ax-go-agent-optimize

ax-go-agent-optimize is a skill for Claude Code, Codex from ax-llm/ax. It costs 51 tokens per session (496 once invoked), scanned A, original, Apache-2.0.

A Go coding guide for Ax, a package for building and optimizing AI-agent programs. It covers agent optimization, evaluators, judges, and reusable instruction playbooks.

In plain words
What is it for?
Use it when writing Go programs with Ax, improving an agent from task results, creating evaluators, or saving optimization artifacts.
Why use it?
It helps avoid using APIs from the wrong programming language and gives Go-specific patterns for optimization work. It also supports bounded optimization runs and verification of proposed changes.

Skill for Claude CodeCodex

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

Good fit Use it when writing Go programs with Ax, improving an agent from task results, creating evaluators, or saving optimization artifacts.

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Install with agentmods
npx agentmods add skills/ax-llm/ax/ax-go-agent-optimize
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 · 2,893 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-optimize
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-optimize

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-optimize.svg)](https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-optimize)
Your own site
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-optimize"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-optimize.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 496 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 pass 7 Sept 2026
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 $0.00051 $0.00496
Opus 5 $0.00026 $0.00248
Sonnet 5 $0.00010 $0.00099
Haiku 4.5 $0.00005 $0.00050

Measured today against content hash 410dfee333fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ax-go-agent-optimize 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

Copies of this mod

2 near-identical copies found in the catalogue:

packages/go/skills/ax-go-agent-optimize/SKILL.md · 46 lines

What it actually says

AxAgent Optimize 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

  • Optimize an AxAgent or reusable program component.
  • Mine grounded weaknesses from failed agent tasks and keep only playbook proposals that pass the verification gate.
  • Create evaluator callbacks and persist optimizer artifacts.
  • Keep optimization runs bounded by explicit budgets and dataset rows.

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

engine := ax.NewGEPA(reflectionClient, nil)
result := engine.Optimize(request, evaluator)

Relevant API Surface

  • Agents And RLM: axllm.NewAgent, axllm.AxAgent, AxAgent.AddChildAgent
  • Optimizers: axllm.Optimize, axllm.Playbook, axllm.AxPlaybook, axllm.AxBootstrapFewShot, axllm.AxGEPA, axllm.OptimizerEngine, axllm.OptimizerEvaluator

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. today Changed 410dfee333fa
  2. 6d ago Changed 78cb3c7aaf99
  3. 9d ago First seen · 46 lines · 51 tokens per session scan A 0875306244d8

Subscribe to this mod's changes

ax-go-agent-optimize is a skill published in the GitHub repository ax-llm/ax (2,893 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 496 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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