MoAI-ADK is a Go-based harness that organizes and verifies Claude Code work across planning, implementation, synchronization, and review stages. Developers use it to structure agentic coding tasks, apply quality gates, and route work across language models, while the catalogue entries extend its workflow with skills, hooks, commands, MCP servers, instructions, and settings.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add modu-ai/moai-adk --skill moai-workflow-testinggit clone --depth 1 https://github.com/modu-ai/moai-adkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/modu-ai/moai-adk/moai-workflow-testing)<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-workflow-testing"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-workflow-testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-workflow-testing"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-workflow-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 194 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.02386 |
| Opus 5.5 | $0.00019 | $0.00954 |
| Sonnet 5.5 | $0.00009 | $0.00477 |
| Haiku 4.5 | $0.00005 | $0.00239 |
Grade A, and why
moai-workflow-testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Workflow Specialist
Quick Reference
Unified development workflow combining DDD (domain-driven development) testing, debugging guidance, performance optimization, automated code review, and CI/CD quality gates. Emphasizes behavior preservation during refactoring through characterization tests.
Core Capabilities:
- DDD Testing: Characterization tests (legacy) + specification tests (greenfield) + behavior snapshots
- AI-Powered Debugging: Error analysis, classification, solution candidates
- Performance Optimization: Profiling, bottleneck detection, optimization recommendations
- Automated Code Review: TRUST 5 framework validation
- PR Code Review: Multi-agent pattern (Haiku eligibility + 5 Sonnet parallel reviewers)
- Quality Assurance: CI/CD integration with quality gates
Workflow Progression: Debug → Refactor → Optimize → Review → Test → Profile
When to Use:
- Complete development lifecycle management
- Quality assurance and CI/CD integration
- Multi-language and performance-critical projects
- Technical debt reduction
- PR code review automation
Implementation Guide
Core Concepts
Five integrated components form the workflow:
- AI-Powered Debugging: Error classification (syntax/runtime/logic/integration/performance) and solution candidates ranked by likelihood
- Smart Refactoring: Technical debt analysis with complexity metrics and risk assessment
- Performance Optimization: CPU/memory/IO/network profiling with optimization strategies
- DDD Testing Management: Characterization tests (PRESERVE phase) for legacy + specification tests for greenfield + TRUST 5 validation
- Automated Code Review: TRUST 5 framework with actionable recommendations
TRUST 5 Framework
Quality assessment model with five dimensions:
- Testability: pure functions, injectable dependencies, modular design
- Readability: descriptive names, logical structure, documented complexity
- Understandability: clear business logic, appropriate abstractions, conceptual clarity
- Security: input validation, secret management, OWASP compliance (injection/XSS/CSRF)
- Transparency: comprehensive error handling, structured logs, traceable issues
What ships with it
43 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- modules/advanced-patterns.md 14 KB
- modules/ai-debugging.md 11 KB
- modules/automated-code-review.md 8.7 KB
- modules/automated-code-review/review-workflows.md 13 KB
- modules/automated-code-review/trust5-framework.md 8.6 KB
- modules/automated-code-review/trust5-framework/relevance-analysis.md 4.0 KB
- modules/automated-code-review/trust5-framework/safety-analysis.md 3.9 KB
- modules/automated-code-review/trust5-framework/scoring-algorithms.md 4.2 KB
- modules/automated-code-review/trust5-framework/timeliness-analysis.md 4.4 KB
- modules/automated-code-review/trust5-framework/truthfulness-analysis.md 3.1 KB
- modules/automated-code-review/trust5-framework/usability-analysis.md 3.6 KB
- modules/code-review/analysis-patterns.md 9.2 KB
- modules/code-review/core-classes.md 7.2 KB
- modules/code-review/tool-integration.md 8.8 KB
- modules/ddd/core-classes.md 8.8 KB
- modules/debugging/debugging-workflows.md 12 KB
- modules/debugging/error-analysis.md 10 KB
- modules/INDEX.md 9.4 KB
- modules/optimization.md 11 KB
- modules/performance-optimization.md 10 KB
- modules/performance-optimization/ai-optimization.md 7.3 KB
- modules/performance-optimization/bottleneck-detection.md 8.6 KB
- modules/performance-optimization/optimization-plan.md 6.1 KB
- modules/performance-optimization/profiler-core.md 5.0 KB
- modules/performance-optimization/real-time-monitoring.md 4.5 KB
- modules/performance/optimization-patterns.md 10 KB
- modules/performance/profiling-techniques.md 11 KB
- modules/quality-metrics.md 10 KB
- modules/refactoring/ai-workflows.md 12 KB
- modules/refactoring/patterns.md 15 KB
- modules/security-analysis.md 12 KB
- modules/smart-refactoring.md 8.8 KB
- modules/static-analysis.md 8.3 KB
- modules/trust5-validation.md 11 KB
- references/e2e-desktop-native-recipes.md 3.1 KB
- references/examples.md 18 KB
- references/integration-patterns.md 2.5 KB
- references/multi-language-support.md 4.7 KB
- references/playwright-best-practices.md 2.1 KB
- references/pr-review-multi-agent.md 2.7 KB
- references/reference.md 14 KB
- references/trust5-framework.md 2.8 KB
- references/workflow-processes.md 1.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 14d ago Changed 5ceccf029399
- 16d ago Changed · -1 lines 99cbed8423de
- 1mo ago First seen · 234 lines · 47 tokens per session scan A a48bb37b0645
moai-workflow-testing is a skill published in the GitHub repository modu-ai/moai-adk (1,236 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 2,386 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
behavior-contract
Bug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
debug
Run /debug to find and fix a bug's root cause: a test failing for an unclear reason, /check verify finding a failure, or behavior being wrong. Runs a reproduce, localize, hypothesize, test, fix, verify loop, makes the minimal fix, and hands a regression test to /test. No features, no extra refactors.
gha
Analyze GitHub Actions failures and identify root causes.
test-generator
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
team-fix
Use for the full bug-fix pipeline only on explicit request. Never infer from an ordinary bug fix. Runs the compressed pipeline.