Tdd WorkflowCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
ef7d4f0535e5OBSERVED · 2026-09-26What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: tdd-workflow
description: TDD London School workflow -- mock-first, outside-in test development
argument-hint: "<module-path>"
allowed-tools: Bash(npx * npm *) mcp__plugin_ruflo-core_ruflo__hooks_pre-task mcp__plugin_ruflo-core_ruflo__hooks_post-task Read Write Edit
---
Follow the TDD London School (mock-first) approach:
1. **Write the failing test first** -- define expected behavior with mocked dependencies
2. **Run the test** -- confirm it fails for the right reason
3. **Implement minimal code** -- make the test pass with the simplest solution
4. **Refactor** -- clean up while keeping tests green
5. **Repeat** -- add the next behavior
Before starting: `mcp__plugin_ruflo-core_ruflo__hooks_pre-task({ description: "TDD: FEATURE_NAME" })`
After completing: `mcp__plugin_ruflo-core_ruflo__hooks_post-task({ taskId: "tdd-FEATURE", success: true, storeResults: true })`
Principles:
- Mock external dependencies at boundaries
- Test behavior, not implementation
- One assertion per test when possible
- Descriptive names: `should [behavior] when [condition]`Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
ef7d4f0535e5full audit observations/trust-audit/skill/ruvnet__tdd-workflow.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-26 | ef7d4f0535e5 | CAUTION | B | 89 | first audit |
Questions
What does the Tdd Workflow skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Tdd Workflow safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Tdd Workflow access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ef7d4f0535e5), read on 2026-09-26. The repository is watched, and a new audit runs when it changes — this is the first audit.