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/elbwalker/walkeros/walkeros-using-step-examplesnpx skills add elbwalker/walkerOS --skill walkeros-using-step-examplesgit clone --depth 1 https://github.com/elbwalker/walkerOSWhat 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 | $0.00037 | $0.04677 |
| Opus 5 | $0.00018 | $0.02338 |
| Sonnet 5 | $0.00007 | $0.00935 |
| Haiku 4.5 | $0.00004 | $0.00468 |
Grade A, and why
walkeros-using-step-examples 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 2d 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 — 569 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Step Examples
Overview
Step examples are structured { in, out } pairs (with optional mapping for
destinations) that define the expected input/output behavior of each step in a
flow. They serve as:
- Test fixtures for automated
it.eachtesting - Simulation data for
walkeros push --simulate - MCP context for AI-assisted development
- Documentation showing real-world usage
Every source, transformer, and destination can ship step examples alongside its code.
The Three Type Zones
Each step in a flow sits at a boundary between arbitrary external formats and the walkerOS event model:
Source Transformer Destination
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ in: arbitrary │ │ in: walkerOS │ │ in: walkerOS │
│ (HTTP req, DOM) │ │ Event │ │ Event │
│ │ │ │ │ │ │ │ │
│ ▼ │ │ ▼ │ │ ▼ │
│ out: walkerOS │ │ out: walkerOS │ │ out: arbitrary │
│ Event │ │ Event | false │ │ (gtag, API) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
arbitrary ──────────── walkerOS.Event ──────────── arbitrary
- Source converts platform-specific input into a walkerOS event
- Transformer receives and returns walkerOS events (or
falseto filter) - Destination converts a walkerOS event into vendor-specific output
The in/out/trigger Format
Every step example is an object with in (input), out (array of observable
effects), and optional trigger (how to invoke):
type StepEffect = readonly [callable: string, ...args: unknown[]];
type StepOut = readonly StepEffect[];
interface StepExample {
in: unknown; // Platform-specific input
out: StepOut; // Array of effect tuples - see shape rules below
trigger?: { type?: string; options?: unknown }; // How to invoke
mapping?: unknown; // Destination mapping rule
command?: 'config' | 'consent' | 'user' | 'run'; // Route to walker command
}
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.
- 2d ago First seen · 569 lines · 37 tokens per session scan A d0f445291887
walkeros-using-step-examples is a skill published in the GitHub repository elbwalker/walkerOS (343 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 4,677 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 2026-08-30.
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