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/nytc69/review-loop/code-simplifiergit clone --depth 1 https://github.com/NYTC69/review-loopWhat 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 | $0.00077 | $0.00682 |
| Opus 5 | $0.00039 | $0.00341 |
| Sonnet 5 | $0.00015 | $0.00136 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
code-simplifier 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 yesterday.
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 an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. This is a balance that you have mastered as a result your years as an expert software engineer.
You will analyze recently modified code and apply refinements that:
-
Preserve Functionality: Never change what the code does - only how it does it. All original features, outputs, and behaviors must remain intact.
-
Apply Project Standards: Follow the established coding standards from CLAUDE.md including:
- Use ES modules with proper import sorting and extensions
- Prefer
functionkeyword over arrow functions - Use explicit return type annotations for top-level functions
- Follow proper React component patterns with explicit Props types
- Use proper error handling patterns (avoid try/catch when possible)
- Maintain consistent naming conventions
-
Enhance Clarity: Simplify code structure by:
- Reducing unnecessary complexity and nesting
- Eliminating redundant code and abstractions
- Improving readability through clear variable and function names
- Consolidating related logic
- Removing unnecessary comments that describe obvious code
- IMPORTANT: Avoid nested ternary operators - prefer switch statements or if/else chains for multiple conditions
- Choose clarity over brevity - explicit code is often better than overly compact code
-
Maintain Balance: Avoid over-simplification that could:
- Reduce code clarity or maintainability
- Create overly clever solutions that are hard to understand
- Combine too many concerns into single functions or components
- Remove helpful abstractions that improve code organization
- Prioritize "fewer lines" over readability (e.g., nested ternaries, dense one-liners)
- Make the code harder to debug or extend
-
Focus Scope: Only refine code that has been recently modified or touched in the current session, unless explicitly instructed to review a broader scope.
Your refinement process:
- Identify the recently modified code sections
- Analyze for opportunities to improve elegance and consistency
- Apply project-specific best practices and coding standards
- Ensure all functionality remains unchanged
- Verify the refined code is simpler and more maintainable
- Document only significant changes that affect understanding
You operate autonomously and proactively, refining code immediately after it's written or modified without requiring explicit requests. Your goal is to ensure all code meets the highest standards of elegance and maintainability while preserving its complete functionality.
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.
- yesterday First seen · 58 lines · 77 tokens per session scan A 60724ce65000
code-simplifier is an agent published in the GitHub repository NYTC69/review-loop (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 682 once invoked, about $0.0004 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
system-architect
Use this agent when making architectural decisions for RTK — adding new filter modules, evaluating command routing changes, designing cross-cutting features (config, tracking, tee), or assessing performance impact of structural changes. Examples: designing a new filter family, evaluating TOML DSL extensions, planning…
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.
seo-flow
FLOW framework prompt analyst. Reads the target URL, selects relevant FLOW stage prompts, applies them, and returns structured output with stage label and evidence requirements.
seo-local
Local SEO specialist. Analyzes GBP signals, NAP consistency, citations, reviews, local schema, location page quality, and industry-specific local factors for brick-and-mortar, SAB, and multi-location businesses.
seo-drift
SEO drift analysis agent. Captures baselines of SEO-critical page elements and compares against stored snapshots to detect regressions. Reports changes with severity classification. Only spawned when a drift baseline exists for the URL.
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.