use-agently: Skill for Claude Code

.agents/skills/aixyz/SKILL.md

aixyz is a skill for Claude Code, Codex from AgentlyHQ/use-agently. It costs 54 tokens per session (3,623 once invoked), scanned A, original, MIT.

A set of instructions for building, running, and deploying an AI agent with the aixyz framework. It covers creating an agent project, adding tools, connecting A2A and MCP communication protocols, configuring x402 micropayments, and deploying to Vercel.

In plain words
What is it for?
Use it when starting an aixyz agent, adding a tool, configuring micropayments, wiring A2A or MCP endpoints, or deploying the agent to Vercel.
Why use it?
It gives an agent a defined process for setting up the project and connecting the listed services and protocols.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; positional $N argument; installed under .agents/ (shared by several agents).

This is AgentlyHQ/use-agently's own configuration. It tells Claude Code and Codex how to work on use-agently itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything use-agently configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is import calculate from "../tools/calculate";.

Reuse

Borrowing it

Nothing to install: this file belongs to AgentlyHQ/use-agently. 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/AgentlyHQ/use-agently/main/.agents/skills/aixyz/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AgentlyHQ/use-agently

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.

agentmods badge for aixyz

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlyhq/use-agently/aixyz/github.svg)](https://agentmods.dev/skills/agentlyhq/use-agently/aixyz)
Your own site
<a href="https://agentmods.dev/skills/agentlyhq/use-agently/aixyz"><img src="https://agentmods.dev/badge/skills/agentlyhq/use-agently/aixyz/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 aixyz

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlyhq/use-agently/aixyz"><img src="https://agentmods.dev/badge/skills/agentlyhq/use-agently/aixyz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,623 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 342
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 5.1 $0.00054 $0.03623
Opus 5 $0.00027 $0.01811
Sonnet 5 $0.00011 $0.00725
Haiku 4.5 $0.00005 $0.00362

Measured 11d ago against content hash 2eee7f787278, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aixyz 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.

.agents/skills/aixyz/SKILL.md · 391 lines

How it starts

The opening of the file, as written. The whole thing — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build an Agent with aixyz

When to Use

Use this skill when:

  • Scaffolding a new AI agent project from scratch
  • Adding a new tool to an existing agent
  • Configuring x402 micropayments for an agent or tool
  • Wiring up A2A and MCP protocol endpoints
  • Deploying an agent to Vercel

Instructions

1. Scaffold a new project

All CLI commands support --help for full usage details. Use --help to discover available options.

# See all options
bunx create-aixyz-app --help

# Interactive (TTY)
bunx create-aixyz-app my-agent

# Non-interactive (recommended for AI/CI)
bunx create-aixyz-app my-agent --yes
bunx create-aixyz-app my-agent --erc-8004 --pay-to 0x... --no-install

--openai-api-key is optional — if omitted, set OPENAI_API_KEY in .env.local before running the agent. The scaffolded template uses @ai-sdk/openai by default, but you can swap it for any Vercel AI SDK provider adapter (e.g. @ai-sdk/anthropic, @ai-sdk/google, @ai-sdk/amazon-bedrock).

This creates the standard project layout:

my-agent/
  aixyz.config.ts     # Agent metadata and skills
  app/
    agent.ts          # Agent definition
    tools/            # One file per tool
    icon.png          # Agent icon (optional)
  package.json
  vercel.json

2. Configure the agent (aixyz.config.ts)

Every agent needs a config file at the project root. Declare identity, payment address, and skills:

import type { AixyzConfig } from "aixyz/config";

const config: AixyzConfig = {
  name: "My Agent",
  description: "A short description of what this agent does.",
  version: "0.1.0",
  x402: {
    payTo: process.env.X402_PAY_TO!,
    network: process.env.NODE_ENV === "production" ? "eip155:8453" : "eip155:84532",
  },
  skills: [
    {
      id: "my-skill",
      name: "My Skill",
      description: "What this skill does for callers.",
      tags: ["example"],
      examples: ["Do something with my skill"],
    },
  ],
};

export default config;

Read the full file on GitHub · 391 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. 11d ago First seen · 391 lines · 54 tokens per session scan A 2eee7f787278

Subscribe to this mod's changes

aixyz is a skill published in the GitHub repository AgentlyHQ/use-agently (72 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 3,623 once invoked, about $0.0003 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.

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