What is asiai AGENTS.md?

Project-specific instructions for asiai, a Python command-line tool that manages, benchmarks, and monitors local language models on Apple Silicon Macs.

Use them when modifying asiai, diagnosing its installation or monitoring tools, or working with its supported local model engines.

They give coding agents the project's structure, supported systems, architecture, and development conventions before they change code.

How druide67/asiai configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to druide67/asiai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/druide67/asiai/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/druide67/asiai

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/druide67/asiai/agents-md/github.svg)](https://agentmods.dev/instructions/druide67/asiai/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/druide67/asiai/agents-md"><img src="https://agentmods.dev/badge/instructions/druide67/asiai/agents-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/druide67/asiai/agents-md"><img src="https://agentmods.dev/badge/instructions/druide67/asiai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,032 This file is loaded in full into every session.

When invoked 2,032 The same file — it is already loaded in full.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.02032	$0.02032
Opus 5.5	$0.00813	$0.00813
Sonnet 5.5	$0.00406	$0.00406
Haiku 4.5	$0.00203	$0.00203

Measured 1mo ago against content hash 3b322a4ee114, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

asiai AGENTS.md scanned grade B with 1 finding 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

│ └── power.py # PowerMonitor (sudo powermetrics, GPU/CPU watts)

AGENTS.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — asiai

Guidelines for AI agents contributing to this project.

Project

asiai — open-source CLI to manage, benchmark, and monitor local LLM inference on Apple Silicon.

Language: Python 3.11+, zero external dependencies for the core (stdlib only)
Target: macOS Apple Silicon only (M1/M2/M3/M4). No Linux, no Windows.
License: Apache 2.0

Architecture

src/asiai/
├── cli.py              # CLI entry point (argparse)
├── doctor.py           # Installation and environment diagnostics
├── daemon.py           # launchd daemon management (continuous monitoring)
├── engines/            # Engine adapters (5 engines)
│   ├── base.py         # ABC InferenceEngine + dataclasses
│   ├── openai_compat.py # Base class for OpenAI-compatible engines (template method)
│   ├── detect.py       # Auto-detection (ports 11434, 1234, 8080, 8000)
│   ├── ollama.py       # Ollama adapter (native API)
│   ├── lmstudio.py     # LM Studio adapter (OpenAI-compatible)
│   ├── mlxlm.py        # mlx-lm adapter (OpenAI-compatible, Apple MLX native)
│   ├── llamacpp.py     # llama.cpp adapter (OpenAI-compatible, GGUF)
│   └── vllm_mlx.py     # vllm-mlx adapter (OpenAI-compatible, MLX)
├── collectors/         # Metric collectors (system, inference, power, macOS native)
│   └── power.py        # PowerMonitor (sudo powermetrics, GPU/CPU watts)
├── benchmark/          # Runner + standardized prompts + reporter + regression
│   └── regression.py   # Regression detection vs SQLite history
├── storage/            # SQLite (schema, migrations, dataclasses)
├── advisor/            # Hardware-aware recommendations
├── display/            # Renderers (CLI, TUI, Web)
│   ├── cli_renderer.py # CLI rendering (detect, bench, doctor, monitor)
│   ├── formatters.py   # Formatting helpers (ANSI, bytes, uptime)
│   ├── tui.py          # Textual dashboard (optional)
│   └── tui.tcss        # Textual styles
└── web/                # Web dashboard (optional: pip install asiai[web])
    ├── app.py          # FastAPI factory + lifespan + Jinja2
    ├── state.py        # AppState + BenchStatus dataclasses
    ├── routes/         # Route handlers (dashboard, bench, monitor, history, doctor)
    ├── templates/      # Jinja2 templates + partials
    └── static/         # CSS + JS (ApexCharts config)

Read the full file on GitHub · 163 lines

Changes

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 Changed · +26 lines · +419 tokens per session 3b322a4ee114
2mo ago First seen · 137 lines · 1,613 tokens per session scan B 564cc25cb18c

Subscribe to this mod's changes

asiai AGENTS.md is an instructions file published in the GitHub repository druide67/asiai (12 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,032 tokens to every session, about $0.0081 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Apple Silicon LLM benchmark cli inference lm-studio

asiai AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
asiai AGENTS.mddruide67/asiai	Instructions file	12	1mo ago	Apache-2.0	B	2,032	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

asiai: Instructions file for Codex