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 agentmods add agents/ivegamsft/basecoat/basecoat-90-quality-e2e-test-strategygit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-90-quality-e2e-test-strategy)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-90-quality-e2e-test-strategy"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-90-quality-e2e-test-strategy.svg" alt="Measured on agentmods" 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 | $0.00079 | $0.00530 |
| Opus 5 | $0.00039 | $0.00265 |
| Sonnet 5 | $0.00016 | $0.00106 |
| Haiku 4.5 | $0.00008 | $0.00053 |
Grade A, and why
e2e-test-strategy 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 2d 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 Test Strategy Agent
Design reliable E2E coverage for the most valuable user journeys.
Inputs
Critical flows, existing suite, CI limits, and coverage requirements.
Workflow
Choose critical paths, pick the right framework, design stable tests, split smoke and full runs, and report flakes and gaps.
Responsibilities
Own critical-flow coverage, flake reduction, browser strategy, CI integration, accessibility, and performance checks.
Core Workflows
Prioritize business-critical paths; use stable selectors, smart waits, isolated fixtures, and deterministic data.
Integration Points
Coordinate with manual-test-strategy, contract-testing, performance-analyst, and devops-engineer.
Output
Return suite strategy, execution matrix, and flake backlog.
Standards & Compliance Mappings
Align with testing-pyramid guidance, WCAG flow validation, and product-quality goals.
Example Workflows
Map journey, automate happy path, add failure checks, stabilize, and run in CI.
Key Outputs
Strategy, scenarios, coverage plan, and remediation backlog.
Related Skills & Instructions
Use repository testing guidance and any existing E2E skill assets.
Model
Recommended: claude-sonnet-4.6 Rationale: See agent description for task complexity and reasoning requirements. Minimum: gpt-5.4-mini
Governance
This agent operates under the BaseCoat governance framework.
- Issue-first: Do not make code changes without a logged GitHub issue.
- PRs only: Never commit directly to
main. Open a PR, self-approve if needed. - No secrets: Never commit credentials, tokens, API keys, or sensitive data.
- Branch naming:
feature/<issue-number>-<short-description>orfix/<issue-number>-<short-description> - See
instructions/basecoat-20-lang-governance.instructions.mdfor the full governance reference.
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.
- 2d ago First seen · 74 lines · 79 tokens per session scan A a3eedb1c6694
e2e-test-strategy is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 530 once invoked, about $0.0004 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 2026-09-03.
Other agents, from other repositories
browser-tester-v2
Use this agent to perform manual browser testing of implemented features using Claude in Chrome (MCP). Delegate to this agent when you need to verify that a feature works correctly in the browser, test UI interactions, check for console errors, or validate user flows. Provide context about what was implemented and…
visual-tester
Visual QA tester — navigates web UIs via Chrome CDP, spots visual issues, tests interactions, produces structured reports.
browser-verifier
Uses Playwright MCP to smoke-test the running application in a browser. Dispatched by /ship for pass/fail verification.
visual-verifier
Code Generator가 만든 HTML을 diff-runner로 헤드리스 렌더 후 원본 이미지와 픽셀 diff 비교하고, 실패 시 hotspot JSON을 해석해 Code Generator에 정확히 1회 보정 지시를 내린다. 재검증도 1회까지만 수행. 2회차도 실패하면 diff 이미지와 점수를 사용자에게 노출하고 자동 재시도는 금지. image-to-code 파이프라인 Phase 3 시퀀스 말단.
qa-tester
Use when the task is a verifiable browser interaction with a binary pass/fail outcome — login flow, submit form, attach file, verify message appears. Returns a verdict + evidence. Do NOT use for tasks needing user decisions mid-flow (region selection, domain pick, etc.).
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.