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Test-Driven Development (TDD)

Overview

This skill implements Canon TDD with AI-specific guardrails:

1. Build or update a scenario list.
2. Execute exactly one scenario as a runnable test.
3. Prove RED.
4. Implement minimum change for GREEN.
5. Optionally refactor.
6. Repeat until scenario list is empty.

When to Use

Use for:

• New features
• Bug fixes
• Behavior changes
• Repository-scale patching driven by tests
• AI-assisted code generation where tests are executable specifications

Ask human approval before bypassing only for:

• Throwaway prototypes
• Purely declarative config edits with no execution path
• One-off migration scripts that will not be maintained

The Iron Law

NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST

If code was written first, discard and restart from RED.

Canon Loop

Step 0: Create/refresh scenario backlog

Before building the backlog, query memory for past failure signatures and reusable test templates:

Skill({ skill: 'memory-search' }); // query: "<feature-name> test failure signatures"

Read .claude/context/memory/learnings.md for recurring anti-patterns relevant to this task.

Then:

• Keep a short ordered list of test scenarios for this task.
• Prioritize by design signal and risk, not by implementation convenience.
• Add discovered scenarios during execution.
• Reuse templates from memory — do not repeat failure patterns already documented.

Step 1: Pick exactly one scenario and write one runnable test

• One behavior per cycle.
• Use clear behavior names.
• Favor real collaborators; mock only external boundaries.

Step 2: Prove RED

• Run the narrowest test command.
• Failure must be due to missing behavior, not syntax or setup errors.
• Record red evidence (test file and failing assertion message).

Step 3: Implement minimum GREEN patch

• Implement only what current red test requires.
• No speculative APIs or unrelated cleanup.
• Keep patch bounded to current scenario.

Step 4: Prove GREEN

• Re-run narrow test command.
• Run impacted suite (or package-level test set).
• Confirm no regressions.

Flakiness Gate (mandatory for async, hook, or nondeterministic tests):

For tests that involve async I/O, stop hooks, timers, or file system operations, a single pass is insufficient. Require 3 consecutive passes before declaring GREEN:

# Run 3 times — all 3 must pass
node --test tests/hooks/routing-guard.test.cjs && \
node --test tests/hooks/routing-guard.test.cjs && \
node --test tests/hooks/routing-guard.test.cjs

A test that passes once and fails on the second run is RED, not GREEN. Do not advance to Step 5 until 3 consecutive passes are confirmed.

Mutation Testing Gate (security-critical code only):

For security hooks, routing validators, auth logic, and any code path that controls access or trust decisions, run Stryker mutation testing after achieving GREEN to verify that tests genuinely catch faults and are not vacuously passing.

# Run Stryker mutation testing (threshold: 85%)
npx stryker run
# Require mutationScore >= 85 in stryker.config.json

For fast-check-based property tests on security hooks, the fail-closed property is the mutation-equivalent gate:

// fast-check fail-closed property — must hold for any input
fc.assert(
  fc.property(fc.anything(), input => {
    const result = securityHook(input);
    // Hook must NEVER return allow=true for malformed/unexpected input
    expect(result.allow).not.toBe(true);
  })
);

Skip this gate for non-security application code (Step 4 → Step 5 directly).

Step 5: Optional refactor

• Refactor only with green tests.
• Re-run the same test set after refactor.

Step 5.5: Property-Based Testing (recommended for utility functions and security hooks)

After refactor (or after Step 4 for security-critical code), consider supplementing example-based tests with property-based tests. PBT achieves 23.1–37.3% pass@1 improvement over example-based TDD alone for LLM code generation (arXiv:2506.18315) by breaking the self-deception cycle.

When to invoke:

• Utility functions (encode/decode, parsers, serializers, calculators)
• Security hooks (input validators, sanitizers, access control logic)
• Any function where invariants, round-trip properties, or mathematical properties can be stated

Invocation:

Skill({ skill: 'property-based-testing' });

Key property patterns to identify:

PBT is a supplement to Canon TDD, not a replacement. Canon RED/GREEN/REFACTOR completes first; PBT runs after GREEN is confirmed.

Step 6: Repeat until backlog empty

AI-Assisted Guardrails

• Use tests as executable prompt context; keep prompts short and test-focused.
• Prefer deterministic tests (stable fixtures, no nondeterministic ordering).
• Use bounded repair loops: max 3 repair attempts per scenario before redesign.
• Run anti-test-hacking checks:
  • Verify changed assertions still express original requirement.
  • Add at least one negative test for bug-fix tasks.
• Ensure code does not branch on test-only artifacts.

Memory Acceleration Layer

Use lightweight memory only to reduce repeated setup and triage:

• preferred repo-local test/lint/format commands
• recurring failure signatures and short fix summaries
• recurring anti-pattern reminders
• reusable scenario templates

Reference: references/tdd-memory-profile.md

Hard rules:

• memory never bypasses RED proof
• memory never changes Canon sequence
• keep profile bounded and low-noise

Test-Driven Prompting (TDP) — 2026 Standard Pattern

TDP is the dominant 2026 pattern for multi-agent TDD: inject the verbatim failing test output into the developer agent spawn prompt. This eliminates interpretation errors — the developer sees exactly what the test runner sees.

Pattern

Instead of describing the failure in prose, capture stdout/stderr and inject it directly:

// Step 1: Run test and capture raw output
const { execSync } = require('child_process');
let testOutput = '';
try {
  execSync('node --test tests/hooks/routing-guard.test.cjs', { encoding: 'utf-8' });
} catch (e) {
  testOutput = e.stdout + e.stderr; // Verbatim failure output
}

// Step 2: Inject verbatim into developer spawn prompt (no paraphrasing)
Task({
  task_id: 'task-impl',
  subagent_type: 'developer',
  prompt: `## FAILING TEST (verbatim — do NOT modify the test file)\n\`\`\`\n${testOutput}\n\`\`\`\nImplement ONLY what is needed to make this pass.`,
});

Why TDP Works

• Eliminates paraphrased failure descriptions (telephone game effect)
• Developer has the full assertion context: line number, actual vs expected values
• Forces minimal implementation — developer can only implement what the test demands
• Prevents specification drift between QA agent's test intent and developer's interpretation

TDP + Multi-Agent TDD Decomposition

Source: Simon Willison (2026) — "Red/Green TDD for agents: failing test output IS the specification"; TDFlow arXiv:2510.23761.

Autonomous TDD with ralph-loop (Session-Persistent Iteration)

For repository-scale TDD where sessions may be interrupted, wire ralph-loop (Mode 2 — router-managed) to maintain the TDD scenario backlog across interruptions:

TDD State Schema

Maintain a TDD-specific state file at .claude/context/runtime/tdd-state.json:

{
  "scenarios": [
    {
      "id": "sc-001",
      "description": "routing-guard blocks Write on creator paths",
      "status": "pending"
    },
    { "id": "sc-002", "description": "spawn-token-guard warns at 80K tokens", "status": "green" }
  ],
  "completedScenarios": [
    {
      "id": "sc-002",
      "evidenceCommand": "node --test tests/hooks/spawn-token-guard.test.cjs",
      "passedAt": "2026-03-12T10:00:00Z"
    }
  ],
  "currentScenario": "sc-001",
  "evidenceLog": [
    {
      "scenarioId": "sc-001",
      "phase": "red",
      "output": "AssertionError: expected exit code 2, got 0",
      "timestamp": "..."
    }
  ]
}

Resume Pattern

At the start of each iteration, read the TDD state file:

// Step 0 — before building/refreshing backlog
const state = JSON.parse(
  fs.readFileSync('.claude/context/runtime/tdd-state.json', 'utf-8') || '{}'
);
const completedIds = (state.completedScenarios || []).map(s => s.id);
const remaining = (state.scenarios || []).filter(s => !completedIds.includes(s.id));
// Pick next scenario from remaining — never re-run completed ones

Integration with ralph-loop Mode 2

1. Router spawns qa agent with { task_id, subagent_type: 'qa', prompt: TDP_PROMPT + verbatim state }
2. qa writes test → runs → captures output → updates tdd-state.json (phase: red)
3. Router spawns developer with TDP prompt (verbatim test output injected)
4. developer implements → updates tdd-state.json (phase: green)
5. Router checks remaining.length === 0 → emit RALPH_AUDIT_COMPLETE_NO_FINDINGS
6. If remaining > 0 → loop back to step 1 with next scenario

Anti-pattern: Never re-run scenarios already marked green in state — this wastes iterations and may corrupt evidence logs.

Repository-Scale and Class-Level Guidance

• For repository-scale work, decompose by failing test cluster and assign one cluster per loop.
• For class-level synthesis, derive a method dependency order and implement one method at a time with method-level public tests.
• Keep long-context pressure low by limiting each loop to one scenario and one patch objective.

Verification Checklist

• Scenario backlog exists and was updated during work
• Every production change maps to at least one failing-then-passing test
• RED evidence captured (command + failure summary)
• GREEN evidence captured (command + pass summary)
• No unresolved failing tests in touched scope
• Lint/format/test commands completed or explicitly reported as blocked
• No detected test-hacking pattern

Pre-Completion Commands (Project-Scoped)

Use the project's actual commands. Typical sequence:

# 1) targeted test
pnpm test <target>
# 2) impacted suite
pnpm test
# 3) lint
pnpm lint
# 4) format check
pnpm format:check

If the repo uses different scripts, replace these with local equivalents and report exactly what ran.

Rationalization Countermeasures

• "I will add tests later" -> stop and write current red test.
• "This is too small to test" -> write one minimal behavior test.
• "I already manually tested" -> manual runs do not replace executable regression tests.
• "I spent too long to delete pre-test code" -> sunk cost; restart from RED.

Related Files

• references/research-requirements.md
• references/tdd-memory-profile.md
• testing-anti-patterns.md
• rules/tdd.md
• templates/implementation-template.md

Research Basis

This skill is aligned with:

• Martin Fowler TDD (Dec 11, 2023)
• Kent Beck Canon TDD (Dec 11, 2023)
• Rafique & Misic meta-analysis, IEEE TSE DOI:10.1109/TSE.2012.28
• LLM4TDD (arXiv:2312.04687)
• Test-Driven Development for Code Generation (arXiv:2402.13521)
• Tests as Prompt (arXiv:2505.09027)
• SWE-Flow (arXiv:2506.09003)
• TDFlow (arXiv:2510.23761)
• Scaling TDD from Functions to Classes (arXiv:2602.03557)

Memory Protocol

Before starting: Read .claude/context/memory/learnings.md

After completing:

• New pattern -> .claude/context/memory/learnings.md
• Issue found -> .claude/context/memory/issues.md
• Decision made -> .claude/context/memory/decisions.md

Assume interruption: if it is not in memory, it did not happen.

Agent-Studio TDD Extensions (2026)

Hook Testing Pattern

Hooks use stdin/stdout JSON protocol:

const proc = require('child_process').spawn('node', ['.claude/hooks/routing/routing-guard.cjs'], {
  shell: false,
});
proc.stdin.write(JSON.stringify({ tool_name: 'Write', tool_input: {} }));
proc.stdin.end();
// Exit 0=allow, 2=block

Memory TDD

Mock MemoryRecord. Test confidence gate (threshold 0.7). Use atomic writes.

Property-Based Testing

Use fast-check (and @fast-check/vitest for vitest integration) for any function with invariants — not just routing. fast-check 3.x (2025) adds improved unicode, date, and bigint arbitraries.

Routing invariant (existing):

import fc from 'fast-check';
fc.assert(
  fc.property(fc.string(), intent => {
    return typeof routeIntent(intent) === 'string';
  })
);

Memory serialization roundtrip (new):

// Property: serialize(deserialize(x)) === x for all JSON-serializable values
fc.assert(
  fc.property(fc.jsonValue(), value => {
    const serialized = serializeMemoryRecord(value);
    const deserialized = deserializeMemoryRecord(serialized);
    return JSON.stringify(deserialized) === JSON.stringify(value);
  })
);

Hook validation invariant (new):

// Property: for any tool input, isValidInput(x) === !isBlocked(x)
// (validation and blocking must be inverses)
fc.assert(
  fc.property(fc.record({ tool_name: fc.string(), tool_input: fc.object() }), input => {
    const valid = isValidInput(input);
    const blocked = wouldBlock(input);
    return valid !== blocked || (!valid && blocked); // blocked implies invalid
  })
);

Path normalization idempotency (new):

// Property: normalize(normalize(path)) === normalize(path) (idempotent)
fc.assert(
  fc.property(fc.string(), rawPath => {
    const once = normalizePath(rawPath);
    const twice = normalizePath(once);
    return once === twice;
  })
);

Schema validation stability (new):

// Property: validate(schema, x) never throws uncaught exception for any input
fc.assert(
  fc.property(fc.anything(), input => {
    try {
      validateSchema(schema, input);
      return true;
    } catch (e) {
      return e instanceof ValidationError;
    } // Only ValidationError allowed
  })
);

Contract Testing

Validate TaskUpdate metadata schemas (processedReflectionIds: string[]).

Multi-Agent TDD Decomposition (2026 Standard)

Based on TDFlow (arXiv:2510.23761, 94.3% SWE-Bench Verified), monolithic TDD agents score 60–70%. Split into specialized sub-agents:

Pattern:

1. QA agent writes test → commits test file alone (no implementation)
2. Developer agent implements → runs tests → commits implementation
3. Reflection agent reviews diff: if test assertions changed → FAIL (test-hacking)

Test-hacking detection: reflection-agent checks git diff HEAD~1 HEAD -- '*.test.*' — any assertion changes after implementation commit = REJECT.

When to use: repository-scale TDD, complex features with multiple behaviors, any task where a single agent might rationalize test changes.

TDAID Phase Mapping (Test-Driven AI-Assisted Development, 2025-2026)

TDAID extends classic TDD with explicit Planning and Validation gates:

Key TDAID anti-patterns to detect in Validate phase:

• Deleting test assertions to make tests pass
• Hardcoding expected values
• Mocking away the behavior being tested
• Making implementation superficially compliant without satisfying the specification intent

Research basis: TDAID (awesome-testing.com, 2025), TDAD agent-to-agent variant (arXiv:2603.08806, 2026), TDFlow (arXiv:2510.23761, 2025)

LSP Pre-RED Type Verification

Before writing a failing test, verify the API contract exists to prevent "fails due to wrong API" rather than "fails due to missing behavior":

# Step 1: Find the target function's file + line
pnpm search:code "functionName"

# Step 2: Verify signature with LSP hover
lsp_hover({ filePath: "/abs/path/to/file.ts", line: 42, character: 10 })
# Returns: function signature, parameter types, return type

# Step 3: Write test using VERIFIED signature
# Now RED is guaranteed to fail due to missing behavior, not API mismatch

Rule: If lsp_hover returns empty (CJS file or LSP not active) → fall back to ripgrep rg -n "functionName" --type ts to read the actual signature.

When NOT needed: trivially new functions that don't exist yet (LSP has nothing to return).

Contract Testing (Hook Boundaries — Expanded)

Hook contracts define the stdin/stdout JSON protocol. Test at the boundary:

// Hook contract test pattern
const proc = spawn('node', ['.claude/hooks/routing/routing-guard.cjs'], { shell: false });
const input = JSON.stringify({
  tool_name: 'Edit',
  tool_input: { file_path: '.claude/agents/core/developer.md' },
});
proc.stdin.write(input);
proc.stdin.end();

// Assert: exit code 2 (block) for protected paths
// Assert: stdout JSON contains { allow: false, message: /Gate 4/ }

TaskUpdate metadata contract:

// Validate processedReflectionIds schema
const schema = {
  type: 'object',
  required: ['processedReflectionIds'],
  properties: { processedReflectionIds: { type: 'array', items: { type: 'string' } } },
  additionalProperties: false,
};

Agent-Studio hook contracts to test:

• routing-guard.cjs: blocks Task without task_id (exit 2)
• unified-creator-guard.cjs: blocks Write to .claude/skills/**/SKILL.md (exit 2)
• spawn-token-guard.cjs: warns at 80K tokens (exit 0 + message)

Test Runner Selection (node --test vs Vitest 4)

Agent Studio uses node --test (built-in Node.js test runner) as the default for all .cjs CommonJS files (hooks, lib, scripts). Vitest 4 is the recommended runner for ESM/TypeScript files.

Whynode --test for .cjs: Vitest requires Vite configuration and ESM-compatible modules. Agent Studio hooks use require() and CommonJS — node --test works without transpilation.

Why Vitest 4 for.ts/ESM: Boot time drops from ~8s (Jest) to ~1.2s (Vitest). First-class TypeScript + ESM support, Browser Mode (stable v4), and jest-compatible describe/it/expect API (migration = config change only).

Anti-pattern: Do NOT use Jest for new files. Vitest is the 2025-2026 standard for ESM/TypeScript.

# Current Agent Studio pattern (CJS hooks and lib)
node --test tests/lib/routing/routing-table.test.cjs

# Future ESM/TypeScript pattern
pnpm vitest run tests/lib/routing/routing-table.test.ts

AI Output Evaluation Testing (Non-Deterministic Agents)

LLM/agent outputs are non-deterministic — binary pass/fail assertions are insufficient. Use score-based evaluation and tool-call sequence validation instead.

Score-Based Assertion Pattern

// Agent output evaluation — score dimensions 0.0-1.0
function evaluateAgentOutput(output, expectations) {
  const scores = {
    relevance: scoreRelevance(output, expectations.topic), // 0.0-1.0
    safety: scoreSafety(output), // 0.0-1.0
    faithfulness: scoreFaithfulness(output, expectations.facts), // 0.0-1.0
    format: scoreFormat(output, expectations.schema), // 0.0-1.0
  };
  const overall = Object.values(scores).reduce((a, b) => a + b) / Object.keys(scores).length;
  return { scores, overall, pass: overall >= 0.75 };
}

// Test: agent output meets quality threshold
test('researcher agent output is relevant and safe', () => {
  const result = evaluateAgentOutput(agentOutput, { topic: 'TDD patterns', facts: knownFacts });
  expect(result.scores.safety).toBeGreaterThanOrEqual(0.9); // Hard floor for safety
  expect(result.overall).toBeGreaterThanOrEqual(0.75); // 75% overall threshold
});

Tool-Call Sequence Validation

For agent tests, validate the sequence and count of tool calls, not just the final output:

// Spy on tool calls and assert ordering
const toolCallLog = [];
const mockTaskUpdate = jest.fn(args => {
  toolCallLog.push({ tool: 'TaskUpdate', args });
});
const mockBash = jest.fn(args => {
  toolCallLog.push({ tool: 'Bash', args });
});

// Run agent under test with mocked tools
await runAgent({ TaskUpdate: mockTaskUpdate, Bash: mockBash });

// Assert: TaskUpdate(in_progress) called BEFORE TaskUpdate(completed)
const inProgressIdx = toolCallLog.findIndex(
  c => c.tool === 'TaskUpdate' && c.args.status === 'in_progress'
);
const completedIdx = toolCallLog.findIndex(
  c => c.tool === 'TaskUpdate' && c.args.status === 'completed'
);
expect(inProgressIdx).toBeLessThan(completedIdx); // Ordering enforced
expect(inProgressIdx).toBeGreaterThanOrEqual(0); // Must have been called
expect(completedIdx).toBeGreaterThanOrEqual(0); // Must have been called

Rule: Never test the text content of LLM-generated prose. Test structure, schema validity, tool-call sequences, and score thresholds.

Reference: Simon Willison (2025) — "Red/Green TDD for agents: write assertions on tool-call sequences and structured outputs."

MSW v2 HTTP Mocking (API Boundary Testing)

Use MSW (Mock Service Worker) v2 to test skills and agents that make external HTTP calls. MSW intercepts at the network level — no monkey-patching of fetch, no code changes in production.

pnpm add -D msw@2

Setup Pattern (Node.js / Vitest)

import { setupServer } from 'msw/node';
import { http, HttpResponse } from 'msw';

// Define handlers — these describe the expected API contract
const handlers = [
  http.get('https://api.example.com/search', ({ request }) => {
    const url = new URL(request.url);
    return HttpResponse.json({
      results: [{ id: 1, title: `Result for: ${url.searchParams.get('q')}` }],
    });
  }),
];

const server = setupServer(...handlers);
beforeAll(() => server.listen({ onUnhandledRequest: 'error' }));
afterEach(() => server.resetHandlers());
afterAll(() => server.close());

// Test: researcher skill makes HTTP call and processes response
test('researcher skill fetches and parses search results', async () => {
  const results = await researcherSkill.search('TDD patterns 2026');
  expect(results).toHaveLength(1);
  expect(results[0].title).toContain('TDD patterns');
});

Override Per-Test for Error Cases

test('researcher skill handles 503 gracefully', async () => {
  server.use(
    http.get('https://api.example.com/search', () => HttpResponse.json({}, { status: 503 }))
  );
  const results = await researcherSkill.search('TDD patterns');
  expect(results).toEqual([]); // Graceful empty fallback
});

Key benefits over manual mocking:

• Tests exercise real HTTP client code paths (not mocked abstractions)
• onUnhandledRequest: 'error' catches unintentional external calls during tests
• Handlers define request/response contracts — doubles as documentation

Agent-Studio targets for MSW boundary tests:

• researcher skill → WebSearch/WebFetch HTTP calls
• github-ops skill → GitHub API calls
• Any agent using mcp__Exa__web_search_exa or WebFetch

Mutation Testing (Stryker JS)

Mutation testing validates test QUALITY, not just coverage. Run after achieving 100% line coverage:

Stryker + Vitest (2026 Standard — ESM/TypeScript projects)

# Install (once per project) — use vitest-runner for ESM/TypeScript
pnpm add -D @stryker-mutator/core @stryker-mutator/vitest-runner vitest



// stryker.config.mjs — working configuration for Vitest projects
/** @type {import('@stryker-mutator/api/core').PartialStrykerOptions} */
export default {
  testRunner: 'vitest',
  vitest: {
    configFile: 'vitest.config.ts', // optional: path to your vitest config
    related: true, // default: run only tests related to mutated file
  },
  thresholds: { high: 80, low: 60, break: 50 },
  reporters: ['html', 'progress'],
};



# Run mutation tests (use incremental to speed up local loops)
pnpm stryker run --incremental

# Target threshold: >80% mutation score
# Score = (killed mutations / total mutations) × 100

Vitest runner limitations (StrykerJS 7.x):

• Browser Mode not supported — threads mode only
• Always uses perTest coverage analysis (ignores coverageAnalysis config)
• For .cjs files using node --test, use @stryker-mutator/jest-runner as fallback

Stryker + node:test (CommonJS/.cjs projects)

pnpm add -D @stryker-mutator/core @stryker-mutator/jest-runner

Interpret results:

• Killed — test suite caught the mutation ✓
• Survived — test suite MISSED this code path (add assertion)
• No coverage — no test exercises this line at all (add test)

When to run: after completing a TDD cycle for security-critical code (hooks, validators, routing logic). Not required for all code — prioritize by risk.

Agent-Studio priority targets for mutation testing:

• .claude/hooks/routing/routing-guard.cjs
• .claude/hooks/safety/unified-creator-guard.cjs
• .claude/lib/routing/routing-table.cjs

Validation Phase: TDAD Dependency Map (P0)

Before committing, agents MUST identify which test files cover the changed source files. Use compiler-assisted reference discovery or targeted grep:

# Find tests that import the changed file
grep -r "import.*changedFile\|require.*changedFile" tests/

# Or use LSP to find all references
lsp_findReferences({ filePath: "/path/to/changed/file.ts", line: 1, character: 1 })

Build a dependency map and run ONLY those tests first (70% faster regression detection per arXiv:2603.17973):

# 1. Run targeted tests (impacted tests only)
pnpm test tests/hooks/routing-guard.test.cjs

# 2. Verify no regressions in targeted scope
# 3. Only then run full suite
pnpm test

Rationale: Full test suites can exceed 5 minutes on large repos. Targeted testing catches regressions in 15-30 seconds, freeing context for next scenarios in a long TDD loop.

Validation Phase: Spec-Gaming Detection (P0)

In the Validate phase, verify the implementation hasn't gamed test assertions:

Checklist:

• Tests assert behavior, not implementation details (no testing private variables or class internals)
• No hardcoded expected values were copied from test to implementation
• Mutation score ≥80% indicates test quality is sufficient for detecting regressions
• Review: could the code pass tests while being fundamentally wrong?

Run mutation testing if available:

# Test suite strength validation — mutations should be caught
pnpm stryker run

# If mutation score < 80%, tests are too weak:
# - Add negative tests
# - Add boundary condition tests
# - Verify assertions are on behavior, not mocks

Spec-gaming examples to catch:

• ✗ Implementation hardcodes return 42 to pass test expecting 42 → mutation testing catches this
• ✗ Test mocks behavior instead of asserting it → mutation testing shows 0% mutation killed
• ✗ Test checks log message instead of behavior → flip the assertion, implementation still passes

Agent-Studio targets: After completing security-critical hook or routing changes, run mutation testing before marking task complete.

Weekly Installs

62

Repository

oimiragieo/agent-studio

GitHub Stars

19

First Seen

Jan 27, 2026

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