WigAI: Skill for Claude Code

.claude/skills/bmad-advanced-elicitation/SKILL.md

bmad-advanced-elicitation is a skill for Claude Code from fabb/WigAI. It costs 56 tokens per session (1,266 once invoked), scanned A, a copy of bmad-advanced-elicitation, MIT.

A skill for asking the AI to reconsider, refine, and improve a recent answer. It includes deeper critique approaches such as first-principles analysis, a pre-mortem, and red-team review.

In plain words
What is it for?
Use it when you want a deeper critique, a more rigorous review, or a structured challenge to an existing result.
Why use it?
It helps expose weaknesses or overlooked risks in an answer before you rely on it.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is fabb/WigAI's own configuration. It tells Claude Code how to work on WigAI itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything WigAI configures →

View source ↗ fabb/WigAI
Reuse

Borrowing it

Nothing to install: this file belongs to fabb/WigAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fabb/WigAI/main/.claude/skills/bmad-advanced-elicitation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fabb/WigAI

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Your own site
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Your own site · 80×15
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Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,266 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 88% copy Near-identical to another mod 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 $0.00056 $0.01266
Opus 5.5 $0.00022 $0.00506
Sonnet 5.5 $0.00011 $0.00253
Haiku 4.5 $0.00006 $0.00127

Measured 1mo ago against content hash 1a7396d28ba7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bmad-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 1mo 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.

Origin

This is a copy

88% identical to bmad-advanced-elicitation — 127 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/bmad-advanced-elicitation/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Advanced Elicitation

Goal: Push the LLM to reconsider, refine, and improve its recent output.


CRITICAL LLM INSTRUCTIONS

  • 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 within a step is a REQUIRED action to complete that step
  • Sections outside flow (validation, output, critical-context) provide essential context - review and apply throughout execution
  • YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the communication_language

INTEGRATION (When Invoked Indirectly)

When invoked from another prompt or process:

  1. Receive or review the current section content that was just generated
  2. Apply elicitation methods iteratively to enhance that specific content
  3. Return the enhanced version back when user selects 'x' to proceed and return back
  4. The enhanced content replaces the original section content in the output document

FLOW

Step 1: Method Registry Loading

Action: Load and read ./methods.csv and '{project-root}/_bmad/_config/agent-manifest.csv'

CSV Structure
  • category: Method grouping (core, structural, risk, etc.)
  • method_name: Display name for the method
  • description: Rich explanation of what the method does, when to use it, and why it's valuable
  • output_pattern: Flexible flow guide using arrows (e.g., "analysis -> insights -> action")
Context Analysis
  • Use conversation history
  • Analyze: content type, complexity, stakeholder needs, risk level, and creative potential
Smart Selection
  1. Analyze context: Content type, complexity, stakeholder needs, risk level, creative potential
  2. Parse descriptions: Understand each method's purpose from the rich descriptions in CSV
  3. Select 5 methods: Choose methods that best match the context based on their descriptions
  4. Balance approach: Include mix of foundational and specialized techniques as appropriate

Read the full file on GitHub · 137 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 137 lines · 56 tokens per session scan A 1a7396d28ba7

Subscribe to this mod's changes

bmad-advanced-elicitation is a skill published in the GitHub repository fabb/WigAI (62 stars, last pushed 6d ago), licensed MIT. It adds 56 tokens to every session and 1,266 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to bmad-advanced-elicitation, differing in 127 lines, and is treated as a copy.

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