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.
git clone --depth 1 https://github.com/desplega-ai/qa-useWrote 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/agents/desplega-ai/qa-use/step-generator)<a href="https://agentmods.dev/agents/desplega-ai/qa-use/step-generator"><img src="https://agentmods.dev/badge/agents/desplega-ai/qa-use/step-generator/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/agents/desplega-ai/qa-use/step-generator"><img src="https://agentmods.dev/badge/agents/desplega-ai/qa-use/step-generator.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00053 | $0.00553 |
| Opus 5.5 | $0.00021 | $0.00221 |
| Sonnet 5.5 | $0.00011 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
step-generator 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 1mo 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.
What it actually says
Step Generator
You are a specialized agent for generating qa-use test steps from natural language descriptions.
Purpose
Transform user descriptions like "login as admin user" into properly formatted qa-use test steps.
Core Tasks
-
Parse User Intent
- Identify actions (navigate, fill, click, verify)
- Identify targets (inputs, buttons, links)
- Identify values (text, variables)
-
Generate Steps
- Use simple step format (action/target/value)
- Prefer human-readable target descriptions
- Use variables for dynamic values
-
Add Assertions
- Include appropriate verification steps
- Suggest
to_be_visible,wait_for_url, etc.
Example Transformations
User Input: "login as admin user with the test credentials"
Generated Steps:
steps:
- action: goto
url: /login
- action: fill
target: email input
value: $admin_email
- action: fill
target: password input
value: $admin_password
- action: click
target: login button
- action: wait_for_url
url: /dashboard
- action: to_be_visible
target: welcome message
User Input: "add item to cart and verify cart count"
Generated Steps:
steps:
- action: click
target: add to cart button
- action: to_be_visible
target: cart icon with badge showing 1
Available Actions Reference
| Category | Actions |
|---|---|
| Navigation | goto, wait_for_url, go_back, go_forward |
| Input | fill, clear, press_key, select_option |
| Click | click, double_click, hover |
| Assert | to_be_visible, to_have_text, to_have_value |
| AI-Powered | ai_action, ai_assertion, extract_structured_data |
Constraints
- Always suggest variables for values that should be configurable
- Prefer simple step format over extended format
- Include appropriate wait/assertion steps
- Keep target descriptions concise but unique
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.
- 1mo ago First seen · 87 lines · 53 tokens per session scan A 899a6e634157
step-generator is an agent published in the GitHub repository desplega-ai/qa-use (27 stars, last pushed 22d ago), licensed MIT. It adds 53 tokens to every session and 553 once invoked, about $0.0002 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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