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 RasaHQ/rasa-agent-skills --skill rasa-writing-e2e-testsgit clone --depth 1 https://github.com/RasaHQ/rasa-agent-skillsWrote 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/rasahq/rasa-agent-skills/rasa-writing-e2e-tests)<a href="https://agentmods.dev/skills/rasahq/rasa-agent-skills/rasa-writing-e2e-tests"><img src="https://agentmods.dev/badge/skills/rasahq/rasa-agent-skills/rasa-writing-e2e-tests/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/rasahq/rasa-agent-skills/rasa-writing-e2e-tests"><img src="https://agentmods.dev/badge/skills/rasahq/rasa-agent-skills/rasa-writing-e2e-tests.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 | $0.02229 |
| Opus 5 | $0.00026 | $0.01115 |
| Sonnet 5 | $0.00011 | $0.00446 |
| Haiku 4.5 | $0.00005 | $0.00223 |
Grade A, and why
rasa-writing-e2e-tests 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 10d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing E2E Tests in Rasa
E2E tests validate the assistant as a whole system — from user message to bot response,
including flow execution, slot filling, custom actions, and generative responses. They
live as YAML files in the tests/ directory and run via rasa test e2e.
Workflow
- Identify the conversation scenario to test (happy path, edge case, error path).
- Review existing tests — extend before creating new ones.
- Create or open a YAML file under
tests/(see "File organization"). - Write the test case with
usersteps and expected outcomes (see "Writing test cases"). - Add assertions for detailed validation if needed (see "Assertions").
- Set up fixtures if the test requires pre-filled slots (see "Fixtures").
- Stub custom actions if needed to avoid external calls (see "Stubbing custom actions").
- Run tests with
rasa test e2e(see "Running tests").
Key principles
- One test case per scenario: happy path, cancellation, validation failure, etc.
- Start with a
userstep: the test runner begins evaluation afteraction_session_start. - Alternate
userand expected outcomes: avoid consecutiveusersteps. - Use assertions for CALM-specific checks:
flow_started,flow_completed,action_executedgive stronger guarantees than matching bot text. - Use
botoruttersteps for simple cases: when you only need to verify the response text or domain response name. - Use fixtures to avoid repetitive setup: shared context like authentication goes
in
conftest.yml.
File organization
Test files live under tests/ and are automatically discovered by Rasa. Subdirectories
are supported — pass the path as a positional argument to rasa test e2e.
tests/
├── e2e_test_cases.yml # default test file
├── conftest.yml # shared fixtures (visible to all tests)
├── booking/
│ ├── conftest.yml # fixtures scoped to this directory
│ ├── test_book_trip.yml
│ └── test_cancel_booking.yml
└── payments/
└── test_process_payment.yml
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.
- 10d ago First seen · 262 lines · 53 tokens per session scan A d9cdf938fe05
rasa-writing-e2e-tests is a skill published in the GitHub repository RasaHQ/rasa-agent-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,229 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
test-warp-ui
Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.
test-electron-app
Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…
pyats-dynamic-test
Generate and execute deterministic pyATS aetest validation scripts - interface state, OSPF neighbors, BGP paths, ping matrices, and custom compliance tests. Use when writing a network test, validating post-change state, running pass/fail checks, or building automated regression tests.
test-loop
Plan, generate, and heal an executable E2E test suite from approved acceptance criteria (web and mobile).
playwright-cli
Automates browser interactions for testing and validating your own web applications using playwright-cli. Use when you need terminal-first browser control for navigation, form filling, screenshots, tracing, bound browser sessions, debugging, or generating Playwright test code. Only use against applications you own or…