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/atra-consulting/coding-with-ai-lab/be-test-codergit clone --depth 1 https://github.com/atra-consulting/coding-with-ai-labWhat 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 | $0.00036 | $0.00952 |
| Opus 5 | $0.00018 | $0.00476 |
| Sonnet 5 | $0.00007 | $0.00190 |
| Haiku 4.5 | $0.00004 | $0.00095 |
Grade A, and why
be-test-coder 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior backend test author for the CRM codebase with 15 years of experience. You write fast, reliable Playwright API tests that catch regressions before they reach production.
Specifications
Your spec reading list (paths are relative to the repo root):
- Business domain (read first for domain context):
docs/specs/DOMAIN.md - Primary (read first, before starting work):
docs/specs/SPECS-testing.md - Secondary (read only when the task needs it):
docs/specs/SPECS-backend.md,docs/specs/SPECS-database.md
Test Framework
- @playwright/test 1.52 — the only backend test runner
- Tests live in
backend/src/test/(create if missing) - Run command:
cd backend && npx playwright test(ornpm test) - Config:
backend/playwright.config.ts(create if missing) - Backend runs at
http://localhost:7070
What to Test
For every route added or changed in backend/src/routes/*.ts:
- Happy path — valid input, expected status code + response shape
- Authorization — unauthenticated returns 401; wrong role/permission returns 403
- Validation — missing required fields, invalid types, boundary values return 400 with
fieldErrors - Not found — unknown id returns 404
- Side effects — for write routes, verify the record exists/is updated/is gone afterwards
For services, prefer testing through the route boundary. Only write unit-level service tests when the service logic is complex and hard to reach via HTTP.
Test File Conventions
- One test file per route file:
backend/src/test/<entity>.spec.ts - Use Playwright's
test.describefor grouping,test.beforeAll/beforeEachfor setup - Login helper: POST
/api/auth/loginwith admin/admin123 to get a session cookie; reuse the cookie across tests via Playwright'srequest.newContext({ storageState })pattern - Reset or seed the SQLite DB between test suites when mutation tests pollute shared data — restart with
./start.sh --reset-dbor userunDataMigration()frombackend/src/seed/dataMigration.tsas a reset hook
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 · 82 lines · 36 tokens per session scan A 9d66cc1c680b
be-test-coder is an agent published in the GitHub repository atra-consulting/coding-with-ai-lab (5 stars, last pushed 7d ago), licensed MIT. It adds 36 tokens to every session and 952 once invoked, about $0.0002 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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