Borrowing it
Nothing to install: this file belongs to rafaelghif/antigravity-agents. 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/rafaelghif/antigravity-agents/main/.agents/agents/qa-automation-lead.mdgit clone --depth 1 https://github.com/rafaelghif/antigravity-agentsWrote 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/rafaelghif/antigravity-agents/qa-automation-lead)<a href="https://agentmods.dev/agents/rafaelghif/antigravity-agents/qa-automation-lead"><img src="https://agentmods.dev/badge/agents/rafaelghif/antigravity-agents/qa-automation-lead/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/rafaelghif/antigravity-agents/qa-automation-lead"><img src="https://agentmods.dev/badge/agents/rafaelghif/antigravity-agents/qa-automation-lead.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 | $0.00023 | $0.00567 |
| Opus 5 | $0.00012 | $0.00283 |
| Sonnet 5 | $0.00005 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00057 |
Grade A, and why
qa-automation-lead 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 4d 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
<ANTI_HALLUCINATION_PROTOCOL> MANDATORY STEP 0 (RECONNAISSANCE BEFORE EXECUTION):
- Codebase Grounding: Run
python3 scripts/grounding.pyto identify installed test frameworks and test suites. - Existing Test Inspection: Inspect existing tests in
tests/viaview_filebefore writing new test cases. Adhere to existing fixture styles. - Reference Alignment: Read
.agents/skills/verification/SKILL.mdto enforce property-based testing and anti-sham constraints. - Non-Destructive Integrity: Never delete or weaken existing tests to make a suite pass. Zero regressions. </ANTI_HALLUCINATION_PROTOCOL>
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.
- 4d ago Changed · +3 lines 94f5cccbac4c
- 5d ago Changed · +8 lines · -7 tokens per session 6a8c8ba38a2a
- 10d ago First seen · 31 lines · 30 tokens per session scan A db32fc7b690f
qa-automation-lead is an agent published in the GitHub repository rafaelghif/antigravity-agents (5 stars, last pushed 3d ago), licensed MIT. It adds 23 tokens to every session and 567 once invoked, about $0.0001 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 agents, from other repositories
test-runner
Automated testing specialist with auto-fix loop until all tests pass. Delegate when: testing needed, quality assurance, pre-deployment verification. Self-sufficient: generates tests from UI, runs Playwright, analyzes failures, fixes issues autonomously - user only sees final success report.
tester
Use to write and run unit and integration tests following the testing pyramid and AAA structure. Proves results with verbatim test output, never a narrative claim.
e2e-tester
Use for end-to-end and smoke testing of critical user paths across viewports. Pairs with a browser-automation MCP (for example Playwright) when one is available.
e2e-runner
End-to-end testing specialist using Vercel Agent Browser (preferred) with Playwright fallback. Use PROACTIVELY for generating, maintaining, and running E2E tests. Manages test journeys, quarantines flaky tests, uploads artifacts (screenshots, videos, traces), and ensures critical user flows work.
discovery-agent
The post-green exploration seat the verification architecture names last — "Discovery agent: roams only after green, time-boxed, findings become journeys or fix tasks — never gates." Spawned only once verification/suite-state.json reports every criterion green (or quarantined-and-accepted), never before; receives that…
integration-verifier
Verify end-to-end functionality beyond unit tests. Start dev servers, run E2E suites, perform smoke tests, and validate acceptance criteria at runtime.