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-foundation-thinkinggit 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-foundation-thinking)<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-foundation-thinking"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-foundation-thinking/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-foundation-thinking"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-foundation-thinking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.03387 |
| Opus 5 | $0.00036 | $0.01693 |
| Sonnet 5 | $0.00014 | $0.00677 |
| Haiku 4.5 | $0.00007 | $0.00339 |
Grade A, and why
moai-foundation-thinking 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 10d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MoAI Foundation Thinking
Structured thinking toolkit for creative problem-solving and rigorous analysis. Integrates three complementary frameworks that cover the full spectrum from idea generation to critical evaluation.
Core Philosophy: Generate broadly, evaluate rigorously, question deeply. Creativity and criticism are complementary forces.
Quick Reference
What is the Thinking Toolkit?
Three integrated frameworks for structured thinking:
- Critical Evaluation: Rigorous 7-step analysis to assess proposals and detect flaws
- Diverge-Converge: Systematic brainstorming from 20-50 raw ideas to 3-5 validated solutions
- Deep Questioning: 6-layer progressive inquiry to uncover hidden requirements and risks
When to Use Each Framework:
- Evaluating a proposal or recommendation: Critical Evaluation
- Generating solutions for an open-ended problem: Diverge-Converge
- Exploring an unfamiliar domain or unclear requirement: Deep Questioning
- Complex decisions: Combine all three (Question first, Generate second, Evaluate third)
Quick Access:
- Rigorous proposal assessment: Critical Evaluation Module
- Creative solution generation: Diverge-Converge Module
- Progressive inquiry: Deep Questioning Module
Implementation Guide
Framework 1: Critical Evaluation
Purpose: Systematically assess proposals, claims, and recommendations to detect flaws before commitment.
Seven-Step Evaluation Process:
Step 1 - Restate: Reformulate the claim or proposal in your own words. Ensures genuine understanding before critique.
Step 2 - Assess Evidence: Examine supporting data. Is the evidence empirical, anecdotal, or assumed? What is the sample size and recency? Are there contradicting data points?
Step 3 - Detect Fallacies: Check for common reasoning errors. Appeal to authority without substance. False dichotomy (only two options presented). Hasty generalization from insufficient examples. Straw man misrepresentation of alternatives.
What ships with it
10 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/assumption-matrix.md 2.2 KB
- modules/cognitive-bias.md 6.3 KB
- modules/critical-evaluation.md 4.5 KB
- modules/deep-questioning.md 6.9 KB
- modules/diverge-converge.md 5.7 KB
- modules/first-principles.md 3.8 KB
- modules/trade-off-analysis.md 3.8 KB
- references/philosopher-examples.md 7.2 KB
- references/philosopher-reference.md 3.6 KB
- references/reference.md 1.8 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.
- 10d ago First seen · 311 lines · 72 tokens per session scan A c11cee93d9cb
moai-foundation-thinking is a skill published in the GitHub repository modu-ai/moai-adk (1,204 stars, last pushed yesterday), licensed Apache-2.0. It adds 72 tokens to every session and 3,387 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
Other skills, from other repositories
code-reviewer
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
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.
api-documenter
Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.
readme-updater
Keep README files current with project changes. Use when project structure changes, features added, or setup instructions modified. Suggests README updates based on code changes. Triggers on significant project changes, new features, dependency changes.
security-auditor
Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities, and insecure patterns. Use when reviewing code, before deployments, or on file changes. Scans for SQL injection, XSS, secrets exposure, auth issues. Triggers on file changes, security mentions, deployment prep.
version-check
Recommend which Claude Code version to run, or whether to update. Use when asked which Claude Code version is best/safe, whether to update now, whether a recent release is buggy, or what changed since the installed version.