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.
curl -O https://raw.githubusercontent.com/AgentlyHQ/use-agently/main/.agents/skills/aixyz/SKILL.mdgit clone --depth 1 https://github.com/AgentlyHQ/use-agentlyWrote 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/skills/agentlyhq/use-agently/aixyz)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00054 | $0.03623 |
| Opus 5 | $0.00027 | $0.01811 |
| Sonnet 5 | $0.00011 | $0.00725 |
| Haiku 4.5 | $0.00005 | $0.00362 |
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.
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-keyis optional — if omitted, setOPENAI_API_KEYin.env.localbefore running the agent. The scaffolded template uses@ai-sdk/openaiby 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;
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 · 391 lines · 54 tokens per session scan A 2eee7f787278
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.
Other skills, from other repositories
prometheus
Prometheus monitoring and alerting for cloud-native observability. Use when implementing metrics collection, PromQL queries, alerting rules, service discovery, recording rules, and scrape config.
approval
Approval workflow skill. View pending approval tasks and approve or reject service requests.
preapproval-agent
Approval pre-review agent. Process webhook-driven approval items, analyze request reasonableness, and execute auditable approve/reject decisions.
request-decomposition-agent
Request decomposition agent. Split broad natural-language infrastructure or application needs into structured, reviewable multi-service request drafts.
create-atlasclaw-skill
Create new AtlasClaw skills with proper structure, metadata, and documentation. Use when building executable skills, markdown skills, or provider skills for the AtlasClaw AI Agent.
prometheus-analysis
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus querying, alerting, or metrics analysis. Provides guidance for querying and interpreting Prometheus metrics…