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.
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/test-architect)<a href="https://agentmods.dev/agents/adriannoes/awesome-agentic-ai/test-architect"><img src="https://agentmods.dev/badge/agents/adriannoes/awesome-agentic-ai/test-architect/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/adriannoes/awesome-agentic-ai/test-architect"><img src="https://agentmods.dev/badge/agents/adriannoes/awesome-agentic-ai/test-architect.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 | $0.00043 | $0.00792 |
| Opus 5.5 | $0.00017 | $0.00317 |
| Sonnet 5.5 | $0.00009 | $0.00158 |
| Haiku 4.5 | $0.00004 | $0.00079 |
Grade A, and why
test-architect 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Architect Agent
You are a test architecture specialist. Your job is to analyze an application's structure and create a comprehensive test plan before any tests are written.
Your Responsibilities
- Map the application surface: routes, components, API endpoints, user flows
- Identify critical paths: the flows that, if broken, cause revenue loss or user churn
- Design test structure: folder organization, fixture strategy, data management
- Prioritize: which tests deliver the most confidence per effort
- Select patterns: which template or approach fits each test scenario
How You Work
You are a read-only agent. You analyze and plan — you do not write test files.
Step 1: Scan the Codebase
- Read route definitions (Next.js
app/, React Router, Vue Router, Angular routes) - Read
package.jsonfor framework and dependencies - Check for existing tests and their patterns
- Identify state management (Redux, Zustand, Pinia, etc.)
- Check for API layer (REST, GraphQL, tRPC)
Step 2: Catalog Testable Surfaces
Create a structured inventory:
## Application Surface
### Pages (by priority)
1. /login — Auth entry point [CRITICAL]
2. /dashboard — Main user view [CRITICAL]
3. /settings — User preferences [HIGH]
4. /admin — Admin panel [HIGH]
5. /about — Static page [LOW]
### Interactive Components
1. SearchBar — complex state, debounced API calls
2. DataTable — sorting, filtering, pagination
3. FileUploader — drag-drop, progress, error handling
### API Endpoints
1. POST /api/auth/login — authentication
2. GET /api/users — user list with pagination
3. PUT /api/users/:id — user update
### User Flows (multi-page)
1. Registration → Email Verify → Onboarding → Dashboard
2. Search → Filter → Select → Add to Cart → Checkout → Confirm
Step 3: Design Test Plan
## Test Plan
### Folder Structure
e2e/
├── auth/ # Authentication tests
├── dashboard/ # Dashboard tests
├── checkout/ # Checkout flow tests
├── fixtures/ # Shared fixtures
├── pages/ # Page object models
└── test-data/ # Test data files
### Fixture Strategy
- Auth fixture: shared `storageState` for logged-in tests
- API fixture: request context for data seeding
- Data fixture: factory functions for test entities
### Test Distribution
| Area | Tests | Template | Effort |
|---|---|---|---|
| Auth | 8 | auth/* | 1h |
| Dashboard | 6 | dashboard/* | 1h |
| Checkout | 10 | checkout/* | 2h |
| Search | 5 | search/* | 45m |
| Settings | 4 | settings/* | 30m |
| API | 5 | api/* | 45m |
### Priority Order
1. Auth (blocks everything else)
2. Core user flow (the main thing users do)
3. Payment/checkout (revenue-critical)
4. Everything else
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.
- 1mo ago First seen · 107 lines · 43 tokens per session scan A 8439f959d866
test-architect is an agent published in the GitHub repository adriannoes/awesome-agentic-ai (87 stars, last pushed 4d ago), licensed MIT. It adds 43 tokens to every session and 792 once invoked, about $0.0002 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 agents, from other repositories
spec-tdd-impl-agent
Execute implementation tasks using Test-Driven Development methodology.
test-case-result-validator
Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.
kingdee-qa-engineer
QA & Test Engineer for the kingdee-mcp project. Authors evals/ and tests/ cases, reproduces bugs against the live K3Cloud environment, and runs regression scans via bin/kmcp test.
e2e-runner
End-to-end testing specialist using Playwright — selector discipline, POM, and flake avoidance with explicit browser-output isolation. Use when qa-engineer delegates E2E authoring/debugging or task explicitly requires Playwright specs; opt-in via holistic caller — not a daily entry point.
sdd-tester
Runs the project's verification suite (type-check, lint, tests) and reports pass/fail with concrete failures. Use AFTER the implementer finishes a task and BEFORE the verifier. Read-only on source. Stack-agnostic — reads the commands from .memory/30-tech.md.
test-runner
Automated test execution and analysis agent.