rich-elicitation

rich-elicitation is a skill for Claude Code, Codex from CyberZenithX/Rich-Elicitation-Skill. It costs 124 tokens per session (1,167 once invoked), scanned A, original, MIT.

A questioning guide for tasks with unclear requirements, several valid approaches, or personal preferences. It helps an agent gather the information needed before choosing how to proceed.

In plain words
What is it for?
Use it when planning projects, making technical or design choices, writing content, or deciding scope where the desired result is not yet clear.
Why use it?
Vague requests can produce work that is technically correct but unsuitable or incomplete. This reduces guesswork by asking focused questions and presenting meaningful options.

Skill for Claude CodeCodex

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

Good fit Use it when planning projects, making technical or design choices, writing content, or deciding scope where the desired result is not yet clear.

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Install with agentmods
npx agentmods add skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill
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 CyberZenithX/Rich-Elicitation-Skill --skill rich-elicitation-skill
Clone the repo
git clone --depth 1 https://github.com/CyberZenithX/Rich-Elicitation-Skill

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 rich-elicitation

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill/github.svg)](https://agentmods.dev/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill)
Your own site
<a href="https://agentmods.dev/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill"><img src="https://agentmods.dev/badge/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill/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 rich-elicitation

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill"><img src="https://agentmods.dev/badge/skills/cyberzenithx/rich-elicitation-skill/rich-elicitation-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,167 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00124 $0.01167
Opus 5 $0.00062 $0.00583
Sonnet 5 $0.00025 $0.00233
Haiku 4.5 $0.00012 $0.00117

Measured 11d ago against content hash 081cfafe5f05, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

rich-elicitation scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rich Elicitation Skill

This skill governs how Claude asks clarifying questions before and during tasks. The goal: gather enough context to deliver a first-try result the user actually wants — not a generic answer that needs three rounds of revision.


Core Principles

  1. Ask more, assume less. If a task has multiple valid interpretations, ask. Don't silently pick one and hope for the best.
  2. More options = more signal. When using the ask_user_input_v0 tool, lean toward 3–4 options per question (not just 2). Real decisions rarely have only two sides. Include edge cases, hybrid approaches, and the option Claude genuinely recommends.
  3. Always mark your recommendation. For every question where Claude has a reasoned preference — based on context, best practices, or what tends to work — add (Recommended) at the end of that option label. Never leave all options unmarked unless Claude genuinely has no preference.
  4. Group related questions. Ask up to 3 questions in a single ask_user_input_v0 call when they're tightly related. Don't fire off 6 separate question prompts.
  5. Lead with a short framing sentence. Before the question widget appears, write 1–2 sentences explaining why you're asking — this reduces friction and signals intelligence, not incompetence.

Question Design Rules

Option Labels

  • Keep labels short (3–8 words)
  • Make each option meaningfully distinct — no near-duplicates
  • Append (Recommended) directly after the label text of the option you'd choose, like so:
    • "Full redesign from scratch (Recommended)"
    • "Refine the current version"
    • "Mix: keep structure, update visuals"
  • Recommend at most one option per question — if two are equally valid, pick the one that serves most users or is lowest-risk

Question Types

  • Use single_select for mutually exclusive choices (tone, format, scope)
  • Use multi_select when combinations are valid (e.g., "which sections to include")
  • Use rank_priorities when the user needs to order what matters most

Read the full file on GitHub · 132 lines

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. 11d ago First seen · 132 lines · 124 tokens per session scan A 081cfafe5f05

Subscribe to this mod's changes

rich-elicitation is a skill published in the GitHub repository CyberZenithX/Rich-Elicitation-Skill (8 stars, last pushed 4mo ago), licensed MIT. It adds 124 tokens to every session and 1,167 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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