bmad-shard-doc

bmad-shard-doc is a skill for Claude Code from zsutxz/ClaudeLearning. It costs 34 tokens per session (929 once invoked), scanned A, a copy of bmad-shard-doc, MIT.

A workflow that splits a large Markdown document into smaller files organized by its level-two sections. Markdown is a plain-text format commonly used for technical documentation.

In plain words
What is it for?
Use it to shard a Markdown document into organized files based on its headings.
Why use it?
It makes a large document easier to navigate, maintain, and work with as separate sections.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to shard a Markdown document into organized files based on its headings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zsutxz/claudelearning/bmad-shard-doc
Install

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.

Any agent
npx skills add zsutxz/ClaudeLearning --skill bmad-shard-doc
Clone the repo
git clone --depth 1 https://github.com/zsutxz/ClaudeLearning

Made for: Claude Code.

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-shard-doc

README.md
[![agentmods](https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-shard-doc/github.svg)](https://agentmods.dev/skills/zsutxz/claudelearning/bmad-shard-doc)
Your own site
<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-shard-doc/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-shard-doc

Your own site · 80×15
<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-shard-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 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 100% 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 $0.00034 $0.00929
Opus 5 $0.00017 $0.00464
Sonnet 5 $0.00007 $0.00186
Haiku 4.5 $0.00003 $0.00093

Measured 7d ago against content hash 3a1538536514, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

bmad-shard-doc 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 7d 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

100% identical to bmad-shard-doc — 0 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-shard-doc/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Shard Document

Goal: Split large markdown documents into smaller, organized files based on level 2 sections using npx @kayvan/markdown-tree-parser.

CRITICAL RULES

  • MANDATORY: Execute ALL steps in the EXECUTION 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

EXECUTION

Step 1: Get Source Document

  • Ask user for the source document path if not provided already
  • Verify file exists and is accessible
  • Verify file is markdown format (.md extension)
  • If file not found or not markdown: HALT with error message

Step 2: Get Destination Folder

  • Determine default destination: same location as source file, folder named after source file without .md extension
    • Example: /path/to/architecture.md --> /path/to/architecture/
  • Ask user for the destination folder path ([y] to confirm use of default: [suggested-path], else enter a new path)
  • If user accepts default: use the suggested destination path
  • If user provides custom path: use the custom destination path
  • Verify destination folder exists or can be created
  • Check write permissions for destination
  • If permission denied: HALT with error message

Step 3: Execute Sharding

  • Inform user that sharding is beginning
  • Execute command: npx @kayvan/markdown-tree-parser explode [source-document] [destination-folder]
  • Capture command output and any errors
  • If command fails: HALT and display error to user

Step 4: Verify Output

  • Check that destination folder contains sharded files
  • Verify index.md was created in destination folder
  • Count the number of files created
  • If no files created: HALT with error message

Step 5: Report Completion

  • Display completion report to user including:
    • Source document path and name
    • Destination folder path
    • Number of section files created
    • Confirmation that index.md was created
    • Any tool output or warnings
  • Inform user that sharding completed successfully

Read the full file on GitHub · 106 lines

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. 7d ago First seen · 106 lines · 34 tokens per session scan A 3a1538536514

Subscribe to this mod's changes

bmad-shard-doc is a skill published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 929 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to bmad-shard-doc, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

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

obra/superpowers · 21 tokens

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

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

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

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens