Borrowing it
Nothing to install: this file belongs to tomconte/codebox-ai. 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/tomconte/codebox-ai/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/tomconte/codebox-aiWrote 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/tomconte/codebox-ai/copilot-instructions)<a href="https://agentmods.dev/instructions/tomconte/codebox-ai/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tomconte/codebox-ai/copilot-instructions/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/tomconte/codebox-ai/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tomconte/codebox-ai/copilot-instructions.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 | $0.00911 | $0.00911 |
| Opus 5.5 | $0.00364 | $0.00364 |
| Sonnet 5.5 | $0.00182 | $0.00182 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
codebox-ai copilot-instructions.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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeBox-AI Development Guide
This guide contains instructions for developing, building, and testing the CodeBox-AI project using uv's native commands.
Build Commands
Environment Setup
- Install all dependencies:
uv sync - Install without dependencies:
uv sync --no-dev - Install with specific extras:
uv sync --extra "examples"
Running the Application
Standard Server
uv run -m codeboxai.main
MCP Server Options
-
Standalone MCP server (for Claude Desktop):
uv run mcp dev mcp_server.py -
Register with Claude Desktop:
uv run mcp install mcp_server.py --name "CodeBox-AI" -
Combined FastAPI + MCP server:
uv run run.py -
MCP server only:
uv run run.py --mode mcp
Testing
- Run all tests:
uv run -m pytest - Run single test:
uv run -m pytest tests/path/to/test.py::test_function_name -v - Run tests with coverage:
uv run -m pytest --cov=codeboxai - Generate coverage report:
uv run -m pytest --cov=codeboxai --cov-report=html
Linting and Code Quality
- Run all code quality checks:
uv run pre-commit run --all-files - Individual checks:
- Format code:
uv run -m black . - Check imports:
uv run -m isort . - Lint code:
uv run -m flake8 codeboxai - Type checking:
uv run -m mypy codeboxai
- Format code:
Project Management
- Add a dependency:
uv add <package-name> - Remove a dependency:
uv remove <package-name> - Lock dependencies:
uv lock - View dependency tree:
uv tree
Building and Publishing
- Build package:
uv run -m build - Publish package:
uv publish
Code Style Guidelines
Imports
- Group in order: stdlib, third-party, local
- Sort alphabetically within groups
- Use
isortfor automatic sorting
Formatting
- Use
blackfor code formatting with default settings (line length 120 as configured in pyproject.toml) - Ensure consistent indentation (4 spaces)
Type Annotations
- Use type hints for all function parameters and return values
- Use
mypyfor type checking
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 · 153 lines · 911 tokens per session scan A 0a21a6457805
codebox-ai copilot-instructions.md is an instructions file published in the GitHub repository tomconte/codebox-ai (9 stars, last pushed 1y ago), licensed MIT. It adds 911 tokens to every session, about $0.0036 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 2026-08-31.
Other instructions, from other repositories
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
generative-ai-for-beginners AGENTS.md
AGENTS.md instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.