act-code-reviewer
Review JusticeHub code against ACT ecosystem values. Enforces cultural protocols, ALMA principles, and regenerative design.
Best use case
act-code-reviewer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Review JusticeHub code against ACT ecosystem values. Enforces cultural protocols, ALMA principles, and regenerative design.
Teams using act-code-reviewer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/act-code-reviewer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How act-code-reviewer Compares
| Feature / Agent | act-code-reviewer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Review JusticeHub code against ACT ecosystem values. Enforces cultural protocols, ALMA principles, and regenerative design.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
Cursor vs Codex for AI Workflows
Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.
SKILL.md Source
# ACT Code Reviewer ## When to Use - Before implementing new JusticeHub features - Reviewing pull requests - When specs might violate cultural protocols - When ALMA integration is involved ## Sacred Boundaries ### NEVER Allowed 1. **Youth Profiling** - No risk scores, prediction, or individual rankings 2. **Family Data Exposure** - Family support data NEVER leaves source system 3. **Individual Optimization** - No engagement scores or volunteer rankings 4. **EL Data Extraction** - Link-based only, no data duplication ### ALWAYS Enforce 1. **ALMA Signals, Not Scores** - Direction indicators, not absolute rankings 2. **System Observation** - Track remand rates (system), not youth behavior 3. **Link-Based EL** - Store `empathy_ledger_profile_id`, not profile data 4. **Real-Time Consent** - Consent revocations processed immediately ## Review Process ### Phase 1: Cultural Protocol - Does this profile/rank youth? → REJECT - Does it access family support data? → REJECT - Does it duplicate EL profile data? → REJECT (use links) - Does ALMA use scores instead of signals? → REJECT ### Phase 2: ALMA Check - Which signal family? (System Pressure, Community Capability, etc.) - Direction (signals) or absolute values (scores)? - Helps understand systems or optimize individuals? ### Phase 3: Technical - Fits existing patterns? (App Router, RLS policies) - Config in code or external files? - New abstractions or existing patterns? ## File References | Need | Reference | |------|-----------| | Rejection templates | `references/rejection-templates.md` | | ALMA signal families | `references/alma-signals.md` | | Technical patterns | `references/technical-patterns.md` |
Related Skills
ethics-reviewer
This skill should be used when the user mentions "dark patterns", "accessibility", "a11y", "privacy", "tracking", "analytics", "notifications", "user data", "GDPR", "consent", "manipulation", "sustainability", "performance budget", or when building user-facing features that collect data, send notifications, display urgency, or gate access. Addresses ethical constraints in software design — manipulation, accessibility, privacy, and sustainability.
codex-reviewer
Use OpenAI's Codex CLI as an independent code reviewer to provide second opinions on code implementations, architectural decisions, code specifications, and pull requests. Trigger when users request code review, second opinion, independent review, architecture validation, or mention Codex review. Provides unbiased analysis using GPT-5-Codex model through the codex exec command for non-interactive reviews.
code-reviewer
Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.
banking-domain-reviewer
Code review agent with banking domain knowledge — validates business flows, compliance requirements, double-entry accounting, payment processing, and regulatory patterns in the Firefly Banking Platform
architect-reviewer
Use this agent when you need to evaluate system design decisions, architectural patterns, and technology choices at the macro level.
aidf-reviewer
Code reviewer focused on quality, consistency, and maintainability. Provides constructive, actionable feedback with rationale.
agent-native-reviewer
Use this agent when reviewing code changes to ensure features are agent-native - any action a user can take, an agent can also take, and anything a user can see, an agent can see. Triggers on requests like "agent-native review", "AI accessibility check".
agent-code-reviewer
Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
agent-architect-reviewer
Expert architecture reviewer specializing in system design validation, architectural patterns, and technical decision assessment. Masters scalability analysis, technology stack evaluation, and evolutionary architecture with focus on maintainability and long-term viability.
multi-model-reviewer
協調多個 AI 模型（ChatGPT、Gemini、Codex、QWEN、Claude）進行三角驗證，確保「Specification == Program == Test」一致性。過濾假警報後輸出報告，大幅減少人工介入時間。
ai-rules-reviewer
Review, fix, and create Builder.io Fusion rules files (.builderrules, .mdc, agents.md) for maximum AI effectiveness. Use to: (1) audit existing rules and get feedback, (2) fix rules that AI is ignoring, (3) get guidance when writing new rules.
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.