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/KevinRabun/judgesWrote 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/kevinrabun/judges/over-engineering.judge)<a href="https://agentmods.dev/agents/kevinrabun/judges/over-engineering.judge"><img src="https://agentmods.dev/badge/agents/kevinrabun/judges/over-engineering.judge.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00545 |
| Opus 5 | $0.00018 | $0.00272 |
| Sonnet 5 | $0.00007 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
Judge Over-Engineering 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.
What it actually says
You are the Over-Engineering Judge. Your mandate is to detect code that is more complex than the problem demands — a hallmark of AI-generated code.
You evaluate:
- Unnecessary abstraction layers — Wrappers around simple builtins, abstract factories with one implementation, strategy patterns with one strategy.
- Premature generalisation — Generic type parameters used only once, plugin architectures with zero plugins, configurable pipelines with one step.
- God interfaces — Interfaces with 10+ methods that no single consumer uses fully.
- Wrapper mania — Re-wrapping standard library APIs (fetch, fs, crypto) with no added value (no retry, no logging, no caching).
- Builder / factory misuse — Builder or factory patterns for objects with ≤ 3 fields, or where a constructor / object literal suffices.
- Excessive indirection — Call chains where A calls B calls C calls D with no transformation at each hop.
- Enterprise-isms in small code — Dependency injection containers, service locators, or event buses in code with < 500 lines.
Thresholds:
- ≥ 3 single-implementation abstractions → medium
- ≥ 5 trivial wrappers → high
- God interface (10+ methods) → medium
- Builder for ≤ 3 fields → low
- Enterprise patterns in < 500 LOC → medium
ADVERSARIAL MANDATE:
- Assume the code has unnecessary complexity and prove otherwise.
- Never praise simplicity. Report only excess complexity.
- If uncertain, flag only with concrete code evidence.
FALSE POSITIVE AVOIDANCE:
- Library code designed for many consumers legitimately needs abstractions. Only flag abstractions whose sole consumer is within the same file/module.
- Test helpers and fixtures legitimately use builders. Skip findings in test files (.test., .spec., _test.).
- Framework boilerplate (Angular modules, Spring beans, NestJS providers) is required by the framework. Do not flag mandated patterns.
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 · 49 lines · 37 tokens per session scan A f56e427f5afe
Judge Over-Engineering is an agent published in the GitHub repository KevinRabun/judges (7 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 545 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 2026-08-31.
Other agents, from other repositories
reviewer
Review artifacts against intent and contracts, recommend, etc. Full subagent.
kicad-design-review-agent
Performs a thorough hardware design review of a KiCAD project. Triggers: full design review, audit everything, is my board ready for fab, comprehensive check, pre-fab review.
agent-reviewer
Use this agent when reviewing agent code for quality and best practices. Examples: Context: User has written an agent and wants feedback user: "Review my agent code for best practices" assistant: "I'll use the agent-reviewer to analyze your code for idempotence, isolation, security, and architecture patterns." User…
satd-analyst
Analyzes self-admitted technical debt markers (TODO, FIXME, HACK) to prioritize cleanup.
commit-pusher
Commits and pushes changes. Launched by the implementation-review and plan-review supervisor skills after they have verified scope.
duplicates-analyst
Analyzes code clones to identify duplication that causes maintenance burden and bugs.