mcp-server-trello: Skill for Claude Code

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

bmad-advanced-elicitation is a skill for Claude Code, Codex from delorenj/mcp-server-trello. It costs 56 tokens per session (1,396 once invoked), scanned A, original, MIT.

A guided critique process that makes an AI reconsider and improve its recent answer. It includes methods such as asking probing questions, reasoning from basic principles, anticipating failures, and testing an idea from an opposing viewpoint.

In plain words
What is it for?
Use it to deepen a proposal, review, plan, or explanation. It can apply a selected critique method to recently generated content and return an improved version.
Why use it?
It helps reveal weak assumptions, missed risks, and shallow conclusions in an existing response. This is useful when a first draft needs deeper examination rather than simple editing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is delorenj/mcp-server-trello's own configuration. It tells Claude Code and Codex how to work on mcp-server-trello 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 mcp-server-trello configures →

Reuse

Borrowing it

Nothing to install: this file belongs to delorenj/mcp-server-trello. 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/delorenj/mcp-server-trello/main/.agents/skills/bmad-advanced-elicitation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/delorenj/mcp-server-trello

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 bmad-advanced-elicitation

README.md
[![agentmods](https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-advanced-elicitation/github.svg)](https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-advanced-elicitation)
Your own site
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/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.

agentmods 80×15 button for bmad-advanced-elicitation

Your own site · 80×15
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-advanced-elicitation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,396 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00056 $0.01396
Opus 5 $0.00028 $0.00698
Sonnet 5 $0.00011 $0.00279
Haiku 4.5 $0.00006 $0.00140

Measured 11d ago against content hash 705cc827cab8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.agents/skills/bmad-advanced-elicitation/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 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 ./methods.csv for elicitation methods. If party-mode may participate, resolve the agent roster via:

python3 {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key agents

The resolver merges four layers in order: _bmad/config.toml (installer base, team-scoped), _bmad/config.user.toml (installer base, user-scoped), _bmad/custom/config.toml (team overrides), and _bmad/custom/config.user.toml (personal overrides). Each entry under agents is keyed by the agent's code and carries name, title, icon, description, module, and team.

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")

Read the full file on GitHub · 143 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. 11d ago First seen · 143 lines · 56 tokens per session scan A 705cc827cab8

Subscribe to this mod's changes

bmad-advanced-elicitation is a skill published in the GitHub repository delorenj/mcp-server-trello (437 stars, last pushed 13d ago), licensed MIT. It adds 56 tokens to every session and 1,396 once invoked, about $0.0003 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 2026-08-30.

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