/WeChatBridge at commit 0b00e3f, republished under its MIT licence (© freestylefly). 42 words, ~242 tokens.

Download SKILL.mdSave it as .claude/skills/video-information-reading/SKILL.md (or your agent's skills folder).
name
video-information-reading
description
从微信聊天记录导出文件中找出视频链接或本地视频附件,整理可获得的逐字稿、内容摘要、关键结论和时间点,并保留来源。当用户要求解读、总结或归档聊天记录里的视频内容时使用。

视频信息读取

从微信聊天记录导出文件(ZIP 或已解压内容)中找出所有视频内容,整理成可检索的结构化笔记。

输入

  • 视频可能以三种形态出现:
    1. 聊天记录里的视频平台链接(视频号、B 站、抖音、YouTube 等);
    2. 视频号/小程序分享卡片(标题 + 来源 + 封面图);
    3. 随记录导出的本地视频文件(mp4 等)或视频截图。

步骤

  1. 扫描全部附件文本,找出视频链接、分享卡片和视频文件,按聊天中出现顺序编号。
  2. 对每条视频提取:
    • 来源:平台名称(视频号 / bilibili / 抖音 / 本地文件等);
    • 标题:卡片标题或文件名;
    • 链接或文件名:完整 URL 或附件内文件名;
    • 可获得的信息:附件文本中已有的简介、字幕、转写、截图文字——全部保留;
    • 关键时间点:如果附件中含字幕或转写,标出重要话题开始的时间点;没有就写「无时间信息」。
  3. 对每条视频写一段摘要:基于附件里实际存在的文字信息归纳;只有链接没有内容时,标注「仅有链接,无法读取内容」,不要根据标题猜测正文。

输出

每条视频一节,用 Markdown 输出:

markdown
## 1. {标题}
- 来源:{平台}
- 链接/文件:{URL 或文件名}
- 时长:{已知时长或「未知」}

### 摘要
{基于附件信息的摘要,或「仅有链接,无法读取内容」}

### 关键时间点
- {mm:ss} {话题}(无则写「无时间信息」)

结尾附汇总表:编号、标题、来源、是否有可读内容。

注意

  • 只处理视频;图片和普通文件不算,但在汇总表末尾列一行「跳过的其他附件」。
  • 无法播放视频文件本身时,如实说明,只整理附件中已有的文字信息。
  • 保留附件中原始字幕/转写的时间戳格式,不做换算。

© freestylefly, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in shared/Skills/video-information-reading of freestylefly/WeChatBridge.

Open the folder on GitHubat commit 0b00e3f

Compare with similar skills

Video Information Reading next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Video Information Reading compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video Information Reading this skillfreestylefly/WeChatBridge1.2k—~242Automated safety check: PassMIT
Yichen Mac Wechat Dual Openmcncarl/yichen-skills4.4k—~1.5kAutomated safety check: PassCustom licence
Yichen Wechat Mp Batch Exportermcncarl/yichen-skills4.4k—~1.5kAutomated safety check: PassCustom licence
Wx CLIjackwener/wx-cli-again809—~2.3kAutomated safety check: NotesApache-2.0
Greenbubbles Setupbojieli/greenbubbles365—~537Automated safety check: PassMIT
Wechat Exporterrobbin/wechat-exporter214—~2kAutomated safety check: NotesNone

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Questions about Video Information Reading

What does Video Information Reading do?

从微信聊天记录导出文件中找出视频链接或本地视频附件,整理可获得的逐字稿、内容摘要、关键结论和时间点,并保留来源。当用户要求解读、总结或归档聊天记录里的视频内容时使用。. Video Information Reading is an agent skill from freestylefly/WeChatBridge.

When should I use Video Information Reading?

Video Information Reading fits situations like: productivity & Automation work in your project.

How do I install Video Information Reading in Claude Code?

Run `npx skills add freestylefly/WeChatBridge --skill video-information-reading -a claude-code`. Or copy the skill folder (shared/Skills/video-information-reading in freestylefly/WeChatBridge) into .claude/skills/video-information-reading in your project. Claude Code loads it when a task matches its description.

How do I install Video Information Reading in Codex?

Run `npx skills add freestylefly/WeChatBridge --skill video-information-reading -a codex`. Or copy the skill folder (shared/Skills/video-information-reading in freestylefly/WeChatBridge) into .agents/skills/video-information-reading in your project. Codex loads it when a task matches its description.

Can I use Video Information Reading in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add freestylefly/WeChatBridge --skill video-information-reading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-information-reading, .gemini/skills/video-information-reading, .github/skills/video-information-reading and .opencode/skills/video-information-reading in your project.

What does Video Information Reading need to run?

SKILL.md names no scripts, command-line tools or credentials: Video Information Reading is instructions for the agent only.

Does Video Information Reading access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Video Information Reading safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Video Information Reading use?

Video Information Reading is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video Information Reading use?

About 242 tokens (SKILL.md is roughly 968 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Video Information Reading?

Skills that share tags, products or a category with Video Information Reading: Yichen Mac Wechat Dual Open (mcncarl/yichen-skills, 4.4k stars), Yichen Wechat Mp Batch Exporter (mcncarl/yichen-skills, 4.4k stars), Wx CLI (jackwener/wx-cli-again, 809 stars) and Greenbubbles Setup (bojieli/greenbubbles, 365 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Information Reading?

freestylefly (a GitHub user) maintains it in freestylefly/WeChatBridge, which has 1,246 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 10, 2026.

Source: freestylefly/WeChatBridge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.