ax-agent

ax-agent is a skill for Claude Code, Codex from dosco/aithy. It costs 131 tokens per session (8,000 once invoked), scanned A, a copy of ax-agent, Apache-2.0.

A coding guide for building AxAgent, a framework for AI assistants that can use tools and other agents. It covers agents, child agents, function namespaces, clarification, errors, and host-side results.

In plain words
What is it for?
Use it to create ordinary tool-using assistants, child-agent workflows, named tool groups, discovery behavior, clarification flows, or error handling.
Why use it?
It helps choose a small, correct agent setup instead of manually assembling configuration and tool schemas.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dosco/aithy/ax-agent
Any agent
npx skills add dosco/aithy --skill ax-agent
Clone the repo
git clone --depth 1 https://github.com/dosco/aithy

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 ax-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/dosco/aithy/ax-agent.svg)](https://agentmods.dev/skills/dosco/aithy/ax-agent)
Your own site
<a href="https://agentmods.dev/skills/dosco/aithy/ax-agent"><img src="https://agentmods.dev/badge/skills/dosco/aithy/ax-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,000 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% 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 $0.00131 $0.08000
Opus 5 $0.00066 $0.04000
Sonnet 5 $0.00026 $0.01600
Haiku 4.5 $0.00013 $0.00800

Measured today against content hash 0c5e6e840944, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ax-agent 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 today.

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

88% identical to ax-agent — 0 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.

.claude/skills/ax-agent/SKILL.md · 696 lines

How it starts

The opening of the file, as written. The whole thing — 696 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AxAgent Codegen Rules (@ax-llm/ax)

Use this skill to generate small, correct AxAgent code. Prefer modern factory-style APIs and copyable patterns. Do not write tutorial prose unless the user explicitly asks for explanation.

Your job is to choose the smallest correct AxAgent shape for the user's needs:

  • If the user wants a normal tool-using assistant, keep the config minimal.
  • If the user wants long-running code execution, use the ax-agent-rlm skill.
  • If the user wants callbacks, logs, tracing, or usage data, use the ax-agent-observability skill.
  • If the user wants dynamic memory retrieval or skill-guide loading, use the ax-agent-memory-skills skill.
  • If the user wants tuning or eval with agent.optimize(...), use the ax-agent-optimize skill.
  • If the user wants MCP transports, authentication, catalogs, subscriptions, tasks, Apps, or event-driven wake/resume, use the ax-mcp skill.

Use These Defaults

  • Use agent(...), not new AxAgent(...).
  • Prefer string signatures or f() signatures over hand-written signature objects.
  • Put ai, judgeAI, and agentIdentity on the agent(...) config when you want instance defaults or child-agent metadata.
  • Prefer fn(...) for host-side function definitions instead of hand-writing JSON Schema objects.
  • Prefer namespaced functions such as utils.search(...) or kb.find(...).
  • Pass child agents directly in functions: [...]. They land under their agentIdentity.namespace (or utils if unset), exactly like a fn() tool.
  • If discovery is enabled, call discover(...) before using callables whose docs are not already in the prompt.
  • Use explicit child agents in functions: [...] for specialist delegation; do not model that as recursive llmQuery(...).
  • Add bubbleErrors only for fatal infrastructure errors that should abort .forward().

Decision Guide

Map user intent to agent shape before writing code:

  • "Use tools and answer" -> plain agent(...) with local functions, no extra observability.
  • "Need child agents with distinct responsibilities" -> add child agents to the parent's functions: [...] list and set each child's agentIdentity.namespace when you want a specific runtime call site such as team.writer(...).
  • "Need tool discovery because names/schemas are not stable" -> enable discovery and generate discovery-first actor code.
  • "Need certain errors to escape the agent loop" -> add bubbleErrors with error classes; those errors propagate through function handlers, actor code, and llmQuery(...) sub-queries to .forward().
  • "Inspect large context with code", "RLM", or "llmQuery(...)" -> use ax-agent-rlm.
  • "Need debugging, traces, progress updates, tool-call logs, chat logs, or usage" -> use ax-agent-observability.
  • "Need memories, recall, dynamic skill guides, discover({ skills }), or loaded/used tracking" -> use ax-agent-memory-skills.

Read the full file on GitHub · 696 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. today Changed · +64 lines · +22 tokens per session 0c5e6e840944
  2. 4d ago First seen · 632 lines · 109 tokens per session scan A ca31f31ca6f2

Subscribe to this mod's changes

ax-agent is a skill published in the GitHub repository dosco/aithy (107 stars, last pushed 3d ago), licensed Apache-2.0. It adds 131 tokens to every session and 8,000 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to ax-agent, differing in 0 lines, and is treated as a copy.