skills/component-patterns/SKILL.md
Per-component-type verification approaches. Use when generating verification scripts for different component types.
npx skillsauth add ashaykubal/essential-agents-skills component-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Provide verification strategies for different component types. This skill defines how to test real behavior for CLIs, servers, parsers, processes, databases, and external APIs.
Load this skill when:
Analyze the code to determine component type based on these indicators:
| Indicators | Component Type | Pattern Reference |
|------------|----------------|-------------------|
| Imports child_process, has spawn/exec/execSync | Process Spawner | references/pattern-process-spawner.md |
| Imports http/https/express/fastify/koa, has listen() | HTTP Server | references/pattern-http-server.md |
| Imports fs, reads/parses files, has parse functions | File Parser | references/pattern-file-parser.md |
| Has CLI argument parsing (process.argv, yargs, commander, argparse) | CLI Command | references/pattern-cli-command.md |
| Imports database driver (pg, mysql, mongoose, sqlite, prisma) | Database | references/pattern-database.md |
| Makes outbound HTTP calls (fetch, axios, got, requests) | External API | references/pattern-external-api.md |
Each pattern reference contains:
| Pattern | File | Languages |
|---------|------|-----------|
| CLI Command | references/pattern-cli-command.md | Bash, Node, Python |
| HTTP Server | references/pattern-http-server.md | Bash, Node (supertest), Python |
| File Parser | references/pattern-file-parser.md | Bash, Node, Python |
| Process Spawner | references/pattern-process-spawner.md | Bash, Node |
| Database | references/pattern-database.md | Node, Python, Bash (SQLite) |
| External API | references/pattern-external-api.md | Node (MSW), Python (responses) |
Analyze the target component code using the detection table above.
Read the appropriate pattern file from references/:
Read skills/component-patterns/references/pattern-{type}.md
Choose the template that matches the project language:
package.json present): Use Node/Jest templatepyproject.toml or setup.py present): Use Python/pytest templateReplace all {placeholder} values with component-specific information:
| Common Placeholders | Description |
|---------------------|-------------|
| {component_name} | Name of the component being tested |
| {component_path} | Import path to the module |
| {port} | Network port (for servers/processes) |
| {expected_value} | Expected output to verify |
| Component Type | Verification Strategy | Key Assertion | |----------------|----------------------|---------------| | CLI Command | Spawn, capture stdout/stderr | Exit code + output text | | HTTP Server | Start, HTTP request, verify response | Status code + response body | | File Parser | Create input, parse, check structure | Parsed fields + values | | Process Spawner | Spawn, check port/pid, verify behavior | Process alive + responds | | Database | Setup DB, execute ops, query state | Records exist/modified | | External API | MSW intercept, real fetch, check result | Response data matches |
All patterns follow the same principle: verify observable output, not mock calls.
| Anti-Pattern | Real Pattern |
|--------------|--------------|
| expect(spawn).toHaveBeenCalled() | expect(await checkPort(8080)).toBe(true) |
| expect(fs.writeFile).toHaveBeenCalled() | expect(fs.existsSync(path)).toBe(true) |
| expect(fetch).toHaveBeenCalledWith(url) | const resp = await fetch(url); expect(resp.status).toBe(200) |
| expect(db.save).toHaveBeenCalled() | const found = await db.find(id); expect(found).toBeDefined() |
Write diagnostic output to logs/diagnostics/component-patterns-{YYYYMMDD-HHMMSS}.yaml:
skill: component-patterns
timestamp: {ISO-8601}
diagnostics:
component_type_detected: cli|http|file-parser|process|database|api
pattern_applied: "CLI Command Verification"
template_language: bash|node|python
files_analyzed: 1
completion_status: success
testing
Prompt template for test classification stage in Test Audit pipeline
testing
--- name: test-audit description: Audit test suites for T1-T4 violations using AST analysis, mock detection, and multi-stage synthesis. Invoke when user asks to audit tests, check test quality, find mock violations, review test effectiveness, or inspect test suites for over-mocking. Triggers automatic rewrites when quality gates fail. user-invocable: true argument-hint: [path] [--threshold=N] skills: - test-classification - mock-detection - assertion-patterns - component-pattern
development
Template for structured sub-agent invocation using 4-part prompting (GOAL/CONSTRAINTS/CONTEXT/OUTPUT) and F# pipeline notation. Use when orchestrating sub-agents or designing multi-agent workflows.
development
Template for structured sub-agent output including YAML log format, task completion reports (WHY/WHAT/TRADE-OFFS/RISKS), and summary constraints. Use when defining how sub-agents should report results.