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 agentmods add skills/milind-soni/axstream/axstreamnpx skills add milind-soni/axstream --skill axstreamgit clone --depth 1 https://github.com/milind-soni/axstreamWrote 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/milind-soni/axstream/axstream)<a href="https://agentmods.dev/skills/milind-soni/axstream/axstream"><img src="https://agentmods.dev/badge/skills/milind-soni/axstream/axstream.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00096 | $0.03249 |
| Opus 5 | $0.00048 | $0.01625 |
| Sonnet 5 | $0.00019 | $0.00650 |
| Haiku 4.5 | $0.00010 | $0.00325 |
Grade A, and why
axstream 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 5d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
axstream — replay UI tasks instead of re-deriving them
First decision: delegate multi-step UI work to the computer-use subagent
If your harness has a Task/Agent tool and an agent named computer-use
(plugin form: axstream:computer-use) is available, DELEGATE any multi-step
UI task to it instead of driving the UI from the main conversation. It runs
on a fast model with exactly the tools below, replays a matching macro when
one exists, drives novel tasks as batched verified actions, saves a macro on
success, and returns a compact outcome report — so screenshots and OCR dumps
never enter your context, and your own turns stay fast for the rest of the
session. It can run in the background while you continue other work.
- Delegate: "open X and do Y then Z", click-through flows, reproduce-a-bug in a running app, verify-something-on-screen, anything worth a macro.
- Do it yourself (tools below): a single action, or when you must reason about visual state mid-flow.
- Authorize explicitly: if the task includes an irreversible step (send,
pay, delete), name that exact step in the delegation prompt — the agent
refuses
risk:"risky"ops it wasn't explicitly given.
Fast primitives (axstream MCP tools, if connected)
When the axstream MCP server is available, prefer its primitives over
screenshot-driven computer use for mechanical steps — they run on-device in
milliseconds and return text, not images:
screen_text(~200ms) — the window as text lines with coordinates. Use INSTEAD of a screenshot to learn what's on screen.find(~30-600ms) — locate one control/text; returns a click-ready target.act— a whole batch of actions in ONE call (open/click/type/key +assertguards). Plan the sequence once; don't take a model turn per step.check(~250ms) — verify an outcome ("results page shows my query") without a verification screenshot.begin_capture+compile_capture— wrap Codex's initialized nativeskycomputer-use object, record successful actions plus their preceding AX state, then compile that real trace into a parameterized macro. This is the native fallback bridge; cua-driver's recorder cannot observeskycalls.
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.
- 5d ago First seen · 231 lines · 96 tokens per session scan A 15c3be923188
axstream is a skill published in the GitHub repository milind-soni/axstream (20 stars, last pushed 26d ago), licensed MIT. It adds 96 tokens to every session and 3,249 once invoked, about $0.0005 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 2026-08-30.
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