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.
npx skills add kksudo/AgentFS --skill bmad-advanced-elicitationgit clone --depth 1 https://github.com/kksudo/AgentFSWrote 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/skills/kksudo/agentfs/bmad-advanced-elicitation)<a href="https://agentmods.dev/skills/kksudo/agentfs/bmad-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/kksudo/agentfs/bmad-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/skills/kksudo/agentfs/bmad-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/kksudo/agentfs/bmad-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 | $0.00056 | $0.01274 |
| Opus 5.5 | $0.00022 | $0.00510 |
| Sonnet 5.5 | $0.00011 | $0.00255 |
| Haiku 4.5 | $0.00006 | $0.00127 |
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 2mo 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.
This is a copy
89% identical to bmad-advanced-elicitation — 128 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.
How it starts
The opening of the file, as written. The whole thing — 138 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:
- Receive or review the current section content that was just generated
- Apply elicitation methods iteratively to enhance that specific content
- Return the enhanced version back when user selects 'x' to proceed and return back
- 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 {agent_party}
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
- Analyze context: Content type, complexity, stakeholder needs, risk level, creative potential
- Parse descriptions: Understand each method's purpose from the rich descriptions in CSV
- Select 5 methods: Choose methods that best match the context based on their descriptions
- Balance approach: Include mix of foundational and specialized techniques as appropriate
Step 2: Present Options and Handle Responses
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.
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.
- 2mo ago First seen · 138 lines · 56 tokens per session scan A 2d1011b1c93a
bmad-advanced-elicitation is a skill published in the GitHub repository kksudo/AgentFS (1 stars, last pushed 7mo ago), licensed MIT. It adds 56 tokens to every session and 1,274 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to bmad-advanced-elicitation, differing in 128 lines, and is treated as a copy.
bmad-advanced-elicitation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| bmad-advanced-elicitationkksudo/AgentFS | Skill | 1 | 7mo ago | MIT | A | 56 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |