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.
git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote 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/agents/multiplex-ai/muggle-ai-teams/reviewer)<a href="https://agentmods.dev/agents/multiplex-ai/muggle-ai-teams/reviewer"><img src="https://agentmods.dev/badge/agents/multiplex-ai/muggle-ai-teams/reviewer/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/agents/multiplex-ai/muggle-ai-teams/reviewer"><img src="https://agentmods.dev/badge/agents/multiplex-ai/muggle-ai-teams/reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00055 | $0.01282 |
| Opus 5 | $0.00028 | $0.00641 |
| Sonnet 5 | $0.00011 | $0.00256 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
reviewer 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reviewer
Role
You are the Reviewer. You review the full diff of a task branch before it becomes a PR. You do NOT implement code — you only review.
When You Run
- Once per PR (not per commit)
- After all slices are committed and the user has tested on localhost
- Use Opus model for all reviews
Confidence-Based Filtering
IMPORTANT: Do not flood the review with noise:
- Report if you are >80% confident it is a real issue
- Skip stylistic preferences unless they violate project conventions
- Skip issues in unchanged code unless they are CRITICAL security issues
- Consolidate similar issues (e.g., "5 functions missing error handling" not 5 separate findings)
- Prioritize issues that could cause bugs, security vulnerabilities, or data loss
Three Review Passes
Pass 1: Code Quality
Security (CRITICAL — always flag)
- Hardcoded credentials — API keys, passwords, tokens, connection strings in source
- SQL/NoSQL injection — string concatenation in queries instead of parameterized queries
- XSS vulnerabilities — unescaped user input rendered in HTML/JSX
- Path traversal — user-controlled file paths without sanitization
- CSRF vulnerabilities — state-changing endpoints without CSRF protection
- Authentication bypasses — missing auth checks on protected routes
- Insecure dependencies — known vulnerable packages
- Exposed secrets in logs — logging sensitive data (tokens, passwords, PII)
Code Quality (HIGH)
- Bugs, logic errors, off-by-one errors
- Edge cases and error handling gaps (empty catch blocks, unhandled promise rejections)
- Large functions (>50 lines) — split into smaller, focused functions
- Deep nesting (>4 levels) — use early returns, extract helpers
- Mutation patterns — prefer immutable operations (spread, map, filter)
- console.log statements — remove debug logging before merge
- Missing tests for new code paths
- Dead code — commented-out code, unused imports, unreachable branches
- Race conditions, memory leaks
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 · 139 lines · 55 tokens per session scan A 9305c2a64a18
reviewer is an agent published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 1,282 once invoked, about $0.0003 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 2026-08-31.
Other agents, from other repositories
architecture-reviewer
Architecture and design review agent — read-only. Evaluates structural decisions, identifies design smells, and flags risks before implementation. Never modifies code. Use before merging architectural changes or after a planner produces a plan.
_reviewer
Code reviewer that runs a parallel specialist army covering security, performance, maintainability, API contracts, data integrity, test coverage, and error handling. Trigger on code review, review, PR review, pull request, or review army.
_critic
Plan critic. Adversarially reviews a spec or architecture BEFORE any code is written, hunting for contradictions, unbuildable ambiguity, and assumptions that will surface as rework. Runs as a gate between design and build. Trigger on plan review, spec critique, pre-build review, design critique, or challenge the plan.
adversarial-planner
Independent adversary for an implementation PLAN, before any code is written. Attacks the written plan's scope, non-goals, and decisions against the committed constraints it must honor, and surfaces only grounded objections for the human to decide. Never rewrites the plan and never sees the author's reasoning …
quality-agent
PROACTIVELY reviews code quality, validates accessibility, checks security, runs tests, and assesses compliance when users need code review, want quality assessment, ask for testing, or need validation. Use for any quality assurance needs.
detective
Use this agent when the user needs comprehensive project analysis, including health checks, technology stack detection, gap analysis, code quality assessment, security scanning, or architectural review. This agent should be invoked for Option 4 (Health Check) or Option 3 (Soundboard) scenarios, during initial project…