Borrowing it
Nothing to install: this file belongs to jsturtevant/local-code-interpreter-tool. 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/jsturtevant/local-code-interpreter-tool/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/jsturtevant/local-code-interpreter-toolWrote 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/jsturtevant/local-code-interpreter-tool/copilot-instructions)<a href="https://agentmods.dev/instructions/jsturtevant/local-code-interpreter-tool/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jsturtevant/local-code-interpreter-tool/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/jsturtevant/local-code-interpreter-tool/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jsturtevant/local-code-interpreter-tool/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 | $0.01016 | $0.01016 |
| Opus 5.5 | $0.00406 | $0.00406 |
| Sonnet 5.5 | $0.00203 | $0.00203 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
local-code-interpreter-tool 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 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Code Interpreter Tool - Copilot Instructions
Project Overview
A local code interpreter tool built with the Microsoft Agent Framework. It provides sandboxed code execution capabilities for AI agents.
Architecture
src/local_code_interpreter/
├── __init__.py # Package initialization
├── __main__.py # CLI entry point
├── tools.py # CodeExecutionTool - the core execution logic
└── agent.py # ChatAgent setup, CLI, and DevUI
Key Components
-
CodeExecutionTool (
tools.py): The main tool class that executes code. Supports two environments:python: Fast subprocess execution (default)hyperlight: VM-isolated sandbox using hyperlight-nanvix (JavaScript or Python)
-
create_interpreter_agent (
agent.py:185): Factory function that creates a configured ChatAgent with the code execution tool.
Key pattern: Tools are defined once in tools.py and imported by the agent. When adding new capabilities, add the tool function to tools.py first, then register it in the agent's tools=[] list.
Execution Environments
Python Subprocess (default)
- Fast execution in isolated subprocess
- Output captured via stdout/stderr
- Configurable timeout (default 30s)
- Environment stripped for security
Hyperlight VM Sandbox
- Uses hyperlight-nanvix for VM-level isolation
- Supports JavaScript (default) and Python
- Requires Linux with KVM support (
/dev/kvm) - Higher security for untrusted code execution
Development Commands
This project uses just as a task runner. All commands automatically use the virtual environment.
# Initial setup (creates venv and installs deps)
just setup
cp .env.example .env # Configure API keys
# Run agent (auto-detects OpenAI vs Azure based on env vars)
just run # Run with example queries
just interactive # Interactive chat mode
# Code quality
just format # Format with black
just lint # Lint with ruff
just lint-fix # Auto-fix lint issues
just typecheck # Type check with mypy
just check # Run all quality checks
# Testing
just test # Run tests
just test-ci # Tests with coverage reports
# Build & CI
just build # Build package
just clean # Clean artifacts
just ci # Run full CI pipeline locally
just pre-commit # Validate before committing
# Utilities
just # Show all available commands
just info # Show environment info
just tree # Show project structure
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 · 135 lines · 1,016 tokens per session scan A 2e016b8b2318
local-code-interpreter-tool copilot-instructions.md is an instructions file published in the GitHub repository jsturtevant/local-code-interpreter-tool (2 stars, last pushed 9mo ago), licensed MIT. It adds 1,016 tokens to every session, about $0.0041 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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.