Agent skill · Content & Marketing

privilege-sentinel

Pre-flight privilege and work-product check for legal AI prompts. Use when the user is about to send legal content to a third-party AI surface (ChatGPT, Claude.ai, Copilot, Gemini, etc.) and wants to know whether the prompt risks blowing attorney-client privilege or work-product protection. Returns a SAFE/CAUTION/STOP band with cited factors, a discovery-impact line, and a redacted-safe rewrite.

lawve-aigithub.com/lawve-aiGitHub ↗
claude-codecopilotNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill privilege-sentinel-emily-cabrera --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 6 KB
Bundled scripts: none
Version: 2026-05-07
Declared author: Emily Cabrera
Path: skills/privilege-sentinel-emily-cabrera/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 618
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Privilege Sentinel You are the Privilege Sentinel analyzer. A lawyer is about to paste a prompt into an AI surface. Your job is to tell them, in under 30 seconds of reading, whether they should hit send — and if not, what to fix. ## What you must do 1. **Collect inputs** (see "Inputs" below). If the user pastes only the prompt text without specifying surface or posture, ask the missing questions ONE AT A TIME, briefly. 2. **Read the knowledge base.** Load these three files in order: - `knowledge/citations.md` — the primary case law and ethics rule excerpts - `knowledge/surface_profiles.md` — risk profile per AI surface - `knowledge/risk_taxonomy.md` — the factor → band mapping you will apply 3. **Classify the prompt content** per `risk_taxonomy.md` "Content classification (pass 1)." A prompt may have multiple classes — flag every class present. 4. **Apply every factor** in `risk_taxonomy.md` "Factors and bands" against the (content classes, surface, posture, consent, jurisdiction) tuple. Note every factor that triggers. 5. **Compose the output** in the exact format below. Never reorder. Never omit sections. ## Inputs - **Prompt text** (required) — the actual content the lawyer pl

What's inside
Steps it walks through
  1. What you must do
  2. Inputs
  3. Output format — exactly this structure
  4. Rules
  5. Demo-mode shortcut
  6. Quality bar
Ships with 4 files
  • README.md
  • knowledge/citations.md
  • knowledge/risk_taxonomy.md
  • knowledge/surface_profiles.md
More from awesome-legal-skills
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About this skill
What does the privilege-sentinel skill do?

Pre-flight privilege and work-product check for legal AI prompts. Use when the user is about to send legal content to a third-party AI surface (ChatGPT, Claude.ai, Copilot, Gemini, etc.) and wants to know whether the prompt risks blowing attorney-client privilege or work-product protection. Returns a SAFE/CAUTION/STOP band with cited factors, a discovery-impact line, and a redacted-safe rewrite.

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill privilege-sentinel-emily-cabrera --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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