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 TimothyHan/qa-buddy-skills --skill e2e-setupgit clone --depth 1 https://github.com/TimothyHan/qa-buddy-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/timothyhan/qa-buddy-skills/e2e-setup)<a href="https://agentmods.dev/skills/timothyhan/qa-buddy-skills/e2e-setup"><img src="https://agentmods.dev/badge/skills/timothyhan/qa-buddy-skills/e2e-setup.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 46 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 150 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 165 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 169 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 170 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00152 | $0.02392 |
| Opus 5 | $0.00076 | $0.01196 |
| Sonnet 5 | $0.00030 | $0.00478 |
| Haiku 4.5 | $0.00015 | $0.00239 |
Grade A, and why
e2e-setup 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 today.
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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/qa-e2e-setup: Playwright Automation Setup
Configure Playwright for this team's app, once. Everything decided here is
recorded in playwright/AUTOMATION.md — /qa-e2e-pom and /qa-e2e-write read it
on every run instead of re-asking.
Code standards: read {{REFERENCE_PATH}}/playwright-patterns.md before
generating any config, fixture, or spec — it carries the decision tables,
templates, and pitfalls this skill's scaffold must follow. Then the project
learnings file (per the preamble) — active LRN- entries scoped here
override those patterns.
Constraints
- Probe before asking. Anything discoverable from the running app (auth mechanism, API spec, session storage) is probed, never asked.
- Recommend, don't open-question. Every interview step presents a recommendation derived from the probe, marked "(Recommended)", with alternatives. Never ask "what authentication strategy would you like?" without a recommendation attached. Headless: the recommendation is the decision — record it under an Auto-decisions line in AUTOMATION.md.
- Every decision lands in AUTOMATION.md. If it isn't recorded, it will be re-asked later — that's a defect.
- Setup is done only when the scaffold has executed.
npx playwright test --listmust exit 0 AND the generated smoke spec must pass against the app. Until then the status is BLOCKED, not DONE. - Credentials go in
.env(gitignored), never in committed files or chat.
Phase 1: Inputs
Collect from the user (or the invoking context; headless: from env BASE_URL,
TEST_USER, TEST_PASS, or .env):
- App base URL (local or pre-production)
- Test account credentials + how many test accounts exist (caps parallelism)
- Target repo/directory for the automation code
Check for an existing setup: playwright/AUTOMATION.md present → show it and
ask reconfigure-or-keep, like /qa-setup does with .qabuddy.json. Headless:
keep — never reconfigure.
Phase 2: Probe the App
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · +4 lines 8093a8401896
- 8d ago First seen · 202 lines · 152 tokens per session scan A 7d838b9f601c
e2e-setup is a skill published in the GitHub repository TimothyHan/qa-buddy-skills (7 stars, last pushed today), licensed Apache-2.0. It adds 152 tokens to every session and 2,392 once invoked, about $0.0008 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.
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