ax-rust-agent-memory-skills

ax-rust-agent-memory-skills is a skill for Claude Code, Codex from ax-llm/ax. It costs 41 tokens per session (819 once invoked), scanned A, a copy of ax-python-agent-memory-skills, Apache-2.0.

A Rust guide for giving axllm agents access to memories and skill instructions. It covers searching available entries, loading selected guidance, and recording which items affected a response.

In plain words
What is it for?
Use it to add memory recall, discover skills, preload instructions, and track the memories or skills used during each run.
Why use it?
It helps long-running agents use relevant past knowledge without treating every stored item as active context.

Skill for Claude CodeCodex

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

Good fit Use it to add memory recall, discover skills, preload instructions, and track the memories or skills used during each run.

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Install with agentmods
npx agentmods add skills/ax-llm/ax/ax-rust-agent-memory-skills
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-rust-agent-memory-skills
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-agent-memory-skills

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-rust-agent-memory-skills"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-rust-agent-memory-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 819 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 91% 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 $0.00041 $0.00819
Opus 5 $0.00020 $0.00409
Sonnet 5 $0.00008 $0.00164
Haiku 4.5 $0.00004 $0.00082

Measured today against content hash 08637d226752, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ax-rust-agent-memory-skills 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

This is a copy

91% identical to ax-python-agent-memory-skills — 30 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/rust/skills/ax-rust-agent-memory-skills/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AxAgent Memory And Skills 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

  • Load memories or skill guides into an RLM agent run.
  • Use static skillsCatalog or memoriesCatalog search without host callbacks.
  • Preload constructor or forward-time skills with deterministic id merging.
  • Track which memories or skills actually influenced a turn.
  • Register non-fatal loaded/used observers in native option maps or target callback wrappers.

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

let helper = axllm::agent("question:string -> answer:string")?;
let out = helper.forward(&llm, inputs, None)?;

Lifecycle And State

  • Constructor skills seed the loaded-skill prompt without firing load observers.
  • Forward-time skills override constructor entries by normalized ID and remain loaded for later calls. IDs and names are trimmed, malformed entries are skipped, valid empty content is preserved, and rendered entries are ID-sorted.
  • A forward input named memories seeds the first actor turn. Recalled entries merge by ID for that run, then memory state resets before the next forward.
  • onSkillsSearch / onMemoriesSearch take precedence over static catalogs. Without a host callback, skillsCatalog / memoriesCatalog use the built-in deterministic lexical ranker.
  • onLoadedMemories / onLoadedSkills observe runtime recall and discovery, not constructor presets. onUsedMemories / onUsedSkills emit one consolidated notification per forward. Forward observers override constructor observers, and observer errors are ignored.
  • relevanceRanking produces advisory skill and memory hints using the same tokenization, weighting, tie suppression, limits, snippets, and already-loaded exclusion as TypeScript.
  • get_state() and set_state(...) preserve the legacy bare-runtime snapshot shape. Use export_runtime_state() and restore_runtime_state(...) for the complete portable agent snapshot, including loaded skills and constructor-preset reapplication. Do not interchange the two shapes.

Read the full file on GitHub · 63 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 08637d226752
  2. yesterday Changed 2aa1d3c9401b
  3. 6d ago First seen · 63 lines · 41 tokens per session scan A 7581627bd35c

Subscribe to this mod's changes

ax-rust-agent-memory-skills is a skill published in the GitHub repository ax-llm/ax (2,894 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 819 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to ax-python-agent-memory-skills, differing in 30 lines, and is treated as a copy.