ax-go-agent-rlm

ax-go-agent-rlm is a skill for Claude Code, Codex from ax-llm/ax. It costs 49 tokens per session (478 once invoked), scanned A, a copy of ax-go-agent-optimize, Apache-2.0.

A Go coding guide for running Ax agents that execute code through runtime sessions. RLM here refers to an agent loop that can use a code runtime while solving a task.

In plain words
What is it for?
Use it to configure code sessions, process-based runtimes, runtime profiles, runtime capabilities, and runtime envelopes for Go agents.
Why use it?
It clarifies how generated Go packages connect to Ax runtime contracts and helps avoid treating them as TypeScript translators.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure code sessions, process-based runtimes, runtime profiles, runtime capabilities, and runtime envelopes for Go agents.

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Install with agentmods
npx agentmods add skills/ax-llm/ax/ax-go-agent-rlm
About the project

Ax is a TypeScript-first programming framework for building applications with large language models through typed generation, agents, workflows, and optimization tools. It is intended for developers who want one model for LLM programs across TypeScript, Python, Java, C++, Go, Rust, and other runtimes.

ax-llm/ax · 2,894 stars · on GitHub · axllm.dev

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 ax-llm/ax --skill ax-go-agent-rlm
Clone the repo
git clone --depth 1 https://github.com/ax-llm/ax

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-go-agent-rlm

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-rlm/github.svg)](https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-rlm)
Your own site
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-rlm"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-rlm/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 ax-go-agent-rlm

Your own site · 80×15
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-rlm"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-rlm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 478 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 86% 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 $0.00049 $0.00478
Opus 5 $0.00024 $0.00239
Sonnet 5 $0.00010 $0.00096
Haiku 4.5 $0.00005 $0.00048

Measured yesterday against content hash 6a5a0d630cb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ax-go-agent-rlm 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 yesterday.

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

86% identical to ax-go-agent-optimize — 19 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.

packages/go/skills/ax-go-agent-rlm/SKILL.md · 45 lines

What it actually says

AxAgent RLM Runtime For Go

This skill helps an agent write Go code with the generated Ax package github.com/ax-llm/ax/packages/go. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.

When To Use

  • Wire an AxCodeRuntime or AxCodeSession implementation.
  • Use ProcessCodeRuntime or an optional runtime profile for actor-code sessions.
  • Explain that generated packages are not TypeScript transpilers; they adapt the Ax runtime contract.

Package Facts

  • Language: Go.
  • Package: github.com/ax-llm/ax/packages/go.
  • Package API docs: API.md and axir-api.json.
  • Capability manifest: axir-capabilities.json.
  • Runnable examples: examples/.
  • Real network support: yes.
  • Scripted no-key transport support: yes.
  • Runtime profiles: javascript-goja.

Core Pattern

helper := ax.NewAgent("question:string -> answer:string", nil)
out := helper.Forward(llm, map[string]ax.Value{"question": "How should I proceed?"}, nil)

Relevant API Surface

  • Agents And RLM: axllm.NewAgent, axllm.AxAgent, AxAgent.AddChildAgent
  • Runtime Profiles: axllm.ProcessCodeRuntime, axllm.RuntimeCapabilities, axllm.RuntimeEnvelope, javascript-goja

Guardrails

  • Start from package examples for exact native syntax before inventing a new call shape.
  • Use provider-api examples only when the user explicitly has provider credentials available.
  • Use no-key examples for deterministic local checks and provider request mapping.
  • Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.
  • Do not copy repo-maintainer skills from tools/*/skills/ into user packages.
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. yesterday Changed 6a5a0d630cb3
  2. 2d ago Changed d41cdd7e42e7
  3. 8d ago Changed 30573e5fc768
  4. 10d ago First seen · 45 lines · 49 tokens per session scan A 2abc0c3b06e2

Subscribe to this mod's changes

ax-go-agent-rlm is a skill published in the GitHub repository ax-llm/ax (2,894 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 478 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to ax-go-agent-optimize, differing in 19 lines, and is treated as a copy.

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