Borrowing it
Nothing to install: this file belongs to tomtranjr/canvas-control. 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/tomtranjr/canvas-control/main/CLAUDE.mdgit clone --depth 1 https://github.com/tomtranjr/canvas-controlWrote 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/tomtranjr/canvas-control/claude-md)<a href="https://agentmods.dev/instructions/tomtranjr/canvas-control/claude-md"><img src="https://agentmods.dev/badge/instructions/tomtranjr/canvas-control/claude-md.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 5.1 | $0.02927 | $0.02927 |
| Opus 5 | $0.01463 | $0.01463 |
| Sonnet 5 | $0.00585 | $0.00585 |
| Haiku 4.5 | $0.00293 | $0.00293 |
Grade A, and why
canvas-control 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 7d 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to AI assistants working on the canvas-control codebase.
Project Overview
canvas-control is a Canvas LMS CLI and MCP server. It provides:
- A command-line tool (
cvsctl) for downloading course files, viewing grades, and submitting assignments - An MCP (Model Context Protocol) server (
cvsctl-mcp) for AI assistant integration (Claude Desktop, Cursor, Claude Code)
Package name: canvasctl (import path) / canvas-control (PyPI name)
CLI entry point: cvsctl
MCP entry point: cvsctl-mcp
Repository Layout
canvas-control/
├── pyproject.toml # Project config, dependencies, entry points
├── uv.lock # Locked dependency versions
├── README.md # User-facing documentation
├── docs/
│ ├── cli-reference.md # Full command tree and flags
│ ├── configuration.md # Token setup and path config
│ └── guides.md # Workflow examples and troubleshooting
├── scripts/
│ └── canvas-health-check.py # Standalone health check utility
├── src/canvasctl/ # Main package
│ ├── __init__.py
│ ├── __main__.py # Delegates to cli.main()
│ ├── auth.py # Token resolution (env var or prompt)
│ ├── canvas_api.py # Canvas REST API client (httpx)
│ ├── cli.py # Typer CLI — all commands live here
│ ├── config.py # TOML config load/save via platformdirs
│ ├── courses.py # Course formatting/sorting helpers
│ ├── downloader.py # Download orchestration and task planning
│ ├── grades.py # Grade display, sorting, CSV/JSON export
│ ├── interactive.py # questionary-based interactive TUI
│ ├── manifest.py # Download manifest persistence
│ ├── mcp_server.py # FastMCP server exposing Canvas tools
│ └── sources.py # Content source extraction (files, assignments, etc.)
└── tests/
├── conftest.py # Adds src/ to sys.path
├── test_auth.py
├── test_canvas_api.py
├── test_canvas_api_new_methods.py
├── test_cli_assignments.py
├── test_cli_config.py
├── test_cli_courses.py
├── test_cli_download.py
├── test_cli_grades.py
├── test_config.py
├── test_downloader.py
├── test_grades.py
├── test_live_smoke.py # Requires real Canvas credentials (marked `live`)
├── test_manifest.py
├── test_mcp_server.py
└── test_sources.py
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.
- 7d ago First seen · 264 lines · 2,927 tokens per session scan A b942ca4e4486
canvas-control CLAUDE.md is an instructions file published in the GitHub repository tomtranjr/canvas-control (3 stars, last pushed 5mo ago), licensed MIT. It adds 2,927 tokens to every session, about $0.0146 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 2026-08-31.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.