Borrowing it
Nothing to install: this file belongs to aaronsb/texflow-mcp. 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/aaronsb/texflow-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/aaronsb/texflow-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/instructions/aaronsb/texflow-mcp/claude-md)<a href="https://agentmods.dev/instructions/aaronsb/texflow-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/aaronsb/texflow-mcp/claude-md/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/instructions/aaronsb/texflow-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/aaronsb/texflow-mcp/claude-md.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 | $0.00770 | $0.00770 |
| Opus 5.5 | $0.00308 | $0.00308 |
| Sonnet 5.5 | $0.00154 | $0.00154 |
| Haiku 4.5 | $0.00077 | $0.00077 |
Grade A, and why
texflow-mcp CLAUDE.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TeXFlow MCP Server
Project Overview
TeXFlow is a LaTeX document compiler with an MCP interface. The AI operates on a structured document model (sections, paragraphs, figures, tables) and the server handles all LaTeX mechanics — packages, preamble, compilation.
Two entry flows:
- Scaffold:
document(action="create")→ empty document skeleton → AI builds content viaedittool - Markdown ingest:
document(action="ingest", source="file.md")→ populated model → AI refines layout
Both converge on an in-memory Document model that auto-saves to disk. LaTeX is only ever an output artifact.
Architecture
server.py # FastMCP entry point, 5 tool registrations
texflow/
model.py # Document model dataclasses
serializer.py # Model → .tex generation
ingestion.py # Markdown → model (mistune AST)
compiler.py # .tex → PDF (xelatex subprocess)
tools/
state.py # Shared session state, auto-save
document.py # create, ingest, outline, read
layout.py # configure typesetting
edit.py # insert, replace, delete, move blocks
render.py # compile, preview, tex export
reference.py # LaTeX documentation search
data/
font_map.json # Font name → LaTeX package
class_defaults.json # Document class defaults
latex_reference/ # Commands, symbols, packages, errors
tests/
test_model.py
test_serializer.py
test_ingestion.py
test_compiler.py
test_tools.py
fixtures/sample.md
5 MCP Tools
- document — create, ingest, outline, read
- layout — columns, fonts, paper, margins, headers/footers, TOC
- edit — insert/replace/delete/move blocks (section, paragraph, figure, table, code, equation, list, raw)
- render — compile to PDF, preview page as PNG, export .tex
- reference — search commands/symbols, package info, error help, style check, examples
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.
- 2mo ago First seen · 90 lines · 770 tokens per session scan A efbdf2f8127f
texflow-mcp CLAUDE.md is an instructions file published in the GitHub repository aaronsb/texflow-mcp (20 stars, last pushed 8mo ago), licensed MIT. It adds 770 tokens to every session, about $0.0031 per session on Opus 5.5. 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.
texflow-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| texflow-mcp CLAUDE.mdaaronsb/texflow-mcp | Instructions file | 20 | 8mo ago | MIT | A | 770 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,685 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 279k | today | MIT | A | 4,325 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,086 | GitHub Copilot |