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 agentmods add instructions/zk-armor/mcp-sphinx-docs/copilot-instructionsgit clone --depth 1 https://github.com/zk-armor/mcp-sphinx-docsWrote 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/instructions/zk-armor/mcp-sphinx-docs/copilot-instructions)<a href="https://agentmods.dev/instructions/zk-armor/mcp-sphinx-docs/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zk-armor/mcp-sphinx-docs/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00340 | $0.00340 |
| Opus 5 | $0.00170 | $0.00170 |
| Sonnet 5 | $0.00068 | $0.00068 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade C, and why
mcp-sphinx-docs copilot-instructions.md scanned grade C with 1 finding 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Use this file to provide workspace-specific custom instructions to Copilot. For more details, visit https://code.visualstudio.com/docs/copilot/copilot-customization#_use-a-githubcopilotinstructionsmd-file --> What it actually says
Copilot Instructions for Sphinx to LLM Markdown MCP Server
You can find more info and examples at https://modelcontextprotocol.io/llms-full.txt
Project Context
This is a Model Context Protocol (MCP) server that converts Sphinx documentation to LLM-optimized Markdown. The server provides tools to:
- Parse Sphinx RST files - Extract content from reStructuredText files
- Convert to Markdown - Transform RST syntax to clean Markdown
- Optimize for LLMs - Apply formatting and chunking for better LLM consumption
- Handle References - Process internal links and cross-references
Architecture Guidelines
- Use TypeScript with strict typing
- Follow MCP SDK patterns from https://github.com/modelcontextprotocol/create-python-server
- Implement modular converters for different RST elements
- Use streaming for large document processing
- Implement proper error handling and validation
Key Components
- RST Parser: Parse reStructuredText syntax and directives
- Markdown Writer: Generate clean, consistent Markdown output
- LLM Optimizer: Apply transformations for better LLM consumption
- Chunker: Split large documents intelligently
- Reference Resolver: Handle internal links and cross-references
Code Style
- Use descriptive function and variable names
- Add comprehensive JSDoc comments
- Implement robust error handling
- Use Zod for input validation
- Follow MCP server conventions
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.
- 4d ago First seen · 35 lines · 340 tokens per session scan C 275d6d271113
mcp-sphinx-docs copilot-instructions.md is an instructions file published in the GitHub repository zk-armor/mcp-sphinx-docs (2 stars, last pushed 1y ago), licensed MIT. It adds 340 tokens to every session, about $0.0017 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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