ax-rust-llm

ax-rust-llm is a skill for Claude Code, Codex from ax-llm/ax. It costs 37 tokens per session (672 once invoked), scanned A, original, Apache-2.0.

A Rust quick reference for using the generated axllm package to build AI programs, providers, agents, flows, and optimizers.

In plain words
What is it for?
Use it to look up package APIs, start signatures and generators, connect providers, and find the right examples for common Ax tasks.
Why use it?
It helps developers find the native Rust entry points without copying TypeScript-only examples or assumptions.

Skill for Claude CodeCodex

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

Good fit Use it to look up package APIs, start signatures and generators, connect providers, and find the right examples for common Ax tasks.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-llm/ax/ax-rust-llm.svg)](https://agentmods.dev/skills/ax-llm/ax/ax-rust-llm)
Your own site
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-rust-llm"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-rust-llm.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 672 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 $0.00037 $0.00672
Opus 5 $0.00018 $0.00336
Sonnet 5 $0.00007 $0.00134
Haiku 4.5 $0.00004 $0.00067

Measured today against content hash de24e1eb6d87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ax-rust-llm 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.

packages/rust/skills/ax-rust-llm/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ax LLM Quick Reference For Rust

This skill helps an agent write Rust code with the generated Ax package axllm. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.

When To Use

  • Start a generated-language Ax program from package docs or examples.
  • Translate the Ax mental model into the target package without TypeScript-only imports.
  • Choose the native package entrypoints for signatures, providers, generators, agents, flows, and optimizers.
  • Find ordered or adaptive provider-balancing guidance in the language-specific AI skill.

Package Facts

  • Language: Rust.
  • Package: axllm.
  • 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-quickjs.

Core Pattern

use axllm::ai;

let llm = ai("openai", options)?;

Relevant API Surface

  • Signatures: s, f, AxSignature
  • AxGen: ax, AxGen, run_control, AxRunControl
  • AxAI: ai, AxCancellationToken, AxAIServiceAbortedError, get_supported_ai_models, AxCredentialRequest, AxCredentialProvider, AxChatSession, AxChatStream, OpenAICompatibleClient, OpenAIResponsesClient, GoogleGeminiClient, AnthropicClient, AxUsageContext, AxUsageEvent, AxUsageObserver, set_usage_observer, AxRuntimeHooks, AxRateLimitInfo, AxRateLimiter, AxTracer, AxMeter, AxGlobals, set_rate_limiter, set_tracer, set_meter, AxBalancer, AxBalancerAdaptiveStrategy, AxBalancerStatsStore, AxInMemoryBalancerStatsStore, create_balancer_route_stats, update_balancer_route_stats, sample_balancer_route_health, MultiServiceRouter, ProviderRouter
  • Agents And RLM: agent, AxAgent
  • Flow: flow, AxFlow
  • Optimizers: optimize, playbook, AxPlaybook, AxBootstrapFewShot, AxGEPA, OptimizerEngine, OptimizerEvaluator

Read the full file on GitHub · 51 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 de24e1eb6d87
  2. 4d ago First seen · 51 lines · 37 tokens per session scan A 09fa0155ae8e

Subscribe to this mod's changes

ax-rust-llm is a skill published in the GitHub repository ax-llm/ax (2,893 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 672 once invoked, about $0.0002 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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