What is ai-native-cli?

A 98-rule specification for designing command-line tools that coding agents can use safely. It covers machine-readable output, input validation, errors, safety checks, exit codes, and built-in descriptions.

Use it when creating a CLI, adapting one for agent use, designing an automation interface, or checking whether a CLI meets the specification.

It gives developers concrete checks for making a CLI predictable and safe when called by automation. It also provides levels and priorities for auditing or improving an existing tool.

ai-native-cli — Skill for Claude Code and Codex by marysatasselshaped6

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.

Any agent

npx skills add marysatasselshaped667/skills-collection-1 --skill ai-native-cli

Clone the repo

git clone --depth 1 https://github.com/marysatasselshaped667/skills-collection-1

Made for: Claude Code, Codex.

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/skills/marysatasselshaped667/skills-collection-1/ai-native-cli/github.svg)](https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/ai-native-cli)

Your own site

<a href="https://agentmods.dev/skills/marysatasselshaped667/skills-collection-1/ai-native-cli"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/ai-native-cli/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/skills/marysatasselshaped667/skills-collection-1/ai-native-cli"><img src="https://agentmods.dev/badge/skills/marysatasselshaped667/skills-collection-1/ai-native-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,489 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 95% copy Near-identical to another mod 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	$0.00044	$0.03489
Opus 5	$0.00022	$0.01744
Sonnet 5	$0.00009	$0.00698
Haiku 4.5	$0.00004	$0.00349

Measured 11d ago against content hash 0aab4f3107d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-native-cli 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 11d 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.

Origin

This is a copy

95% identical to ai-native-cli — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

SKILLS/ai-native-cli/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent-Friendly CLI Spec v0.1

When building or modifying CLI tools, follow these rules to make them safe and reliable for AI agents to use.

Overview

A comprehensive design specification for building AI-native CLI tools. It defines 98 rules across three certification levels (Agent-Friendly, Agent-Ready, Agent-Native) with prioritized requirements (P0/P1/P2). The spec covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, self-description, and a feedback loop via a built-in issue system.

When to Use This Skill

Use when building a new CLI tool that AI agents will invoke
Use when retrofitting an existing CLI to be agent-friendly
Use when designing command-line interfaces for automation pipelines
Use when auditing a CLI tool's compliance with agent-safety standards

Core Philosophy

Agent-first -- default output is JSON; human-friendly is opt-in via --human
Agent is untrusted -- validate all input at the same level as a public API
Fail-Closed -- when validation logic itself errors, deny by default
Verifiable -- every rule is written so it can be automatically checked

Layer Model

This spec uses two orthogonal axes:

Layer answers rollout scope: core, recommended, ecosystem
Priority answers severity: P0, P1, P2

Use layers for migration and certification:

core -- execution contract: JSON, errors, exit codes, stdout/stderr, safety
recommended -- better machine UX: self-description, explicit modes, richer schemas
ecosystem -- agent-native integration: agent/, skills, issue, inline context

Certification maps to layers:

Agent-Friendly -- all core rules pass
Agent-Ready -- all core + recommended rules pass
Agent-Native -- all layers pass

How It Works

Step 1: Output Mode

Default is agent mode (JSON). Explicit flags to switch:

$ mycli list              # default = JSON output (agent mode)
$ mycli list --human      # human-friendly: colored, tables, formatted
$ mycli list --agent      # explicit agent mode (override config if needed)

Read the full file on GitHub · 311 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.

11d ago First seen · 311 lines · 44 tokens per session scan A 0aab4f3107d4

Subscribe to this mod's changes

ai-native-cli is a skill published in the GitHub repository marysatasselshaped667/skills-collection-1 (1 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 3,489 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to ai-native-cli, differing in 5 lines, and is treated as a copy.

Building agents agents ai ai-coding ai-workflows antigravity antigravity-skills

ai-native-cli

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

This is a copy

How it starts

Agent-Friendly CLI Spec v0.1

Overview

When to Use This Skill

Core Philosophy

Layer Model

How It Works

Step 1: Output Mode

What this file has done since we first saw it

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