# Ambiguity Report

Turn an interpretive-ambiguity audit of a legal text, contract, statute, regulation...

- Repository: https://github.com/lawve-ai/awesome-legal-skills (919 stars)
- Category: Design
- License: see repository
- Last updated: 2026-10-19
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add lawve-ai/awesome-legal-skills --skill ambiguity-report -g -a claude-code -y`
Codex: `npx skills add lawve-ai/awesome-legal-skills --skill ambiguity-report -g -a codex -y`
Cursor: `npx skills add lawve-ai/awesome-legal-skills --skill ambiguity-report -g -a cursor -y`
Gemini CLI: `npx skills add lawve-ai/awesome-legal-skills --skill ambiguity-report -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add lawve-ai/awesome-legal-skills`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Ambiguity Report

Take an interpretive-ambiguity analysis of a legal text and turn it into a polished deliverable in one of six formats: multi-page website (the default), single-page interactive website, single-file HTML, Microsoft Word document, PowerPoint deck, or LaTeX source for a PDF.

**Before promising a format, know what this host can do.** Four of the six formats have requirements the host may not meet, and discovering that after the spec is built wastes the user's effort. Run the capability check in Stage 3 first.

The skill's central insight: **the data is the same across formats, the rendering is not.** An ambiguity analysis is a set of scenarios, each with a situation, two opposed positions, a weak point in the text, a likely outcome, and a proposed redraft, anchored to provisions of a source text. Once that data is captured in the canonical spec, the right format follows from how the deliverable will be used.

## Workflow

This skill has four stages. Stages 1, 3 are setup; stage 4 is rendering.

The rest: https://github.com/lawve-ai/awesome-legal-skills/blob/HEAD/skills/ambiguity-report-seth-chandler/SKILL.md
