mcp-server-trello: Skill for Claude Code

.agent/skills/bmad-dev-auto/SKILL.md

bmad-dev-auto is a skill for Claude Code, Codex from delorenj/mcp-server-trello. It costs 19 tokens per session (1,591 once invoked), scanned A, original, MIT.

An unattended development workflow that takes a software task through implementation and produces a reviewable result. It also handles story files and records the outcome when work stops or cannot continue.

In plain words
What is it for?
Use it for repeatable, hands-off work on planned development stories, including writing the result back to the correct story file.
Why use it?
It removes the need to manually coordinate each step of a development task. It can report blocking conditions instead of silently losing unfinished work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

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/.agent/skills/bmad-dev-auto/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-dev-auto

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-dev-auto"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-dev-auto.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,591 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 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 $0.00019 $0.01591
Opus 5.5 $0.00008 $0.00636
Sonnet 5.5 $0.00004 $0.00318
Haiku 4.5 $0.00002 $0.00159

Measured 1mo ago against content hash 468d40aae3cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bmad-dev-auto 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.

.agent/skills/bmad-dev-auto/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dev Auto Workflow

Goal: Turn intent into a hardened, reviewable artifact, without human interaction.

CRITICAL: If a step says "read fully and follow step-XX", you read and follow step-XX. No exceptions.

HALT

To HALT with a final status and optional blocking condition:

  1. Folder+id dispatch ({spec_folder} and {story_id} are set): the write-back always lands at the id-keyed story spec. The {implementation_artifacts} fallback in step 2 below is never used in this mode, even for halts before planning starts.
    • If {spec_file} is still empty, resolve it now:
      • Entry not resolved (stories.yaml is missing/unparseable, or {story_id} has no matching entry): use the fixed slug segment unresolved: {spec_file} = {spec_folder}/stories/{story_id}-unresolved.md.
      • Ambiguous on-disk match (the halt is ambiguous story file match — more than one file already matches {spec_folder}/stories/{story_id}-*.md): use the fixed slug segment ambiguous instead of deriving from the title, so the write-back neither creates a third title-derived candidate nor risks silently landing on one of the existing ambiguous files: {spec_file} = {spec_folder}/stories/{story_id}-ambiguous.md.
      • Otherwise (the entry was resolved and no ambiguous on-disk match exists): derive {spec_file} = {spec_folder}/stories/{story_id}-{slug}.md, where {slug} is a kebab-case slug from title (and description if needed) with no {story_id} prefix — the same derivation step-01's Route uses.
    • If {spec_file} exists on disk, update status in frontmatter and append missing result details under ## Auto Run Result.
    • If it does not exist, create it as a skeletal story spec:
      ---
      status: <final status>
      ---
      
      # <entry title, or "Story {story_id}" if the entry could not be resolved or the on-disk match was ambiguous>
      
      ## Auto Run Result
      
      Status: <final status>
      Blocking condition: <blocking condition, if any>
      
  2. Otherwise:
    • If {spec_file} is known and exists, update status in frontmatter and append missing result details under ## Auto Run Result.
    • If {spec_file} is unknown or missing, create {implementation_artifacts}/bmad-dev-auto-result-<slug-or-timestamp>.md with:
      ---
      status: <final status>
      ---
      
      # BMad Dev Auto Result
      
      Status: <final status>
      Blocking condition: <blocking condition, if any>
      
  3. Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete
  4. If the resolved workflow.on_complete is non-empty, follow it as the final instruction before exiting.
  5. Stop the workflow.

Read the full file on GitHub · 124 lines

Files

What ships with it

7 files 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 · 124 lines · 19 tokens per session scan A 468d40aae3cf

Subscribe to this mod's changes

bmad-dev-auto is a skill published in the GitHub repository delorenj/mcp-server-trello (446 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 1,591 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-16.

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