Borrowing it
Nothing to install: this file belongs to istarwyh/mcpadvisor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/istarwyh/mcpadvisor/main/.claude/commands/BMad/tasks/advanced-elicitation.mdgit clone --depth 1 https://github.com/istarwyh/mcpadvisorWrote 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.
[](https://agentmods.dev/commands/istarwyh/mcpadvisor/advanced-elicitation)<a href="https://agentmods.dev/commands/istarwyh/mcpadvisor/advanced-elicitation"><img src="https://agentmods.dev/badge/commands/istarwyh/mcpadvisor/advanced-elicitation/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.
<a href="https://agentmods.dev/commands/istarwyh/mcpadvisor/advanced-elicitation"><img src="https://agentmods.dev/badge/commands/istarwyh/mcpadvisor/advanced-elicitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01002 |
| Opus 5.5 | $0.00000 | $0.00401 |
| Sonnet 5.5 | $0.00000 | $0.00200 |
| Haiku 4.5 | $0.00000 | $0.00100 |
Grade A, and why
advanced-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 9d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- advanced-elicitation — 100% identical, 0 lines differ
- advanced-elicitation — 97% identical, 2 lines differ
- advanced-elicitation — 97% identical, 2 lines differ
- advanced-elicitation — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/advanced-elicitation Task
When this command is used, execute the following task:
Advanced Elicitation Task
Purpose
- Provide optional reflective and brainstorming actions to enhance content quality
- Enable deeper exploration of ideas through structured elicitation techniques
- Support iterative refinement through multiple analytical perspectives
- Usable during template-driven document creation or any chat conversation
Usage Scenarios
Scenario 1: Template Document Creation
After outputting a section during document creation:
- Section Review: Ask user to review the drafted section
- Offer Elicitation: Present 9 carefully selected elicitation methods
- Simple Selection: User types a number (0-8) to engage method, or 9 to proceed
- Execute & Loop: Apply selected method, then re-offer choices until user proceeds
Scenario 2: General Chat Elicitation
User can request advanced elicitation on any agent output:
- User says "do advanced elicitation" or similar
- Agent selects 9 relevant methods for the context
- Same simple 0-9 selection process
Task Instructions
1. Intelligent Method Selection
Context Analysis: Before presenting options, analyze:
- Content Type: Technical specs, user stories, architecture, requirements, etc.
- Complexity Level: Simple, moderate, or complex content
- Stakeholder Needs: Who will use this information
- Risk Level: High-impact decisions vs routine items
- Creative Potential: Opportunities for innovation or alternatives
Method Selection Strategy:
-
Always Include Core Methods (choose 3-4):
- Expand or Contract for Audience
- Critique and Refine
- Identify Potential Risks
- Assess Alignment with Goals
-
Context-Specific Methods (choose 4-5):
- Technical Content: Tree of Thoughts, ReWOO, Meta-Prompting
- User-Facing Content: Agile Team Perspective, Stakeholder Roundtable
- Creative Content: Innovation Tournament, Escape Room Challenge
- Strategic Content: Red Team vs Blue Team, Hindsight Reflection
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.
- 9d ago First seen · 122 lines · 0 tokens per session scan A e8926a566222
advanced-elicitation is a command published in the GitHub repository istarwyh/mcpadvisor (89 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,002 tokens. 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 2026-10-12.
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