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 AbdulmalekAlshugaa/claude-agents-fullstack --skill testinggit clone --depth 1 https://github.com/AbdulmalekAlshugaa/claude-agents-fullstackWrote 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/abdulmalekalshugaa/claude-agents-fullstack/testing)<a href="https://agentmods.dev/skills/abdulmalekalshugaa/claude-agents-fullstack/testing"><img src="https://agentmods.dev/badge/skills/abdulmalekalshugaa/claude-agents-fullstack/testing/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/skills/abdulmalekalshugaa/claude-agents-fullstack/testing"><img src="https://agentmods.dev/badge/skills/abdulmalekalshugaa/claude-agents-fullstack/testing.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 | $0.00054 | $0.00895 |
| Opus 5.5 | $0.00022 | $0.00358 |
| Sonnet 5.5 | $0.00011 | $0.00179 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
testing 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing (Vitest + Testing Library + in-process DB)
Priority order — spend effort where bugs live
- Services — business logic + DB access. Highest value.
- Zod schemas — boundary validation edge cases.
- Pure helpers in
lib/. - Components — the four states (loading/error/empty/populated) and user interactions. Test through the DOM, not implementation.
- Skip: trivial pass-through code, styles, Next.js framework behavior.
Service tests with a real (in-process) database
Test real query behavior, constraints, and indexes without mocking the ORM.
Postgres (default) — PGlite, an in-process Postgres:
import { PGlite } from '@electric-sql/pglite'
import { drizzle } from 'drizzle-orm/pglite'
import { migrate } from 'drizzle-orm/pglite/migrator'
import * as schema from '@/lib/db/schema'
const client = new PGlite()
export const testDb = drizzle(client, { schema })
beforeAll(async () => {
// apply the committed migrations (or push the schema) to the fresh instance
await migrate(testDb, { migrationsFolder: './drizzle' })
})
afterEach(async () => {
// truncate all tables between tests
})
Put this in a shared src/test/setup-db.ts and stub @/lib/db with the test
instance via vi.mock so services under test hit PGlite.
Mongo — mongodb-memory-server:
import { MongoMemoryServer } from 'mongodb-memory-server'
import mongoose from 'mongoose'
let mongod: MongoMemoryServer
beforeAll(async () => {
mongod = await MongoMemoryServer.create()
await mongoose.connect(mongod.getUri())
})
afterEach(async () => {
await mongoose.connection.db?.dropDatabase()
})
afterAll(async () => {
await mongoose.disconnect()
await mongod.stop()
})
Stub dbConnect to a no-op in tests (connection is already open).
Conventions
- Test files:
<name>.test.ts(x)next to the code under test. - Names describe behavior:
it('returns 409 result when email already exists'). - Arrange with real service calls or direct model inserts — no fixture dumps that hide what matters to the test.
- Every bug fix ships with a regression test that fails without the fix.
- Assert on outcomes (returned DTO, DB state, rendered text), not on spies, unless the call itself is the contract (e.g. revalidatePath was invoked).
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 Changed · +23 lines · +9 tokens per session 77daf8c9802a
- 1mo ago First seen · 80 lines · 45 tokens per session scan A 49a28fd6fd4d
testing is a skill published in the GitHub repository AbdulmalekAlshugaa/claude-agents-fullstack (4 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 895 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 2026-08-31.
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eval-dataset-design
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tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
cua-driver
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jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.