Borrowing it
Nothing to install: this file belongs to cubeplexai/cubepi. 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/cubeplexai/cubepi/main/AGENTS.mdgit clone --depth 1 https://github.com/cubeplexai/cubepiWrote 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/cubeplexai/cubepi/agents-md)<a href="https://agentmods.dev/instructions/cubeplexai/cubepi/agents-md"><img src="https://agentmods.dev/badge/instructions/cubeplexai/cubepi/agents-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 | $0.01300 | $0.01300 |
| Opus 5 | $0.00650 | $0.00650 |
| Sonnet 5 | $0.00260 | $0.00260 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
cubepi AGENTS.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 6d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cubepi
Pythonic async-native agent framework (an alternative to langgraph). Async-first, strongly typed, deliberately few dependencies.
Commands (always via uv)
uv sync --all-extras --dev # install everything
uv run pytest tests/ # run tests (asyncio_mode=auto)
uv run pytest tests/path/test.py::test -v # single test
uv run ruff check cubepi/ tests/
uv run ruff format --check cubepi/ tests/ # CI checks formatting, doesn't fix
uv run mypy cubepi
CI runs pytest + ruff + mypy. Tests run on Python 3.11–3.14 (3.14 is
continue-on-error); local default is 3.13 (.python-version).
Architecture
cubepi/ modules: providers/ (LLM abstraction — Provider protocol returning
MessageStream; anthropic / openai / openai_responses / faux), agent/
(agent.py stateful class, loop.py stateless core algorithm, tools.py
execution engine), middleware/, checkpointer/ (memory / sqlite / postgres),
mcp/, tracing/ (OTel, optional), cli/ (cubepi trace). See the README
"Architecture" section for the full annotated tree.
Conventions & gotchas
- Lean deps: core deps are anthropic, openai, pydantic only.
Everything else (sqlite, postgres, mcp, tracing, trace-cli) is an optional
extra in
pyproject.toml. Don't add a hard dependency without strong reason. cubepi.tracingis lazily importable (PEP 562__getattr__): schema constants import without the opentelemetry SDK, so the trace CLI works on acubepi[trace-cli]-only install. Don't add eager OTel imports to its__init__.py.- Tests use
FauxProviderfor deterministic, no-API-call runs with realistic streaming. Prefer it over mocking providers. cubepi/cli/**is excluded from codecov (codecov.ymlignore).- Packaged data:
cubepi/providers/catalog/data/*.yamlships in the wheel.
Development workflow
This project follows a deliberate spec → plan → code pipeline. Honor it for any non-trivial work.
1. Set up an isolated worktree first. When a new requirement comes in, before
doing any work create a date-prefixed worktree on a date-prefixed branch
(e.g. .worktrees/YYYY-MM-DD-<topic> on branch YYYY-MM-DD-<topic>). Never work
directly on main. Subagents that write code must also use isolation: "worktree".
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.
- 6d ago First seen · 102 lines · 1,300 tokens per session scan A 8d5dd673e53f
cubepi AGENTS.md is an instructions file published in the GitHub repository cubeplexai/cubepi (48 stars, last pushed yesterday), licensed MIT. It adds 1,300 tokens to every session, about $0.0065 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 2026-08-30.
Other instructions, from other repositories
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
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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.
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.