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.
npx skills add mmornati/leanproxy-mcp --skill bmad-shard-docgit clone --depth 1 https://github.com/mmornati/leanproxy-mcpWrote 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/mmornati/leanproxy-mcp/bmad-shard-doc)<a href="https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/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/mmornati/leanproxy-mcp/bmad-shard-doc"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/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 mmornati/leanproxy-mcp (5 stars, last pushed 1mo 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.
Other skills, from other repositories
migrate-goldmark-extension-v1-to-v2
Migrate goldmark extension from goldmark v1 to v2.
md-to-pdf
Convert Markdown to styled PDFs with Mermaid diagrams, LaTeX/KaTeX math, tables, and code highlighting. Triggers on: "convert markdown to pdf", "make a pdf from this md", "export markdown as pdf", "pdf from markdown with equations".
pi-loop-forensics
Diagnose pi-go agent loops and degenerate turns — "agent loop aborted", runaway thinking with no tool calls, repeated phrases. Discriminates genuine model repetition collapse from a race, a tool-parse failure, or a too-low guard, and A/B replays a seed session across providers.
nightly-session-watch
Nightly sweep of the last 24h of pi-go sessions — anomalous runs, loop aborts, tool error rates, token waste, real prompt-token spend, and whether the observation and palace pipelines are still recording. Triages each finding to the specialist skill that diagnoses it. Use for an unattended daily health check, or on…
memory-mine
Mine project files or conversations into the MemPalace memory system. Indexes source code and conversation history as searchable palace drawers with semantic embeddings and room assignment.
tui-render-debug
Diagnose and fix pi-go TUI rendering corruption, especially displaced panels, stale rows, cursor drift, and terminal-specific ANSI incompatibilities.