Claude Code: Everything You Need to Know is a practical guide to using Claude Code, an AI coding assistant that can be extended with commands, skills, hooks, subagents, workflows, and external tool servers. Developers use it to learn Claude Code from basic prompting through team and automation setups. The catalogue entries are examples of the guide's Claude Code extensions and workflows.
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/wesammustafa/Claude-Code-Everything-You-Need-to-KnowWrote 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/commands/wesammustafa/claude-code-everything-you-need-to-know/test)<a href="https://agentmods.dev/commands/wesammustafa/claude-code-everything-you-need-to-know/test"><img src="https://agentmods.dev/badge/commands/wesammustafa/claude-code-everything-you-need-to-know/test.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 | $0.00017 | $0.01068 |
| Opus 5 | $0.00009 | $0.00534 |
| Sonnet 5 | $0.00003 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
test 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 8d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
✅ LLM Unit Testing Best Practices Checklist
Focused on testing internal logic, not API endpoints
🔍 Context Verification
-
Understand the Purpose of the Component
Do not infer from names. Derive intent from behavior and direct usage. -
Identify Critical Inputs and Outputs
Cover expected, edge, malformed, and unexpected scenarios. -
Determine the True Unit Under Test
Target the logic layer (e.g., services, classes, helpers)—not API routes or request handlers. -
Avoid API Testing Patterns
Do not simulateNextRequest,fetch, orExpressroutes unless explicitly instructed. -
Apply Strict Scope Discipline
Don’t touch other modules, files, or features unless clearly necessary. -
Always Tend to Simplify
Clear, modular tests beat overly clever ones. -
Avoid Adding Dependencies Unless Justified
Don't install libraries unless there's a strong, test-specific reason. -
Preserve Test Configuration
Do not alter global setups, environments, or shared mocks unless explicitly asked. -
Use Subagents for Complex Flows
When testing decision trees or workflows, spawn helpers to aid decomposition and reliability.
⚙️ Test Structure
-
Test Core Behavior, Not Wiring
The unit under test must not include route handlers, HTTP abstractions, or serialization logic. -
Follow the Given–When–Then Format
Reinforces clarity and intention behind test actions. -
Name Tests Clearly
Prefer:should_<action>_when_<condition>_given_<context>
🧪 Test Cases
-
Focus on Internal Logic Units
Classes, methods, services, pure functions—these are the test targets. -
Cover Valid and Invalid Inputs
Ensure the unit responds correctly to correct and incorrect usage. -
Avoid Over-Mocking
Only mock I/O or external services—never mock the unit’s own logic. -
Don’t Test API Response Codes or Routing Behavior
This is not the place forPOST(req)or handler-level simulation.
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.
- 8d ago First seen · 141 lines · 17 tokens per session scan A 6b9650375add
test is a command published in the GitHub repository wesammustafa/Claude-Code-Everything-You-Need-to-Know (2,969 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,068 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 2026-08-30.
Other commands, from other repositories
test
A command for running a project's automated tests, which are checks that software behaves as expected. It detects common project types and chooses a matching test command.
qa
A quality-assurance testing agent that checks whether software meets its stated acceptance requirements. It tests normal use, edge cases, failures, and regressions, then classifies the problems it finds.
verify
A command that runs a project's main quality checks in sequence: build, type checking, linting, tests, security scanning, and Git status checks. Linting checks code style and common mistakes; Git tracks file changes.
ccc-test-coverage
Analyze test coverage gaps and generate missing tests to reach 80%+ coverage threshold.
test-coverage
Analyze test coverage and generate missing tests to reach 80%+ coverage.
audit-agents-skills
Audit quality of agents, skills, and commands in a Claude Code project.