# Language Trap Detector

> Detect ambiguous, misleading, or false-clarity language that distorts reasoning. Use when a discussion feels persuasive but slippery, or when key terms may be hiding disagreement, category errors, or vague thinking.

- Skill: `alubiama/language-trap-detector` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add alubiama/language-trap-detector`
- Raw SKILL.md: https://api.skillmd.com/api/skills/alubiama/language-trap-detector/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Alubiama (https://skillmd.com/u/alubiama)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/alubiama/language-trap-detector

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# Language Trap Detector

## Goal

Expose where language is creating false clarity or hidden confusion.

This skill does not police wording for style. It finds where terms, categories, or phrasing are distorting the actual reasoning.

## When To Use

- a claim sounds clear but unpacks poorly
- debate is stuck on words rather than substance
- category confusion or vague language may be hiding the real issue

## Scope Boundaries

In scope:

- identify ambiguous or overloaded terms
- detect false precision or false clarity
- restate the issue in cleaner language

Out of scope by default:

- copyediting for tone
- full philosophical analysis

## Workflow

1. State the key sentence or claim.
2. Identify the terms carrying the reasoning.
3. Check for ambiguity, category errors, or vague success words.
4. Restate the claim more cleanly.
5. Name what question becomes clearer after the rewrite.

## Output Contract

1. `target_language`
2. `trap_terms`
3. `trap_type`
4. `clean_restatement`
5. `what_is_clearer_now`
6. `recommended_followup`
7. `next_step`

## Guardrails

- Do not nitpick harmless wording.
- Focus on language that changes the reasoning or decision.
- Prefer cleaner framing over jargon policing.