Borrowing it
Nothing to install: this file belongs to fabb/WigAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fabb/WigAI/main/.claude/skills/bmad-shard-doc/SKILL.mdgit clone --depth 1 https://github.com/fabb/WigAIWrote 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.
[](https://agentmods.dev/skills/fabb/wigai/bmad-shard-doc)<a href="https://agentmods.dev/skills/fabb/wigai/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/fabb/wigai/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.
<a href="https://agentmods.dev/skills/fabb/wigai/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/fabb/wigai/bmad-shard-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00929 |
| Opus 5.5 | $0.00014 | $0.00372 |
| Sonnet 5.5 | $0.00007 | $0.00186 |
| Haiku 4.5 | $0.00003 | $0.00093 |
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 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.
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.
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/
- Example:
- 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
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.
- 1mo ago First seen · 106 lines · 34 tokens per session scan A 3a1538536514
bmad-shard-doc is a skill published in the GitHub repository fabb/WigAI (62 stars, last pushed 6d ago), licensed MIT. It adds 34 tokens to every session and 929 once invoked, about $0.0001 per session on Opus 5.5. 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.
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