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youosyouos 搜索

Agent Skill

youos 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:youos(youos 搜索)
来源仓库:https://github.com/drbaher/youos
安装命令:
openclaw skills install youos
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 youos

简介

youos 是一款本地优先的个人邮件副驾驶,可学习用户写作风格并起草 Gmail、Google Docs 和 WhatsApp 的回复。

  • 适合在 OpenClaw 中需要保持沟通语气一致、提升邮件处理效率的场景使用。
  • 基于本地数据训练模型,支持导出历史记录以适配个人表达习惯。
  • 安装命令:openclaw skills install youos;需授权访问相关邮箱或文档数据。
  • 建议先核对隐私边界,确保敏感信息不被外泄或滥用。

SKILL.md

name
youos
description
>
metadata
openclaw
requires
bins
["python3", "gog"]
platform
darwin
arch
arm64
minRam
8GB
install
label
Manual install required
steps
credentials
required
optional
privacy
localStorage
networkEgress

YouOS — Personal Email Copilot

YouOS is a full local Python app (not an instruction-only snippet). It drafts email replies in your style, grounded in your real past replies.

Safety / impact (read before install)

  • This app can ingest sensitive personal data (Gmail, Docs, WhatsApp exports) into a local SQLite database.
  • pip install -e . executes package install code locally; only run on trusted source.
  • Persistence is optional: background service install happens only if you explicitly run launchd install scripts.
  • Scheduled/nightly improvement runs are opt-in/manual unless you configure automation yourself.
  • External model fallback is optional; set model.fallback: none for local-only operation.

Install and runtime model

  • Install is manual via pip (pip install -e .) in a Python 3.11+ environment
  • Note: pip install -e . executes local package install code from this repository; review source before installing
  • Requires both:

- python3 (3.11+) - gog CLI authenticated to the Gmail account(s) you want to ingest

  • Optional runtime path override: YOUOS_DATA_DIR

Credentials and configuration

  • Required: gog authentication for Gmail/Docs ingestion
  • Optional: Claude CLI/API credentials only if using external fallback generation
  • Recommended for local-only privacy: set model.fallback: none

Trigger phrases

  • "draft a reply to this email"
  • "write this email for me"
  • "how would I respond to this"
  • "what would I say to"
  • "help me reply"
  • "draft in my style"
  • "youos"
  • "my email copilot"
  • "email copilot"
  • "my copilot"
  • "generate a draft"
  • "reply draft" / "email draft" / "draft reply"
  • "compose reply"
  • "write a response"
  • "email response"
  • "how do I usually reply to"
  • "reply to this"
  • "help me write"
  • "write an email"
  • "compose a response"
  • "email assistant"
  • "my writing style"
  • "train on my emails"

Requirements

  • Apple Silicon Mac (M1/M2/M3/M4) with 8GB+ RAM (16GB recommended)
  • Python 3.11+
  • gog CLI configured with your Gmail account(s)
  • ~5GB free disk space
  • Run the UI locally by default (do not expose publicly unless intentionally secured)

Quick start

# Install
cd ~/Projects/youos
pip install -e .

# Check system requirements (Python, gog CLI, disk space, etc.)
youos doctor

# Run setup wizard (15 min, mostly ingestion)
youos setup

# Draft a reply
youos draft "paste inbound email here"
youos draft --sender john@company.com "email text"

# Open web UI
youos ui

# Check status
youos status

# Run nightly pipeline manually (add --verbose for step-by-step output)
youos improve
youos improve --verbose

# Run golden benchmark evaluation (8 curated test cases)
youos eval --golden

# Full corpus health report (pairs, quality scores, top senders)
youos corpus
youos corpus --json

# Ingest a WhatsApp chat export (optional — augments your corpus)
youos ingest --whatsapp ~/Downloads/WhatsApp-Chat.txt

# Add sender note (immediately rebuilds their profile)
youos note john@company.com "integration partner, prefers bullet points"

# Submit a feedback pair directly from the terminal
youos feedback --inbound "email text" --reply "your reply" --rating 4

# View stats
youos stats

# Teardown (remove all data, keep code)
youos teardown

Gmail Bookmarklet

Install from the Bookmarklet page in the web UI. Once installed:

  • Click bookmarklet on any Gmail thread → floating panel opens on the right
  • Click Generate Draft → draft appears in the panel
  • Click Insert into Gmail → draft injected into compose window
  • Rate the draft with stars and submit feedback — all without leaving Gmail
  • Click the bookmarklet again to close the panel

How it works

  1. Ingests Gmail, Google Docs, WhatsApp exports — plus organic pairs from emails you sent without YouOS
  2. Builds a retrieval index — BM25 + query expansion + semantic (LRU-cached) + multi-intent + per-account isolation + same-thread 2× + subject + topic signals + sender-type boosts + quality scores + relative confidence thresholds
  3. When you ask for a draft: detects multi-intent, retrieves score-ranked thread-deduplicated exemplars (reply preserved 600 chars, inbound trimmed 400), prompt token budget enforced; generates using per-mode persona with first-name greeting; local model empty/signature-only output falls back to Claude automatically
  4. Every email you review trains the model further — curriculum-ordered, quality-filtered, training pairs deduplicated by similarity, DPO pairs supported; nightly pipeline skips steps when data insufficient
  5. Nightly: ingests + organic pairs, incremental persona re-analysis (90-day weighted, EWMA avg words, p25/p75 confidence intervals), fine-tunes (with golden eval check), runs autoresearch on rotating benchmark sample
  6. Autoresearch benchmarks rotate weekly (seeded re-sample) — prevents overfitting to fixed test cases; golden eval composite tracked in pipeline log
  7. Style drift detection: Stats dashboard flags when your writing patterns shift significantly
  8. Your best-rated, least-edited replies surface higher in future retrievals via quality scoring
  9. Sender profiles track reply-time patterns and topics; youos note immediately rebuilds that contact's profile
  10. Submit feedback from terminal: youos feedback --inbound "..." --reply "..." --rating 4
  11. Setup wizard asks for internal domains — accurate sender classification from day one
  12. Facts store (/api/facts) — save context about contacts, projects, and preferences; facts are injected into generation prompts automatically for context-aware drafts
  13. Auto fact extraction — sender notes and feedback notes are parsed automatically on save using 15+ rule patterns (preferences, timezone, schedule, sign-offs, roles, relationships, project metadata); negation-aware with confidence scoring; LLM (Claude CLI) fallback for unstructured notes; fact deduplication/merging on upsert

Security & privacy notes

  • Gmail ingestion uses your local gog authentication; review connected accounts before ingestion
  • External LLM fallback is optional; if enabled (model.fallback: claude), inbound email/context can be sent to Claude for generation
  • For strict local-only operation, set model.fallback: none in youos_config.yaml
  • Data location defaults to local project paths (or YOUOS_DATA_DIR if set)
  • Review PRIVACY.md before first ingestion/deployment

Provenance

  • Source/homepage: https://github.com/DrBaher/youos
  • This skill bundles a full local Python app and is intended for explicit local install/review before use.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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能力 1

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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