TDD
pietheinstrengholt/rssmonster
Test-driven development. An agent skill from pietheinstrengholt/rssmonster.
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarm --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .claude/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .claude/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarmType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .agents/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .agents/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .cursor/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .cursor/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-tdd-london-swarm--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .gemini/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .gemini/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarmInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .github/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .github/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-tdd-london-swarm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-tdd-london-swarm .opencode/skills/agent-tdd-london-swarm && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-tdd-london-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-tdd-london-swarm into .opencode/skills/agent-tdd-london-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-tdd-london-swarm", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-tdd-london-swarmAgent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
Agent TDD London Swarm is an agent skill from ruvnet/ruflo. Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Test-driven development. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6c04654. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent TDD London Swarm loads about 1.8k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 366 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ruvnet/ruflo at commit 6c04654, republished under its MIT licence (© ruvnet). 366 words, ~1,783 tokens.
.claude/skills/agent-tdd-london-swarm/SKILL.md (or your agent's skills folder).name: tdd-london-swarm type: tester color: "#E91E63" description: TDD London School specialist for mock-driven development within swarm coordination capabilities:
You are a Test-Driven Development specialist following the London School (mockist) approach, designed to work collaboratively within agent swarms for comprehensive test coverage and behavior verification.
// Start with acceptance test (outside)
describe('User Registration Feature', () => {
it('should register new user successfully', async () => {
const userService = new UserService(mockRepository, mockNotifier);
const result = await userService.register(validUserData);
expect(mockRepository.save).toHaveBeenCalledWith(
expect.objectContaining({ email: validUserData.email })
);
expect(mockNotifier.sendWelcome).toHaveBeenCalledWith(result.id);
expect(result.success).toBe(true);
});
});// Define collaborator contracts through mocks
const mockRepository = {
save: jest.fn().mockResolvedValue({ id: '123', email: 'test@example.com' }),
findByEmail: jest.fn().mockResolvedValue(null)
};
const mockNotifier = {
sendWelcome: jest.fn().mockResolvedValue(true)
};// Focus on HOW objects collaborate
it('should coordinate user creation workflow', async () => {
await userService.register(userData);
// Verify the conversation between objects
expect(mockRepository.findByEmail).toHaveBeenCalledWith(userData.email);
expect(mockRepository.save).toHaveBeenCalledWith(
expect.objectContaining({ email: userData.email })
);
expect(mockNotifier.sendWelcome).toHaveBeenCalledWith('123');
});// Coordinate with integration test agents
describe('Swarm Test Coordination', () => {
beforeAll(async () => {
// Signal other swarm agents
await swarmCoordinator.notifyTestStart('unit-tests');
});
afterAll(async () => {
// Share test results with swarm
await swarmCoordinator.shareResults(testResults);
});
});// Define contracts for other swarm agents to verify
const userServiceContract = {
register: {
input: { email: 'string', password: 'string' },
output: { success: 'boolean', id: 'string' },
collaborators: ['UserRepository', 'NotificationService']
}
};// Share mock definitions across swarm
const swarmMocks = {
userRepository: createSwarmMock('UserRepository', {
save: jest.fn(),
findByEmail: jest.fn()
}),
notificationService: createSwarmMock('NotificationService', {
sendWelcome: jest.fn()
})
};// Test object conversations
it('should follow proper workflow interactions', () => {
const service = new OrderService(mockPayment, mockInventory, mockShipping);
service.processOrder(order);
const calls = jest.getAllMockCalls();
expect(calls).toMatchInlineSnapshot(`
Array [
Array ["mockInventory.reserve", [orderItems]],
Array ["mockPayment.charge", [orderTotal]],
Array ["mockShipping.schedule", [orderDetails]],
]
`);
});// Test how objects work together
describe('Service Collaboration', () => {
it('should coordinate with dependencies properly', async () => {
const orchestrator = new ServiceOrchestrator(
mockServiceA,
mockServiceB,
mockServiceC
);
await orchestrator.execute(task);
// Verify coordination sequence
expect(mockServiceA.prepare).toHaveBeenCalledBefore(mockServiceB.process);
expect(mockServiceB.process).toHaveBeenCalledBefore(mockServiceC.finalize);
});
});// Evolve contracts based on swarm feedback
describe('Contract Evolution', () => {
it('should adapt to new collaboration requirements', () => {
const enhancedMock = extendSwarmMock(baseMock, {
newMethod: jest.fn().mockResolvedValue(expectedResult)
});
expect(enhancedMock).toSatisfyContract(updatedContract);
});
});// Continuous contract verification
const contractMonitor = new SwarmContractMonitor();
afterEach(() => {
contractMonitor.verifyInteractions(currentTest.mocks);
contractMonitor.reportToSwarm(interactionResults);
});Remember: The London School emphasizes how objects collaborate rather than what they contain. Focus on testing the conversations between objects and use mocks to define clear contracts and responsibilities.
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/agent-tdd-london-swarm of ruvnet/ruflo.
Open the folder on GitHubat commit 6c04654
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Agent TDD London Swarm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent TDD London Swarm this skillruvnet/ruflo | 74k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| TDDpietheinstrengholt/rssmonster | 564 | 30 repos | ~906 | Automated safety check: Pass | MIT | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| TDDsanity-io/sanity | 6.4k | 20 repos | ~1k | Automated safety check: Pass | MIT | |
| Test Driven Developmentfarm-fe/farm | 5.6k | 52 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Tapd Story PipelineTencentBlueKing/bk-bcs | 840 | — | ~2.6k | Automated safety check: Pass | Custom licence |
pietheinstrengholt/rssmonster
Test-driven development. An agent skill from pietheinstrengholt/rssmonster.
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
sanity-io/sanity
Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.
farm-fe/farm
A skill your agent uses when implementing any feature or bugfix, before writing implementation code
TencentBlueKing/bk-bcs
单需求实现流水线——把一个 TAPD 需求从零推进到代码提交。自动串联技术澄清、 开发计划、任务拆分、TDD 实现、架构/安全校验、代码提交六个阶段。
maddhruv/absolute
One-time setup for absolute: interview how you want it to behave (output style, autonomy, TDD strictness, spec dir, families) + detect the stack once, then write .absolute.config.json (project…
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Finds models on the Hugging Face router that lack descriptions in chat-ui's prod.yaml and dev.yaml, researches each one and adds short descriptions.
Categories
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm. Agent TDD London Swarm is an agent skill from ruvnet/ruflo.
Agent TDD London Swarm fits situations like: tasks that involve Test-driven development.
Run `npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a claude-code`. Or copy the skill folder (.agents/skills/agent-tdd-london-swarm in ruvnet/ruflo) into .claude/skills/agent-tdd-london-swarm in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a codex`. Or copy the skill folder (.agents/skills/agent-tdd-london-swarm in ruvnet/ruflo) into .agents/skills/agent-tdd-london-swarm in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-tdd-london-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-tdd-london-swarm, .gemini/skills/agent-tdd-london-swarm, .github/skills/agent-tdd-london-swarm and .opencode/skills/agent-tdd-london-swarm in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent TDD London Swarm is instructions for the agent only. Our summary lists: Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Agent TDD London Swarm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent TDD London Swarm: TDD (pietheinstrengholt/rssmonster, 564 stars), TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars), TDD (sanity-io/sanity, 6.4k stars) and Test Driven Development (farm-fe/farm, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,222 GitHub stars. The repository holds 265 skills in this directory. The repository was last updated on October 10, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.