ainativelang AGENTS.md

ainativelang AGENTS.md is an instructions file for Codex, OpenCode from sbhooley/ainativelang. It costs 9,989 tokens per session, scanned A, original, Apache-2.0.

A set of instructions in an AGENTS.md file that tells coding agents how to install and work with the AINL repository. AINL is the repository’s AI-focused language and tool setup.

In plain words
What is it for?
It is for setting up AINL in supported coding-agent hosts, checking the installation, understanding the repository, and refreshing repository statistics after relevant edits.
Why use it?
It gives agents one place to find the installation command, repository layout, working commands, and maintenance requirements.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/sbhooley/ainativelang/agents-md
Clone the repo
git clone --depth 1 https://github.com/sbhooley/ainativelang

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.

agentmods badge for ainativelang AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sbhooley/ainativelang/agents-md.svg)](https://agentmods.dev/instructions/sbhooley/ainativelang/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/sbhooley/ainativelang/agents-md"><img src="https://agentmods.dev/badge/instructions/sbhooley/ainativelang/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 9,989 This file is loaded in full into every session.
When invoked 9,989 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.09989 $0.09989
Opus 5 $0.04994 $0.04994
Sonnet 5 $0.01998 $0.01998
Haiku 4.5 $0.00999 $0.00999

Measured 4d ago against content hash 3c3611609461, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ainativelang 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 4d 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.

AGENTS.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Ground Truth for AI Agents

For agents — install AINL (one step)

If you are an AI agent that needs AINL set up in your host stack, run:

pipx install 'ainativelang[mcp]' && ainl setup --auto

Fallback if pipx is unavailable:

python3 -m pip install --user 'ainativelang[mcp]' && ainl setup --auto

That is the entire install. The setup command auto-detects your host (Claude Code, Cursor, Cline, Codex CLI, Codex Desktop, Claude Desktop, OpenClaw, Hermes, ArmaraOS, or any generic MCP host), merges the right MCP server entry into its config, and verifies with ainl doctor. Existing config files are backed up with a timestamp before any change.

If your host is not detected, run ainl setup --print-config to get a paste-ready stdio MCP server block.

Machine-readable install spec: .agent-install.json. Design contract: docs/architecture/2026-05-05-agent-install-simplification.md.


Read this FIRST before doing anything in this repository.

Headline repo stats: If you edit the compiler, runtime, CLI, adapters, tests, or examples, run python scripts/refresh_repo_stats.py or install pre-commit (pre-commit install — see CONTRIBUTING.md) so STATUS.yaml and this file’s Repository Layout stay accurate. CI enforces this on every PR.

What This Repo Is

Python compiler + runtime for AINL (AI Native Language), version 1.8.0. AINL compiles .ainl source files into an IR (intermediate representation) graph, then executes that graph via adapters (database, HTTP, LLM, Solana, etc).

Repository Layout

compiler_v2.py          — The compiler (7052 lines). Parses .ainl → IR dict.
compiler_diagnostics.py — Error/warning types used by compiler.
runtime/engine.py       — The runtime engine (3106 lines). Executes IR graphs.
runtime/adapters/       — Runtime adapter base classes and builtins.
cli/main.py             — CLI entry point (3766 lines). All `ainl` commands.
adapters/               — 70 Python files under `adapters/` (recursive); ArmaraOS monitor bootstrap: `armaraos_integration.py`, `armaraos_defaults.py` (`build_armaraos_monitor_registry`, `boot_armaraos_graph_memory`). See `docs/ARMARAOS_INTEGRATION.md`, `docs/adapters/AINL_GRAPH_MEMORY.md`.
armaraos/emitter/       — `armaraos.py`: `ainl emit --target armaraos` Hand pack (`HAND.toml`, IR JSON, `security.json`, README) with `schema_version` for openfang-hands validation.
scripts/                — Standalone scripts (`refresh_repo_stats.py`, emit_langgraph, emit_temporal, `ainl_mcp_server.py` MCP entrypoint, etc).
tooling/                — Graph analysis, normalization, effect analysis; `ainl_get_started.py` (authoring wizard + adapter contracts), `corpus_mining.py` (strict-valid family index for `corpus/strict_valid_family_index.json`).
corpus/                 — Generated/mined JSON (e.g. `strict_valid_family_index.json`, `reverse_prompt_fixtures.json`); see `docs/operations/MCP_AINL_WIZARD_AND_CORPUS.md`.
examples/               — 110+ `.ainl` files under `examples/` (strict CI subset: `tooling/artifact_profiles.json`). See `examples/README.md`.
tests/                  — 264 `*.py` files under `tests/` (~32k lines total); 234 `test_*.py` modules; pytest —collect-only: 1636/1675 (see STATUS.yaml). Definitions: **`STATUS.yaml`** → `real_and_working.tests`.
docs/                   — Documentation (some accurate, some aspirational — see **`STATUS.yaml`**).

Read the full file on GitHub · 399 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.

  1. 4d ago First seen · 399 lines · 9,989 tokens per session scan A 3c3611609461

Subscribe to this mod's changes

ainativelang AGENTS.md is an instructions file published in the GitHub repository sbhooley/ainativelang (671 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 9,989 tokens to every session, about $0.0499 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.

Related

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