Test fixture creation
Guidelines for creating unbiased test fixtures that integrate with project infrastructure. Use when creating fixtures for manual testing, setting up E2E test scenarios, or building code samples with deliberate issues for LLM review. Ensures fixtures work with hook automation and pass Phase 1 checks.From its SKILL.md
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SKILL.md
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Test Fixture Creation
Guidelines for creating test fixtures that work with Bulwark's hook-based automation and avoid bias that could compromise testing.
When to Use This Skill
Load this skill when:
- Creating fixtures for manual testing of skills or agents
- Setting up E2E test scenarios that require hook automation
- Building code samples with deliberate issues for LLM review
DO NOT use for:
- Unit test fixtures (those can be isolated in tests/fixtures/)
- Mock data for automated tests
- Documentation examples
Core Principles
1. No Bias in Fixtures
CRITICAL: Fixtures must not contain any indicators that they are test fixtures.
| Forbidden | Why | Alternative |
|---|---|---|
test-*.ts, *-fixture.ts | Filename reveals intent | user-service.ts, data-processor.ts |
// This is a test file | Comment reveals intent | No explanatory comments |
// Intentional bug here | Points to the issue | Let LLM discover it |
fixture/, test-data/ | Directory name reveals intent | scripts/components/, lib/ |
FIXME, TODO: test | Markers reveal intent | Remove all markers |
Why this matters: When Claude knows code is a test fixture, it may:
- Skip hook automation ("this is just a test")
- Ignore pipeline suggestions
- Produce different results than real code review
2. Project Infrastructure Integration
Fixtures must be placed within project infrastructure to enable hook automation.
Required for hooks to fire:
- Code must be in directories covered by
tsconfig.jsoninclude paths - Project must have working
just typecheckandjust lintrecipes - Fixtures must pass Phase 1 checks
Placement Strategy:
PROJECT_ROOT/
├── scripts/
│ ├── components/ ← Place fixtures here
│ │ ├── user-service.ts
│ │ ├── data-processor.ts
│ │ └── workflow-handler.ts
│ └── lib/ ← Supporting stubs
│ ├── database.ts
│ └── logger.ts
3. Fixtures Must Pass Phase 1
Fixtures should compile and lint successfully so that Phase 2 (LLM review) can run.
Phase 1 Requirements:
just typecheckpasses (no TypeScript errors)just lintpasses (no lint errors)- All imports resolve
Common Issues:
| Problem | Solution |
|---|---|
| Missing Node.js types | Avoid fs, events, Buffer - use pure TS |
| Import resolution | Create stub files in scripts/lib/ |
| Type errors | Use as unknown as T for intentional unsafe casts |
4. Deliberate Issues for Phase 2
Fixtures should contain issues that TypeScript allows but are bad practice:
Security Issues (user-service.ts):
- SQL injection via string interpolation
- Hardcoded API keys and secrets
- Path traversal vulnerabilities
- Insecure token generation
Type Safety Issues (data-processor.ts):
- Excessive
anyin properties and parameters - Unsafe type assertions (
as unknown as T,as any) - Missing return types
Linting Issues (workflow-handler.ts):
- Single-letter function names (
p,x,z) - Generic variable names (
s,d,c,i,r) - Deep nesting (8+ levels)
- High cyclomatic complexity
Coding Standards Issues (config-manager.ts):
- Multiple responsibilities in one file
- Global mutable state
- Implicit side effects (auto-initialization)
- Mixed concerns in functions
Fixture Creation Workflow
Step 1: Plan Fixture Structure
1. Identify skill/agent sections to test
2. Map each section to a fixture file
3. Plan deliberate issues for each file
4. Identify supporting stubs needed
Step 2: Create Supporting Infrastructure
// scripts/lib/database.ts - Stub for database imports
export interface QueryResult {
rows: Record<string, unknown>[];
}
export const db = {
async query(sql: string): Promise<QueryResult> {
return { rows: [] };
}
};
Step 3: Create Fixture Files
// scripts/components/user-service.ts
// NO comments explaining this is a test!
// File looks like production code
import { db } from '../lib/database';
const API_KEY = 'sk_live_...'; // Hardcoded secret
export async function getUserByEmail(email: string) {
const query = `SELECT * FROM users WHERE email = '${email}'`; // SQL injection
// ... rest of realistic code
}
Step 4: Verify Phase 1 Passes
# Must pass before creating test cases
just typecheck
just lint
Step 5: Create Test Protocol
Use conversational, non-developer prompts:
**Prompt** (conversational):
I just joined the team and was asked to review the user authentication module
before we go live. Can you take a look at scripts/components/user-service.ts
and let me know if there's anything concerning?
NOT:
**Prompt** (too technical):
Run code-review on the SQL injection vulnerability in getUserByEmail().
Step 6: Add Cleanup Steps
## Cleanup Steps
### CLEANUP-P4-001: Remove Component Fixtures
rm -rf scripts/components/
rm -rf scripts/lib/database.ts
rm -rf scripts/lib/logger.ts
Prompt Writing Guidelines
Realistic User Language
Users don't speak in technical jargon. Prompts should reflect real conversations.
| Bad (Technical) | Good (Realistic) |
|---|---|
| "Review the SQL injection in line 14" | "The login seems slow and I'm worried about security" |
| "Check for any usage" | "Sometimes we get weird undefined errors" |
| "Analyze cyclomatic complexity" | "I can barely understand what this code does" |
| "Validate SRP compliance" | "This file seems to do a lot of different things" |
Symptom-Based Prompts
Describe symptoms, not root causes:
"After I select a date range on the app, the app hangs. Could you please
debug, fix and validate the issue after loading the appropriate skills
and pipeline agents?"
NOT:
"timerangecalc() is giving an out of bound error"
Cleanup Protocol
MANDATORY: All fixtures must be cleaned up after testing.
Cleanup Checklist
- Remove fixture files (
scripts/components/*.ts) - Remove supporting stubs (
scripts/lib/database.ts, etc.) - Remove empty directories
- Clear diagnostic logs (optional)
- Verify
just typecheckpasses after cleanup - Check
git statusfor orphaned artifacts
Cleanup Commands
# Remove fixtures
rm -rf scripts/components/
rm -f scripts/lib/database.ts scripts/lib/logger.ts
# Verify clean state
just typecheck
git status
Diagnostic Output
After creating fixtures, document the mapping:
diagnostic:
skill: test-fixture-creation
timestamp: 2026-01-31T12:00:00Z
fixtures_created:
- file: scripts/components/user-service.ts
section: Security
issues: [sql_injection, hardcoded_secrets, path_traversal]
- file: scripts/components/data-processor.ts
section: Type Safety
issues: [excessive_any, unsafe_assertions]
- file: scripts/components/workflow-handler.ts
section: Linting
issues: [poor_naming, deep_nesting, high_complexity]
- file: scripts/components/config-manager.ts
section: Coding Standards
issues: [multiple_responsibilities, global_state, side_effects]
supporting_stubs:
- scripts/lib/database.ts
- scripts/lib/logger.ts
phase1_validation:
typecheck: passed
lint: passed
Learnings Log
Session 32 (2026-01-31)
- Fixtures in project infrastructure: Test fixtures need to be in project directories (not tests/fixtures/) so hooks fire correctly
- No @types/node: Pure TypeScript fixtures avoid dependency on @types/node
- Stub imports: Create minimal stubs for imports to make fixtures compile
- Realistic prompts: Non-developer language produces more realistic test results
- Cleanup discipline: Always add cleanup steps to test protocols
- ESLint config required: Without
.eslintrc.json,just lintskips TypeScript - Phase 1 incomplete - Package.json for deps: Need
package.jsonwith typescript, eslint, @typescript-eslint/* for real Phase 1 checks - Warnings vs Errors: ESLint warnings (intentional
any, unused vars) don't block Phase 1; only errors block - Separate fixture locations: Use
scripts/components/for direct invocation,scripts/services/for pipeline integration - Pipeline vs Direct tests: Direct invocation uses
--sectionflag (deterministic); pipeline tests LLM judgment (stochastic)
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.