axstream-teach

axstream-teach is a command for coding agents from milind-soni/axstream. It costs 18 tokens per session (295 once invoked), scanned A, original, MIT.

A command that records a repeatable macOS user-interface task as a reusable macro. A macro is a saved sequence of actions that can be replayed later.

In plain words
What is it for?
Teaching, saving, and optionally verifying a UI workflow, then replaying it with values that may change.
Why use it?
It avoids repeating the same manual steps after the task has been taught and checked once.

Command

Part of the axstream plugin — 1 skill, 3 commands, 1 agent, 1 MCP server shipped together

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.

agentmods
npx agentmods add commands/milind-soni/axstream/axstream-teach
Clone the repo
git clone --depth 1 https://github.com/milind-soni/axstream

Or install axstream, the plugin that ships this one along with the rest of its 1 skill, 3 commands, 1 agent, 1 MCP server.

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 axstream-teach

README.md
[![agentmods](https://agentmods.dev/badge/commands/milind-soni/axstream/axstream-teach.svg)](https://agentmods.dev/commands/milind-soni/axstream/axstream-teach)
Your own site
<a href="https://agentmods.dev/commands/milind-soni/axstream/axstream-teach"><img src="https://agentmods.dev/badge/commands/milind-soni/axstream/axstream-teach.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00018 $0.00295
Opus 5 $0.00009 $0.00148
Sonnet 5 $0.00004 $0.00059
Haiku 4.5 $0.00002 $0.00030

Measured 5d ago against content hash ea01b73d53b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

axstream-teach 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.

commands/axstream-teach.md · 15 lines

What it actually says

The user wants to teach axstream a repeatable macOS UI task: $ARGUMENTS

Follow the axstream skill's compile loop precisely:

  1. If the task description is empty, ask what task to teach.
  2. Check axstream list --json first — if a macro for this task already exists, say so and stop (or offer to re-verify it).
  3. Perform the task ONCE using the axstream MCP act tool with a single assert-guarded batch (prefer key shortcuts over clicking chrome; never target text the batch itself types; end with an assert that only passes when the outcome is real). Use screen_text/find to ground targets — not screenshots.
  4. If the batch succeeded, save it with write_macro: kebab-case name, a good when_to_use, slots for the values that vary (with example values), and the terminal assert.
  5. If a live re-run is side-effect-safe, run verify_macro so it earns the verified stamp. If re-running would duplicate a side effect (sent message, created record), say why you're leaving it unverified.
  6. Report: the macro name, its slots, verified state, and the one-liner to use it next time (axstream replay <name> --slots ...).
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. 5d ago First seen · 15 lines · 18 tokens per session scan A ea01b73d53b6

Subscribe to this mod's changes

axstream-teach is a command published in the GitHub repository milind-soni/axstream (20 stars, last pushed 27d ago), licensed MIT. It adds 18 tokens to every session and 295 once invoked, about $0.0001 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.