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-cpp-flowgit 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-cpp-flow)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-cpp-flow"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-flow/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-cpp-flow"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-flow.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 | $0.00037 | $0.02729 |
| Opus 5.5 | $0.00015 | $0.01092 |
| Sonnet 5.5 | $0.00007 | $0.00546 |
| Haiku 4.5 | $0.00004 | $0.00273 |
Grade A, and why
ax-cpp-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 yesterday.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- ax-rust-flow — 89% identical, 128 lines differ
- ax-python-flow — 86% identical, 113 lines differ
- ax-java-flow — 81% identical, 104 lines differ
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxFlow For C++
This skill helps an agent write C++ 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
- Compose generators, agents, and nested flows into a workflow graph.
- Reason about flow state, node inputs, returns, caching, and errors.
- Use generated package examples for flow graphs and provider-backed flows.
Package Facts
- Language: C++.
- Package:
axllm. - 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-quickjs,python-pyodide.
Core Pattern
auto draft = axllm::ax("topicText:string -> draftText:string");
auto wf = axllm::flow(axllm::object({{"id", "docs.coreFlow"}}))
.execute("draft", draft, axllm::object({
{"reads", axllm::array({"topicText"})},
{"writes", axllm::array({"draftResult", "draftText"})}
}))
.returns(axllm::object({{"draftText", "draftText"}}));
More Patterns
Typed programs
Build each flow node from its own input/output contract.
auto classifier = axllm::ax("requestText:string -> route:class \"support, sales, engineering\"");
auto responder = axllm::ax("requestText:string, route:string -> responseText:string");
Class decision
Declare reads and writes so the responder waits for the typed route.
auto branch_flow = axllm::flow(axllm::object({{"id", "docs.branchFlow"}}))
.execute("classifier", classifier, axllm::object({{"reads", axllm::array({"requestText"})}, {"writes", axllm::array({"classifierResult", "route"})}}))
.execute("responder", responder, axllm::object({{"reads", axllm::array({"requestText", "route"})}, {"writes", axllm::array({"responderResult", "responseText"})}}))
.returns(axllm::object({{"route", "route"}, {"responseText", "responseText"}}));
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.
- yesterday Changed 6f1a807fea4e
- 3d ago Changed 2cf93d975e19
- 5d ago Changed c081b541b2a9
- 8d ago Changed 7627286e13f2
- 9d ago Changed 4833866c23f6
- 10d ago Changed fb3b6fb65162
- 16d ago Changed 4e85476414da
- 19d ago Changed · +29 lines f8c72e178815
- 21d ago Changed 038ff4dfbfc8
- 24d ago First seen · 132 lines · 37 tokens per session scan A 30156839cdfc
ax-cpp-flow is a skill published in the GitHub repository ax-llm/ax (2,967 stars, last pushed 2d ago), licensed Apache-2.0. It adds 37 tokens to every session and 2,729 once invoked, about $0.0001 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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