ax-flow

ax-flow is a skill for Claude Code, Codex from ax-llm/ax. It costs 59 tokens per session (6,979 once invoked), scanned A, original, Apache-2.0.

A guide to building AI workflows with the @ax-llm/ax TypeScript library. A workflow connects several named steps, including parallel steps, conditional routes, map/reduce patterns, and a final typed result.

In plain words
What is it for?
Building document pipelines, parallel processing, conditional workflows, and other multi-node AI applications.
Why use it?
It helps developers organize multi-step AI processing and avoid errors caused by undefined nodes or unclear state fields.

Skill for Claude CodeCodex

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

Good fit Building document pipelines, parallel processing, conditional workflows, and other multi-node AI applications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ax-llm/ax/ax-flow
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-flow
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-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-llm/ax/ax-flow.svg)](https://agentmods.dev/skills/ax-llm/ax/ax-flow)
Your own site
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-flow"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-flow.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,979 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 $0.00059 $0.06979
Opus 5 $0.00030 $0.03490
Sonnet 5 $0.00012 $0.01396
Haiku 4.5 $0.00006 $0.00698

Measured today against content hash a3e8ac3c5792, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ax-flow 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.

website/static/typescript/.well-known/agent-skills/ax-flow/SKILL.md · 707 lines

How it starts

The opening of the file, as written. The whole thing — 707 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AxFlow Codegen Rules (@ax-llm/ax)

Use this skill to generate AxFlow workflow code. Prefer short, modern, copyable patterns. Do not write tutorial prose unless the user explicitly asks for explanation.

Use These Defaults

  • Use flow() factory, not new AxFlow().
  • Import: import { ai, flow, f } from '@ax-llm/ax';
  • autoParallel: true is the default; independent executes and derives run in parallel when their metadata reads/writes are known and non-conflicting.
  • Node results are stored as ${nodeName}Result in state.
  • Always define .node() before .execute() for that node.
  • Use .returns() (or .r()) as the last step to lock the output type.
  • Use descriptive node names: documentSummarizer, not proc1.
  • Use descriptive field names: userInput, responseText, not text, result.

Critical Rules

  • Use flow() factory syntax for new code.
  • Node results in state follow the pattern state.${nodeName}Result.${fieldName}.
  • .execute() maps current state to node inputs; .map() transforms state without AI calls.
  • .returns() maps final state to the flow output type.
  • Always define nodes before executing them; reversed order throws at runtime.
  • Keep state flat; avoid deep nesting in .map().
  • Ensure loop conditions can change to avoid infinite loops.
  • Structure independent executes to maximize safe auto-parallelization.
  • Use flow<InputType, OutputType>() for typed flows.
  • Aliases: .n() = .node(), .nx() = .nodeExtended(), .m() = .map(), .r() = .returns().

Canonical Pattern

import { ai, flow } from '@ax-llm/ax';

const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });

const wf = flow<{ userInput: string }, { responseText: string }>()
  .node('testNode', 'userInput:string -> responseText:string')
  .execute('testNode', (state) => ({ userInput: state.userInput }))
  .returns((state) => ({ responseText: state.testNodeResult.responseText }));

const result = await wf.forward(llm, { userInput: 'Hello world' });
console.log(result.responseText);

Read the full file on GitHub · 707 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 · +20 lines a3e8ac3c5792
  2. 4d ago First seen · 687 lines · 59 tokens per session scan A 674be774b2d8

Subscribe to this mod's changes

ax-flow is a skill published in the GitHub repository ax-llm/ax (2,893 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 6,979 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 2026-09-03.

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