ai-native-cli

ai-native-cli is a skill for Claude Code from Subhra43/antigravity-awesome-skills. It costs 44 tokens per session (3,489 once invoked), scanned A, a copy of ai-native-cli, MIT.

A specification for command-line tools that AI agents can use safely and predictably. It defines rules for JSON output, input validation, errors, exit codes, safety checks, and built-in tool descriptions.

In plain words
What is it for?
Use it when creating, updating, or auditing a command-line tool for agent-driven automation.
Why use it?
It helps prevent agents from misreading output, sending invalid inputs, or continuing after an unsafe failure. It also makes command-line behaviour easier to test automatically.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the antigravity-awesome-skills plugin — 54 skills shipped together

Good fit Use it when creating, updating, or auditing a command-line tool for agent-driven automation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/subhra43/antigravity-awesome-skills/ai-native-cli
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 Subhra43/antigravity-awesome-skills --skill ai-native-cli
Clone the repo
git clone --depth 1 https://github.com/Subhra43/antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 54 skills.

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 ai-native-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/ai-native-cli/github.svg)](https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-native-cli)
Your own site
<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-native-cli"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/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.

agentmods 80×15 button for ai-native-cli

Your own site · 80×15
<a href="https://agentmods.dev/skills/subhra43/antigravity-awesome-skills/ai-native-cli"><img src="https://agentmods.dev/badge/skills/subhra43/antigravity-awesome-skills/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.

ModelPer sessionOnce 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 9d ago against content hash 0aab4f3107d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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.

plugins/antigravity-awesome-skills-claude/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

  1. Agent-first -- default output is JSON; human-friendly is opt-in via --human
  2. Agent is untrusted -- validate all input at the same level as a public API
  3. Fail-Closed -- when validation logic itself errors, deny by default
  4. 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.

  1. 9d 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 Subhra43/antigravity-awesome-skills (2 stars, last pushed 5mo ago), 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.

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