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-philosophergit 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-philosopher)<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-foundation-philosopher"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-foundation-philosopher/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-philosopher"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-foundation-philosopher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, 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 Memory Poisoning · line 258 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- high Prompt Injection · line 334 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.
- high Prompt Injection · line 347 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.
- high Prompt Injection · line 358 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 | $0.00039 | $0.02991 |
| Opus 5 | $0.00019 | $0.01496 |
| Sonnet 5 | $0.00008 | $0.00598 |
| Haiku 4.5 | $0.00004 | $0.00299 |
Grade A, and why
moai-foundation-philosopher 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 8d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MoAI Foundation Philosopher
Strategic thinking framework that promotes deeper analysis over quick calculations. Integrates three proven methodologies for systematic problem-solving.
Core Philosophy: Think deeply before acting. Question assumptions. Consider alternatives. Make trade-offs explicit. Check for cognitive biases.
Quick Reference (30 seconds)
What is the Philosopher Framework?
A structured approach to complex decisions combining:
- First Principles Analysis: Break problems to fundamental truths
- Stanford Design Thinking: Divergent-convergent solution generation
- MIT Systems Engineering: Systematic risk assessment and validation
Five-Phase Thinking Process:
- Assumption Audit: Surface and question what we take for granted
- First Principles Decomposition: Break down to root causes
- Alternative Generation: Create multiple solution options
- Trade-off Analysis: Compare options systematically
- Cognitive Bias Check: Verify thinking quality
When to Activate:
- Architecture decisions affecting 5+ files
- Technology selection (library, framework, database)
- Performance vs maintainability trade-offs
- Refactoring scope decisions
- Breaking changes consideration
- Any decision with significant long-term impact
Quick Access:
- Assumption questioning techniques: Assumption Matrix Module
- Root cause analysis: First Principles Module
- Option comparison: Trade-off Analysis Module
- Bias prevention: Cognitive Bias Module
Implementation Guide (5 minutes)
Phase 1: Assumption Audit
Purpose: Surface hidden assumptions before they become blind spots.
Five Critical Questions:
- What are we assuming to be true without evidence?
- What if this assumption turns out to be wrong?
- Is this a hard constraint or merely a preference?
- What evidence supports this assumption?
- Who else should validate this assumption?
Assumption Categories:
- Technical Assumptions: Technology capabilities, performance characteristics, compatibility
- Business Assumptions: User behavior, market conditions, budget availability
- Team Assumptions: Skill levels, availability, domain knowledge
- Timeline Assumptions: Delivery expectations, dependency schedules
What ships with it
7 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.
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.
- 8d ago First seen · 369 lines · 39 tokens per session scan A 1e5747107492
moai-foundation-philosopher is a skill published in the GitHub repository modu-ai/moai-adk (1,207 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 2,991 once invoked, about $0.0002 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 2026-09-03.
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.