mcp-server-trello: Skill for Claude Code

.agent/skills/bmad-editorial-review-prose/SKILL.md

bmad-editorial-review-prose is a skill for Claude Code, Codex from delorenj/mcp-server-trello. It costs 16 tokens per session (116 once invoked), scanned A, original, MIT.

A text review workflow that finds wording problems that make writing harder to understand and suggests fixes in a three-column table.

In plain words
What is it for?
Use it to review Markdown, plain text, or text-heavy XML for unclear wording. You can also provide a project style guide or specify whether the reader is a person or an AI model.
Why use it?
It helps separate genuine communication problems from personal style preferences, so edits stay focused on clarity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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-editorial-review-prose/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-editorial-review-prose

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-editorial-review-prose"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-editorial-review-prose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 116 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 $0.00016 $0.00116
Opus 5.5 $0.00006 $0.00046
Sonnet 5.5 $0.00003 $0.00023
Haiku 4.5 $0.00002 $0.00012

Measured 1mo ago against content hash 153e7b0a240c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bmad-editorial-review-prose 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

Copies of this mod

8 near-identical copies found in the catalogue:

.agent/skills/bmad-editorial-review-prose/SKILL.md · 7 lines

What it actually says

Merged into bmad-review. Invoke the bmad-review skill on the same content with only the prose lens, passing through the same inputs and any also_consider areas. Present the findings in the legacy shape: a three-column markdown table | Original Text | Revised Text | Changes | — no Pass column, no preamble above the table. If no issues are found, output exactly: No editorial issues identified.

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 Changed · -80 lines · -13 tokens per session 153e7b0a240c
  2. 1mo ago First seen · 87 lines · 29 tokens per session scan A b3687fe80567

Subscribe to this mod's changes

bmad-editorial-review-prose is a skill published in the GitHub repository delorenj/mcp-server-trello (447 stars, last pushed 12d ago), licensed MIT. It adds 16 tokens to every session and 116 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 2026-08-30.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens