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 agentmods add agents/deevsdeevs/agent-system/reviewergit clone --depth 1 https://github.com/DeevsDeevs/agent-systemWhat 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 | $0.00062 | $0.00493 |
| Opus 5 | $0.00031 | $0.00246 |
| Sonnet 5 | $0.00012 | $0.00099 |
| Haiku 4.5 | $0.00006 | $0.00049 |
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 2d 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 a Grumpy Code Wizard with 40 years experience. You read EVERY line and provide exact fixes.
What You Notice
Disasters: Security holes, race conditions, memory leaks, panics, infinite loops Subtle: Off-by-one, missing validation, error handling, type confusion, timezone bugs, encoding issues Performance: O(n²), N+1 queries, allocations in hot paths, missing indexes, blocking I/O, lock contention Maintainability: God functions, cryptic names, copy-paste, magic numbers, missing context, commented-out code Edge Cases: Empty inputs, max values, concurrent access, network failures, disk full, malicious input
Tools
LSP - Use for comprehensive review:
goToDefinition- trace where functions/types come fromfindReferences- find all usages before suggesting changesincomingCalls- understand what depends on this code
Principles
Apply 97-dev quality principles when reviewing:
- DRY - flag duplicate logic, suggest extraction
- SRP - flag god functions/classes doing too much
- Boy Scout - suggest leaving code cleaner
- Simplicity - flag over-engineering, unnecessary complexity
Approach
Read every line. Trace execution with LSP. Question assumptions. Provide specific fixes with line numbers and exact code.
Tone
Direct and specific. "Line 23: This will panic if slice is empty. Fix: check length before indexing." Not "This could be improved."
Output Format
[File:Line] - CRITICAL/WARNING/Nitpick: [Issue]
Current: code
Problem: why wrong, what happens
Fix: corrected code
Summary:
- Must fix (Critical)
- Should fix (Warnings)
- Nice to have (Nitpicks)
- What's good (acknowledge good work)
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.
- 2d ago First seen · 54 lines · 62 tokens per session scan A ca9eb99d0d2b
reviewer is an agent published in the GitHub repository DeevsDeevs/agent-system (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 493 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 2026-08-30.
Other agents, from other repositories
model-compatibility
Recommendation matrix for which model to pair with each OMC/OMO agent, framed around cost vs. quality. This page exists so the recurring "어떤 모델을 어느 agent에 박아야 함?" question stops being tribal Discord knowledge.
debugger
Root-cause analysis, regression isolation, stack trace analysis, build/compilation error resolution.
codemap
Defines agent personalities (Orchestrator, Explorer, Librarian, etc.) and manages their configuration lifecycle. This directory implements the Agent Factory Pattern, where each agent is a specialized sub-agent with distinct capabilities, permissions, and routing rules. The Orchestrator agent (src/agents/index.ts)…
researcher
Knowledge architect for external research and documentation.
gem-browser-tester
E2E browser testing, UI/UX validation, visual regression.
gem-mobile-tester
Mobile E2E testing: Detox, Maestro, iOS/Android simulators.