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.
git clone --depth 1 https://github.com/rweisssieker-xp/GBL-CREO-WINDCHILL-MCPWrote 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/rules/rweisssieker-xp/gbl-creo-windchill-mcp/advanced-elicitation)<a href="https://agentmods.dev/rules/rweisssieker-xp/gbl-creo-windchill-mcp/advanced-elicitation"><img src="https://agentmods.dev/badge/rules/rweisssieker-xp/gbl-creo-windchill-mcp/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/rules/rweisssieker-xp/gbl-creo-windchill-mcp/advanced-elicitation"><img src="https://agentmods.dev/badge/rules/rweisssieker-xp/gbl-creo-windchill-mcp/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 | $0.00009 | $0.01609 |
| Opus 5 | $0.00005 | $0.00805 |
| Sonnet 5 | $0.00002 | $0.00322 |
| Haiku 4.5 | $0.00001 | $0.00161 |
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 7d 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.
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.
MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER DO NOT skip steps or change the sequence HALT immediately when halt-conditions are met Each action xml tag within step xml tag is a REQUIRED action to complete that step Sections outside flow (validation, output, critical-context) provide essential context - review and apply throughout execution
<csv-structure>
<i>category: Method grouping (core, structural, risk, etc.)</i>
<i>method_name: Display name for the method</i>
<i>description: Rich explanation of what the method does, when to use it, and why it's valuable</i>
<i>output_pattern: Flexible flow guide using → arrows (e.g., "analysis → insights → action")</i>
</csv-structure>
<context-analysis>
<i>Use conversation history</i>
<i>Analyze: content type, complexity, stakeholder needs, risk level, and creative potential</i>
</context-analysis>
<smart-selection>
<i>1. Analyze context: Content type, complexity, stakeholder needs, risk level, creative potential</i>
<i>2. Parse descriptions: Understand each method's purpose from the rich descriptions in CSV</i>
<i>3. Select 5 methods: Choose methods that best match the context based on their descriptions</i>
<i>4. Balance approach: Include mix of foundational and specialized techniques as appropriate</i>
</smart-selection>
</step>
<step n="2" title="Present Options and Handle Responses">
<format>
**Advanced Elicitation Options (If you launched Party Mode, they will participate randomly)**
Choose a number (1-5), [r] to Reshuffle, [a] List All, or [x] to Proceed:
1. [Method Name]
2. [Method Name]
3. [Method Name]
4. [Method Name]
5. [Method Name]
r. Reshuffle the list with 5 new options
a. List all methods with descriptions
x. Proceed / No Further Actions
</format>
<response-handling>
<case n="1-5">
<i>Execute the selected method using its description from the CSV</i>
<i>Adapt the method's complexity and output format based on the current context</i>
<i>Apply the method creatively to the current section content being enhanced</i>
<i>Display the enhanced version showing what the method revealed or improved</i>
<i>CRITICAL: Ask the user if they would like to apply the changes to the doc (y/n/other) and HALT to await response.</i>
<i>CRITICAL: ONLY if Yes, apply the changes. IF No, discard your memory of the proposed changes. If any other reply, try best to
follow the instructions given by the user.</i>
<i>CRITICAL: Re-present the same 1-5,r,x prompt to allow additional elicitations</i>
</case>
<case n="r">
<i>Select 5 random methods from advanced-elicitation-methods.csv, present new list with same prompt format</i>
<i>When selecting, try to think and pick a diverse set of methods covering different categories and approaches, with 1 and 2 being
potentially the most useful for the document or section being discovered</i>
</case>
<case n="x">
<i>Complete elicitation and proceed</i>
<i>Return the fully enhanced content back to create-doc.md</i>
<i>The enhanced content becomes the final version for that section</i>
<i>Signal completion back to create-doc.md to continue with next section</i>
</case>
<case n="a">
<i>List all methods with their descriptions from the CSV in a compact table</i>
<i>Allow user to select any method by name or number from the full list</i>
<i>After selection, execute the method as described in the n="1-5" case above</i>
</case>
<case n="direct-feedback">
<i>Apply changes to current section content and re-present choices</i>
</case>
<case n="multiple-numbers">
<i>Execute methods in sequence on the content, then re-offer choices</i>
</case>
</response-handling>
</step>
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.
- 7d ago First seen · 122 lines · 1,609 tokens per session scan A 01a5efcbc6d3
advanced-elicitation is a cursor rule published in the GitHub repository rweisssieker-xp/GBL-CREO-WINDCHILL-MCP (4 stars, last pushed 9mo ago), licensed MIT. It adds 9 tokens to every session and 1,609 once invoked, about $0.0000 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 2026-09-03.
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