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.
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.
npx skills add ax-llm/ax --skill ax-go-gengit clone --depth 1 https://github.com/ax-llm/axWrote 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/ax-llm/ax/ax-go-gen)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-gen"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-gen/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/ax-llm/ax/ax-go-gen"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.05764 |
| Opus 5.5 | $0.00022 | $0.02306 |
| Sonnet 5.5 | $0.00011 | $0.01153 |
| Haiku 4.5 | $0.00005 | $0.00576 |
Grade A, and why
ax-go-gen 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 3d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxGen Structured Generation 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
- Build a structured generation program from a signature.
- Attach typed tools or MCP-derived tools to a generation call.
- Generate multiple validated structured samples and select a winner with a native callback.
- Use package examples for no-key scripted clients and provider-api calls.
Package Facts
- Language: Go.
- Package:
github.com/ax-llm/ax/packages/go. - Package API docs:
API.mdandaxir-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
program := ax.NewAx("question:string -> answer:string", nil)
out := program.Forward(llm, map[string]ax.Value{"question": "What is Ax?"}, nil)
OpenAI Decisions
The openai-decisions provider uses /v1/decisions with gpt-6-luna by default. Required boolean fields become predicates; required class fields become choices; score fields become labelled native rubrics. Use normal AxGen signatures with (evidence) to retain probabilities, provider-selected values, native confidence, and trusted provenance; use (evidence, refusal return) for an answered/refused union. See the Typesafe/Jev skill for decision evidence and reranking across both providers. trueThreshold (or true_threshold) defaults to 0.5, is finite in [0,1], and uses an inclusive comparison. Field value descriptions become criteria instructions or choice descriptions. Raw answers remain in providerMetadata.openaiDecisions.answers; usage uses existing program APIs.
Use axllm.OpenAIDecisions for explicit provider request shapes and native JSON input. Its create operation (Go: Create) accepts input and an ordered questions array. Each question has string instructions and an optional unique string name; unnamed answers retain name: null. Predicate returns probability. Choice requires 2-255 string or boolean choices and returns choice, confidence, and probabilities. Score requires 2-10 explicitly labelled levels and returns a fractional zero-based score, confidence, and probabilities. Handle type: refusal before accessing answer values. Preserve full model, answer order, and usage.
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.
- 3d ago Changed ab7de9a49fb4
- 4d ago Changed adf15d2ee4cc
- 6d ago Changed e05310209a9e
- 7d ago Changed 7fb247101c41
- 9d ago Changed 291412462c6f
- 11d ago Changed 23bb74cb07db
- 13d ago Changed d64d86c65486
- 16d ago Changed ab1ab6e255bb
- 17d ago Changed · +10 lines 3796cdc56b80
- 18d ago First seen · 126 lines · 54 tokens per session scan A a232cc2b4665
ax-go-gen is a skill published in the GitHub repository ax-llm/ax (2,969 stars, last pushed 3d ago), licensed Apache-2.0. It adds 54 tokens to every session and 5,764 once invoked, about $0.0002 per session on Opus 5.5. 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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