Borrowing it
Nothing to install: this file belongs to c9r-io/orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/c9r-io/orchestrator/main/.claude/skills/e2e-testing/SKILL.mdgit clone --depth 1 https://github.com/c9r-io/orchestratorWrote 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/c9r-io/orchestrator/e2e-testing)<a href="https://agentmods.dev/skills/c9r-io/orchestrator/e2e-testing"><img src="https://agentmods.dev/badge/skills/c9r-io/orchestrator/e2e-testing/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/c9r-io/orchestrator/e2e-testing"><img src="https://agentmods.dev/badge/skills/c9r-io/orchestrator/e2e-testing.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 | $0.00036 | $0.00471 |
| Opus 5.5 | $0.00014 | $0.00188 |
| Sonnet 5.5 | $0.00007 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
e2e-testing 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 2mo 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
E2E Testing (Playwright)
Use the existing Playwright configuration and a small set of stable, behavior-focused journeys.
Repository Layout
- Frontend package:
gui/package.json - Playwright config:
gui/playwright.config.ts - Browser tests:
gui/tests/e2e/ - Default test server: the Vite server declared by the Playwright config
- Native host:
crates/gui/; use Tauri-specific tests only when native commands are in scope
Do not assume Docker Compose, Kubernetes, or a legacy portal tree. If a different target repository owns those surfaces, discover and verify them there first.
Run Existing Tests
cd gui
npm run test:e2e
Use the package's test:all script when unit, coverage, E2E, and build evidence are all required. Install browsers or packages only with user approval when the environment is missing them.
Authoring Tests
- Prefer
getByRole,getByLabel, and accessible names over CSS structure. - Avoid sleeps; wait for visible state, URLs, responses, or emitted events.
- Keep each scenario narrow and deterministic.
- Use the existing mock and transport boundaries. If a daemon is required, apply a deterministic fixture from
fixtures/manifests/bundles/and isolate it by project. - Capture a trace or screenshot for failures when the config supports it.
Example:
import { expect, test } from "@playwright/test";
test("critical control remains reachable", async ({ page }) => {
await page.goto("/");
await expect(page.getByRole("main")).toBeVisible();
});
Flake Triage
- Re-run the single failing spec with the same revision and server state.
- Inspect the retained trace and browser console.
- Replace timing assumptions and shared state with explicit conditions and setup.
- Re-run the single spec, then
npm run test:e2e, then the relevant build/tests.
Never weaken an assertion or add retries without identifying the nondeterministic boundary.
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.
- 2mo ago First seen · 56 lines · 36 tokens per session scan A 64cdec48156d
e2e-testing is a skill published in the GitHub repository c9r-io/orchestrator (21 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 471 once invoked, about $0.0001 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.
Other skills, from other repositories
webapp-testing
Start/reuse a local app, wait for readiness, inspect rendered state/console/network, act from observed selectors, and verify with evidence.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
cw-dogfood
Use when a Codewhale change needs proving in the real product, or when asked to build/install/dogfood the local binaries: stamped release build, atomic install, fresh-shell verification, and the manual QA that gates cannot cover.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code.