shard-doc

shard-doc is a command for Claude Code from terryso/AutoQA-Agent. It costs 19 tokens per session (58 once invoked), scanned A, original, MIT.

A command for splitting a large Markdown document into smaller files using its level-two headings by default.

In plain words
What is it for?
Use it to divide a large Markdown file into smaller, structured documents.
Why use it?
It makes long documents easier to organize and work with as separate sections.

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/terryso/autoqa-agent/shard-doc
Clone the repo
git clone --depth 1 https://github.com/terryso/AutoQA-Agent

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/terryso/autoqa-agent/shard-doc.svg)](https://agentmods.dev/commands/terryso/autoqa-agent/shard-doc)
Your own site
<a href="https://agentmods.dev/commands/terryso/autoqa-agent/shard-doc"><img src="https://agentmods.dev/badge/commands/terryso/autoqa-agent/shard-doc.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 58 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 $0.00019 $0.00058
Opus 5 $0.00010 $0.00029
Sonnet 5 $0.00004 $0.00012
Haiku 4.5 $0.00002 $0.00006

Measured 3d ago against content hash b511f0ce0322, 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 3d 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/core/tools/shard-doc.md · 10 lines

What it actually says

Shard Document

LOAD and execute the tool at: _bmad/core/tools/shard-doc.xml

Follow all instructions in the tool file exactly as written.

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. 3d ago First seen · 10 lines · 19 tokens per session scan A b511f0ce0322

Subscribe to this mod's changes

shard-doc is a command published in the GitHub repository terryso/AutoQA-Agent (134 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 58 once invoked, about $0.0001 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.