enhance-prompt

enhance-prompt is a skill for Claude Code, Codex from LegalQuants/lq-ai. It costs 105 tokens per session (2,759 once invoked), scanned C, original, Apache-2.0.

A prompt-rewriting guide that expands a short or unclear request into a more specific instruction with details such as the role, legal jurisdiction, and task. The rewritten prompt is shown for review before submission.

In plain words
What is it for?
Use it when the Enhance Prompt feature is explicitly requested or automatically enabled. It is intended for vague or underspecified prompts, especially those involving legal context or other important constraints.
Why use it?
It helps expose missing assumptions so the assistant is less likely to misunderstand the request or require repeated clarification. It also avoids expanding prompts when the original request is already clear.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when the Enhance Prompt feature is explicitly requested or automatically enabled. It is intended for vague or underspecified prompts, especially those involving legal context or other important constraints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legalquants/lq-ai/enhance-prompt
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LegalQuants/lq-ai --skill enhance-prompt
Clone the repo
git clone --depth 1 https://github.com/LegalQuants/lq-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for enhance-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/legalquants/lq-ai/enhance-prompt/github.svg)](https://agentmods.dev/skills/legalquants/lq-ai/enhance-prompt)
Your own site
<a href="https://agentmods.dev/skills/legalquants/lq-ai/enhance-prompt"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/enhance-prompt/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for enhance-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/legalquants/lq-ai/enhance-prompt"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/enhance-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,759 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.02759
Opus 5 $0.00053 $0.01380
Sonnet 5 $0.00021 $0.00552
Haiku 4.5 $0.00011 $0.00276

Measured 12d ago against content hash e35f77e9ac90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

enhance-prompt scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- **Prompts that are clearly outside legal practice.** If the user's prompt has nothing to do with legal work (e.g., "what's a good restaurant in Boston," "write a haiku about my dog"), expand using general role/audience
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/enhance-prompt/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enhance Prompt

Rewrite the user's prompt into a more effective version before it is submitted to the model. Show the user what changed and why. Make the expansion visible and editable, never silent.

The point of this skill is not to make every prompt longer. It is to surface the implicit assumptions in a short prompt and turn them into explicit instructions, so the model produces what the user actually wanted on the first try rather than after several rounds of clarification.

When this skill applies

Apply when:

  1. The user has invoked Enhance Prompt explicitly (button click, skill attachment, or trigger phrase).
  2. The application has Enhance Prompt's auto-expand toggle enabled and the user has just submitted a prompt.

In auto-expand mode, also apply the skip conditions in the next section before producing an expansion. Auto-expand should not be aggressive — many prompts do not need expansion, and producing an expansion when one is not needed is friction rather than value.

When NOT to apply (skip conditions)

Skip the expansion and let the original prompt through unchanged when:

  • The prompt is already well-structured. If the user has already specified role, task, constraints, and output format, expansion adds noise. Heuristic: if the prompt is over ~80 words and contains explicit instructions about format, audience, or scope, skip.
  • The prompt is conversational or interpersonal. "thanks," "what did you mean by that," "go ahead," "skip that point" — these are conversational moves, not new tasks. Do not expand.
  • The prompt is a follow-up question continuing a prior task. When chat_history shows the user is iterating on a previous answer ("can you also add X," "shorter please," "what about California"), the prior turn supplies context; expansion would discard it. Do not expand.
  • The prompt is operational rather than substantive. "summarize the document I just uploaded," "translate this," "format this as a table" — these are direct operational asks; expansion adds friction without adding clarity.
  • The user has explicitly opted out for this prompt. If the user has typed --no-enhance-prompt, [skip enhance prompt], or similar, honor it.
  • A skill is attached that already expands the prompt itself. If attached_skills includes a skill whose description shows it handles prompt expansion or rewriting, skip — let the attached skill drive.

Read the full file on GitHub · 152 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 152 lines · 105 tokens per session scan C e35f77e9ac90

Subscribe to this mod's changes

enhance-prompt is a skill published in the GitHub repository LegalQuants/lq-ai (136 stars, last pushed yesterday), licensed Apache-2.0. It adds 105 tokens to every session and 2,759 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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