Read, search, and download emails and attachments from Microsoft Outlook via OAuth2. Use when the user asks to (1) check, read, or fetch emails or messages from Outlook, (2) search emails by keyword, sender, or subject, (3) download email attachments such as contracts, NDAs, or documents, (4) chain email content into other skills (e.g. "read the latest email from X and review the attached NDA"), or (5) any task involving Microsoft Outlook, Office 365, or Exchange email access.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
| What this skill does | What it does NOT do |
|---|---|
| Read and search Outlook emails | Send emails |
| Download email attachments | Store any data between sessions |
| Integrate with other Skills (NDA, contracts) | Require any technical setup |
No configuration needed. Just run the skill and sign in with your Microsoft account.
# Last 10 emails
uv run .agents/skills/outlook-emails-lawvable/scripts/outlook_oauth.py
# Last 5 emails
uv run .agents/skills/outlook-emails-lawvable/scripts/outlook_oauth.py --limit 5
# Search by keyword
uv run .agents/skills/outlook-emails-lawvable/scripts/outlook_oauth.py --search "NDA"
# Search by sender
uv run .agents/skills/outlook-emails-lawvable/scripts/outlook_oauth.py --from "jean@example.com"
uv run .agents/skills/outlook-emails-lawvable/scripts/outlook_oauth.py --download
Each run opens a browser window for Microsoft login. Sign in with your Microsoft account and accept the permissions.
Read-only access. The skill only requests permission to read your emails and your profile. It cannot send emails or modify anything.
Zero data retention. No token is stored between sessions. Each time you run the skill, you authenticate fresh. Nothing is cached on disk.
Your password is never shared with Lawvable.
User: "Read the latest email from jean@partner.com and review
the NDA attachment using the NDA skill"
Claude will:
1. Use outlook_oauth.py to fetch the email
2. Download the .docx attachment
3. Use nda-review-jamie-tso skill to analyze
4. Return the issue log with redlines
If you prefer to use your own Azure App Registration, set this environment variable:
AZURE_CLIENT_ID=your-client-id
See references/AZURE_SETUP.md for the full setup guide.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Public-safe preliminary screen for challenges to the impartiality of an AI evaluator, LLM-as-a-judge, decision-support agent, or adjudicative system based on prior outputs, suspected bias, unstable reasoning, or self-reinforcing memory. Use when asked whether an AI should be recused, disqualified, replaced, audited, or escalated. Does not decide real cases or claim that human judicial-recusal doctrine automatically applies.
中文简介正在准备中。当前显示原文说明。
Creates an Agent Authority Charter for enterprise or regulated AI agents before deployment. Use this Skill when a user needs to define what an AI agent is allowed to do, who delegated authority to it, what actions are permitted or prohibited, when human approval is required, what evidence must be preserved, and how the agent can be suspended, revoked, or escalated.
中文简介正在准备中。当前显示原文说明。
EU AI Act Knowledge Engine — authoritative regulatory Q&A grounded in 70 official EU source documents (including the 2026 Commission draft guidelines on Art. 6 high-risk classification — general principles, Annex I, Annex III). Answers any question about the AI Act with article-level citations from the full regulation text, Commission guidelines, EDPB/EDPS opinions, codes of practice, harmonised standards, FRIA guides, incident templates, and sector-specific guidance. This skill should be used when the user asks about the "EU AI Act", "AI Act regulation", "Regulation 2024/1689", "KI-Verordnung", asks to "explain an AI Act article", "what does Article X say", "AI Act requirements", "AI Act penalties", "AI Act timeline", "GPAI obligations", "high-risk AI", "prohibited AI practices", "AI Act and GDPR", "fundamental rights impact assessment", "AI Act standards", "AI Act national implementation", "AI literacy", "serious incident reporting", "Digital Omnibus", "AI regulatory sandbox", or any question about EU artificial intelligence regulation. Also triggers on German terms: "KI-Gesetz", "KI-Verordnung", "Hochrisiko-KI", "KI-Kompetenz", "Grundrechte-Folgenabschaetzung", "GPAI-Verhaltenskodex". For assessment workflows that produce a classification decision rather than a knowledge answer, offer to run a structured risk-tier classification in-session.
中文简介正在准备中。当前显示原文说明。
This skill builds a structured audit trail of an AI-assisted task: what the tool was asked to do, what materials it was given, what it produced, how the output was verified, and what was ultimately relied upon. It documents the workflow for supervision and later review without ruling on privilege or disclosure, so the record stays accurate rather than self-serving.
中文简介正在准备中。当前显示原文说明。
Use this skill when the user wants an AI governance, legal-risk, privacy, compliance, procurement, or vendor-risk review of an internal AI use case, an AI product feature, an LLM workflow, or a third-party AI vendor. The skill asks intake and clarifying questions first when facts or evidence are missing, identifies required documentation and missing evidence, maps the use case to AI governance frameworks and applicable legal domains, and produces a preliminary or final governance review with scorecards, findings, owners, remediation actions, and follow-up questions.
中文简介正在准备中。当前显示原文说明。
Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable. Produces a multi-page website (default), a single-page interactive site, a Microsoft Word document, a PowerPoint deck, or a LaTeX/PDF. Use whenever a user has a stress-test result, ambiguity audit, or "where will this be litigated" scenarios and wants to publish, present, or share them. Triggers on "publish the audit," "make a report from this," "turn this into a website / deck / brief / Word doc," "make a Netlify site," "build slides of these ambiguities," "render the scenarios," "package this stress test," "produce a LaTeX version," and similar. Pairs with the ambiguity-stress-test skill (the underlying analysis) but works on any structured or semi-structured ambiguity analysis. Visual design is opinionated but the user can override colors, fonts, and brand label. Most formats need Python and a writable filesystem; single-file HTML works where the host has neither.
中文简介正在准备中。当前显示原文说明。