kunchenguid/axi is a set of design principles for building agent-native command-line tools, meaning CLIs shaped for AI agents rather than human users and optimized around token use. It is for developers creating interfaces that agents can use with less overhead than conventional CLIs or structured tool protocols such as MCP. The catalogue instructions and skill describe workflows based on these principles.
Borrowing it
Nothing to install: this file belongs to kunchenguid/axi. 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/kunchenguid/axi/main/AGENTS.mdgit clone --depth 1 https://github.com/kunchenguid/axiWrote 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/kunchenguid/axi/agents-md)<a href="https://agentmods.dev/instructions/kunchenguid/axi/agents-md"><img src="https://agentmods.dev/badge/instructions/kunchenguid/axi/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.
<a href="https://agentmods.dev/instructions/kunchenguid/axi/agents-md"><img src="https://agentmods.dev/badge/instructions/kunchenguid/axi/agents-md.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 | $0.01680 | $0.01680 |
| Opus 5.5 | $0.00672 | $0.00672 |
| Sonnet 5.5 | $0.00336 | $0.00336 |
| Haiku 4.5 | $0.00168 | $0.00168 |
Grade A, and why
axi 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 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI agents when working with code in this repository.
What This Project Is
AXI (Agent eXperience Interface) defines 10 ergonomic principles for building CLI tools that AI agents use via shell execution. This repo contains:
packages/axi-sdk-js/— Shared Node.js SDK every*-axiCLI builds on.runAxiCli()provides built-in commands for all tools:--help,-v/--version, andupdate(self-update).updateis a reserved command name; a tool may shadow it by registering its own handler. The package also exposes a second, dependency-free subpath,axi-sdk-js/fast-path(src/fast-path.ts), so a tool'sbin/can answer--versionbefore dynamically importing its heavy command graph. It must stay import-free and flag/output-identical to the version handling inrunAxiCli;test/fast-path.test.tsguards both.bench-github/— Benchmark harness that compares gh-axi vs gh CLI vs GitHub MCP across 17 agent tasks, graded by an LLM judge.bench-browser/— Benchmark harness that compares browser automation tools (agent-browser, pinchtab, chrome-devtools-mcp) across 16 browsing tasks..agents/skills/axi/SKILL.md— The AXI skill definition (installable vianpx skills add kunchenguid/axi).docs/— Static website (axi.md).
The reference AXI implementation (gh-axi) lives in a separate repo: kunchenguid/gh-axi.
Development Commands
Benchmark harness (GitHub)
pnpm install
pnpm --dir bench-github run bench -- run --condition axi --task merged_pr_ci_audit --repeat 5 --agent claude
pnpm --dir bench-github run bench -- matrix --repeat 5 --agent claude
pnpm --dir bench-github run bench -- report
pnpm --dir bench-github test # Run bench tests (vitest)
Benchmark harness (Browser)
pnpm install
pnpm --dir bench-browser run bench -- run --condition agent-browser --task read_static_page --repeat 5
pnpm --dir bench-browser run bench -- matrix --repeat 5 # full run: all conditions × all tasks × 5 repeats
pnpm --dir bench-browser run bench -- report
pnpm --dir bench-browser test # Run bench tests (vitest)
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 · 94 lines · 1,680 tokens per session scan A 35845a642421
axi AGENTS.md is an instructions file published in the GitHub repository kunchenguid/axi (2,248 stars, last pushed yesterday), licensed MIT. It adds 1,680 tokens to every session, about $0.0067 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 2026-08-30.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.