Agent skill

Yichen Wechat Local Vault

by mcncarl in mcncarl/yichen-skills

微信本地数字资产库:Mac 4.x 全量/增量解析,以及实验性的 Windows 已解密离线快照查询。Windows 快照必须走 snapshot 子命令,不触发 Mac 增量刷新。Mac 模式用于本机微信聊天记录、联系人、群聊、朋友圈、收藏夹、语音/附件索引的密钥提取、全量解密、增量刷新、指定联系人/群聊导出、关系复盘、客户跟进和内容沉淀。触发词:微信解析、微信全量、微信增量、聊天记录、导出聊…

Custom licenceAuto-check passedProductivity & Automation

Install Yichen Wechat Local Vault

skills CLI
$ npx skills add mcncarl/yichen-skills --skill yichen-wechat-local-vault -a claude-code

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

GitHub CLI
$ gh skill install mcncarl/yichen-skills yichen-wechat-local-vault --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/mcncarl/yichen-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/yichen-wechat-local-vault .claude/skills/yichen-wechat-local-vault && 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
yichen-wechat-local-vault
GitHub stars
4.4k
Token cost
~1.7k tokens
SKILL.md length
289 words
Files
22 (incl. scripts, references)
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

微信本地数字资产库:Mac 4.x 全量/增量解析,以及实验性的 Windows 已解密离线快照查询。Windows 快照必须走 snapshot 子命令,不触发 Mac 增量刷新。Mac 模式用于本机微信聊天记录、联系人、群聊、朋友圈、收藏夹、语音/附件索引的密钥提取、全量解密、增量刷新、指定联系人/群聊导出、关系复盘、客户跟进和内容沉淀。触发词:微信解析、微信全量、微信增量、聊天记录、导出聊…

  • Works in 7 steps: 用户说“第一次用、解不开、key 没了、全部解密、全量重建”:走全量路线。 → 用户说“继续、更新一下、增量、最近、今天、新消息”:走增量路线。 → 用户点名联系人/群聊/会话 ID:只导出这一条会话;必要时先增量解密消息库。 → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 隐私边界, 先确定数据来源, Mac 模式:自动选择模式 and 统一查询入口, plus 5 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Yichen Wechat Local Vault is an agent skill from mcncarl/yichen-skills. 微信本地数字资产库:Mac 4.x 全量/增量解析,以及实验性的 Windows 已解密离线快照查询。Windows 快照必须走 snapshot 子命令,不触发 Mac 增量刷新。Mac 模式用于本机微信聊天记录、联系人、群聊、朋友圈、收藏夹、语音/附件索引的密钥提取、全量解密、增量刷新、指定联系人/群聊导出、关系复盘、客户跟进和内容沉淀。触发词:微信解析、微信全量、微信增量、聊天记录、导出聊天、朋友圈解析、收藏夹解析、客户跟进、yichen-wechat-local-vault。

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including scripts and reference files (for example `README.md`, `references/windows-snapshot.md` and `references/windows-snapshot/CONTRIBUTOR_GRANT.md`).

It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat.

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/yichen-wechat-local-vault”

Requirements

  • Python 3

Workflow steps

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

  1. 用户说“第一次用、解不开、key 没了、全部解密、全量重建”:走全量路线。
  2. 用户说“继续、更新一下、增量、最近、今天、新消息”:走增量路线。
  3. 用户点名联系人/群聊/会话 ID:只导出这一条会话;必要时先增量解密消息库。
  4. 用户给时间范围:只按该时间范围导出或分析。
  5. 用户问朋友圈/收藏夹:只读取对应已解密库;缺 key 再补抓。
  6. 用户明确说“群聊摘要、群聊精华、日报、复盘、从上次继续”时,优先用 vault_cli.py digest-source 生成素材包,再基于素材写简报;不要把整个 skill 解释成摘要工具。
  7. 用户要求不操作微信界面时,只能使用 --match-only、已保存 key、已解密库或本地数据库文件;不要启动 Computer Use。

What it can do on your machine

Read from SKILL.md and the folder at commit 9bd7898. 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

    Ships 9 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Yichen Wechat Local Vault loads about 1.7k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 289 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.8k

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 289 words (~1,696 tokens).

“这个 skill 的定位是“微信本地数字资产库 + 本地查询分析台”。默认只读取本机数据库和本地进程,不点击微信界面;除非用户明确允许,不操作微信 UI。默认只处理官方第一个微信容器 com.tencent.xinWeChat,不要处理双开/第二微信容器。”

— opening of SKILL.md by mcncarl, Custom licence
name
yichen-wechat-local-vault

Read the full SKILL.md on GitHub

Files

SKILL.md and 21 other files (scripts, references) in yichen-wechat-local-vault of mcncarl/yichen-skills.

  • SKILL.md
  • README.md
  • references/windows-snapshot.md
  • references/windows-snapshot/CONTRIBUTOR_GRANT.md
  • references/windows-snapshot/PROVENANCE.md
  • references/windows-snapshot/REPOSITORY_LICENSE.txt
  • references/windows-snapshot/THIRD_PARTY_NOTICES.md
  • references/windows-snapshot/requirements.lock
  • references/windows-snapshot/sbom.spdx.json
  • scripts/decrypt_all_dbs.py
  • scripts/export_chat.py
  • scripts/extract_keys.py
  • scripts/list_contacts.py
  • scripts/search_sns.py
  • scripts/snapshot_reader.py
  • scripts/vault_cli.py
  • scripts/wechat_digest.py
  • scripts/wechat_schema.py
  • … and 4 more

Open the folder on GitHubat commit 9bd7898

Compare with similar skills

Yichen Wechat Local Vault 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.

Yichen Wechat Local Vault compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Yichen Wechat Local Vault this skillmcncarl/yichen-skills4.4k—~1.7kAutomated safety check: PassCustom licence
She Love Me863401402/she-love-me9251 repos~1.3kAutomated safety check: PassMIT
Wechat Article Extractorfreestylefly/wechat-article-extractor-skill1361 repos~1kAutomated safety check: PassNone
Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder355—~634Automated safety check: PassMIT
Skill Wechat PublisherZJU-REAL/Easel3.3k—~1.8kAutomated safety check: PassApache-2.0
Wechat Mp Writerth3ee9ine/wechat-claw-skill206—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Yichen Wechat Local Vault

What does Yichen Wechat Local Vault do?

微信本地数字资产库:Mac 4.x 全量/增量解析,以及实验性的 Windows 已解密离线快照查询。Windows 快照必须走 snapshot 子命令,不触发 Mac 增量刷新。Mac 模式用于本机微信聊天记录、联系人、群聊、朋友圈、收藏夹、语音/附件索引的密钥提取、全量解密、增量刷新、指定联系人/群聊导出、关系复盘、客户跟进和内容沉淀。触发词:微信解析、微信全量、微信增量、聊天记录、导出聊…. Yichen Wechat Local Vault is an agent skill from mcncarl/yichen-skills.

When should I use Yichen Wechat Local Vault?

Yichen Wechat Local Vault fits situations like: tasks that involve Messaging and chat bots.

How do I install Yichen Wechat Local Vault in Claude Code?

Run `npx skills add mcncarl/yichen-skills --skill yichen-wechat-local-vault -a claude-code`. Or copy the skill folder (yichen-wechat-local-vault in mcncarl/yichen-skills) into .claude/skills/yichen-wechat-local-vault in your project. Claude Code loads it when a task matches its description.

How do I install Yichen Wechat Local Vault in Codex?

Run `npx skills add mcncarl/yichen-skills --skill yichen-wechat-local-vault -a codex`. Or copy the skill folder (yichen-wechat-local-vault in mcncarl/yichen-skills) into .agents/skills/yichen-wechat-local-vault in your project. Codex loads it when a task matches its description.

Can I use Yichen Wechat Local Vault 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 mcncarl/yichen-skills --skill yichen-wechat-local-vault -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yichen-wechat-local-vault, .gemini/skills/yichen-wechat-local-vault, .github/skills/yichen-wechat-local-vault and .opencode/skills/yichen-wechat-local-vault in your project.

What does Yichen Wechat Local Vault need to run?

Going by SKILL.md and its folder, Yichen Wechat Local Vault needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Yichen Wechat Local Vault 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 Yichen Wechat Local Vault 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Yichen Wechat Local Vault use?

Yichen Wechat Local Vault has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Yichen Wechat Local Vault use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Yichen Wechat Local Vault?

Skills that share tags, products or a category with Yichen Wechat Local Vault: She Love Me (863401402/she-love-me, 925 stars), Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars), Wechat Miniprogram Builder (chenjin-cmd/wechat-miniprogram-builder, 355 stars) and Skill Wechat Publisher (ZJU-REAL/Easel, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Yichen Wechat Local Vault?

mcncarl (a GitHub user) maintains it in mcncarl/yichen-skills, which has 4,352 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 4, 2026.

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