shard-doc

shard-doc is a command for Claude Code from gonewx/TaskSentinel. It costs 0 tokens per session (1,362 once invoked), scanned A, original, MIT.

A command for splitting a large Markdown document into smaller documents based on its level-two headings.

In plain words
What is it for?
Use it to break a large Markdown file into a folder of section-based documents, following the repository’s configured automatic sharding method.
Why use it?
It helps organize a long document into separate files while keeping its text, code blocks, diagrams, and Markdown formatting intact.

Command for Claude Code

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.

agentmods
npx agentmods add commands/gonewx/tasksentinel/shard-doc
Clone the repo
git clone --depth 1 https://github.com/gonewx/TaskSentinel

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 shard-doc

README.md
[![agentmods](https://agentmods.dev/badge/commands/gonewx/tasksentinel/shard-doc.svg)](https://agentmods.dev/commands/gonewx/tasksentinel/shard-doc)
Your own site
<a href="https://agentmods.dev/commands/gonewx/tasksentinel/shard-doc"><img src="https://agentmods.dev/badge/commands/gonewx/tasksentinel/shard-doc.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,362 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01362
Opus 5 $0.00000 $0.00681
Sonnet 5 $0.00000 $0.00272
Haiku 4.5 $0.00000 $0.00136

Measured 4d ago against content hash 3399a65a549f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 4d 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

3 near-identical copies found in the catalogue:

.claude/commands/BMad/tasks/shard-doc.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/shard-doc Task

When this command is used, execute the following task:

Document Sharding Task

Purpose

  • Split a large document into multiple smaller documents based on level 2 sections
  • Create a folder structure to organize the sharded documents
  • Maintain all content integrity including code blocks, diagrams, and markdown formatting

Primary Method: Automatic with markdown-tree

[[LLM: First, check if markdownExploder is set to true in .bmad-core/core-config.yaml. If it is, attempt to run the command: md-tree explode {input file} {output path}.

If the command succeeds, inform the user that the document has been sharded successfully and STOP - do not proceed further.

If the command fails (especially with an error indicating the command is not found or not available), inform the user: "The markdownExploder setting is enabled but the md-tree command is not available. Please either:

  1. Install @kayvan/markdown-tree-parser globally with: npm install -g @kayvan/markdown-tree-parser
  2. Or set markdownExploder to false in .bmad-core/core-config.yaml

IMPORTANT: STOP HERE - do not proceed with manual sharding until one of the above actions is taken."

If markdownExploder is set to false, inform the user: "The markdownExploder setting is currently false. For better performance and reliability, you should:

  1. Set markdownExploder to true in .bmad-core/core-config.yaml
  2. Install @kayvan/markdown-tree-parser globally with: npm install -g @kayvan/markdown-tree-parser

I will now proceed with the manual sharding process."

Then proceed with the manual method below ONLY if markdownExploder is false.]]

Installation and Usage

  1. Install globally:

    npm install -g @kayvan/markdown-tree-parser
    
  2. Use the explode command:

    # For PRD
    md-tree explode docs/prd.md docs/prd
    
    # For Architecture
    md-tree explode docs/architecture.md docs/architecture
    
    # For any document
    md-tree explode [source-document] [destination-folder]
    

Read the full file on GitHub · 190 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. 4d ago First seen · 190 lines · 0 tokens per session scan A 3399a65a549f

Subscribe to this mod's changes

shard-doc is a command published in the GitHub repository gonewx/TaskSentinel (18 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,362 tokens. 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.