refactor-method-complexity-reduce

refactor-method-complexity-reduce is a skill for Claude Code, Codex from totvs/engpro-advpl-tlpp-skills. It costs 60 tokens per session (1,717 once invoked), scanned A, original, MIT.

A refactoring guide for simplifying a method whose cognitive complexity is too high. Cognitive complexity measures how difficult code is to follow, especially when it has deep nesting and many conditions.

In plain words
What is it for?
Use it to reduce nested conditionals, repeated code, complex boolean expressions, loops, and large case-by-case processing in a named method.
Why use it?
It helps make a long or tangled method easier to read and maintain by moving distinct pieces of logic into focused helper methods.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to reduce nested conditionals, repeated code, complex boolean expressions, loops, and large case-by-case processing in a named method.

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Install with agentmods
npx agentmods add skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce
Install

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.

Any agent
npx skills add totvs/engpro-advpl-tlpp-skills --skill refactor-method-complexity-reduce
Clone the repo
git clone --depth 1 https://github.com/totvs/engpro-advpl-tlpp-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,717 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01717
Opus 5.5 $0.00024 $0.00687
Sonnet 5.5 $0.00012 $0.00343
Haiku 4.5 $0.00006 $0.00172

Measured 1mo ago against content hash 7d7483983285, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

refactor-method-complexity-reduce 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 1mo 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.

skills/advpl-tlpp/refactor-method-complexity-reduce/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Refactor Method to Reduce Cognitive Complexity

Objective

Refactor the method ${input:methodName}, to reduce its cognitive complexity to ${input:complexityThreshold} or below, by extracting logic into focused helper methods.

Instructions

  1. Analyze the current method to identify sources of cognitive complexity:

    • Nested conditional statements
    • Multiple if-else or switch chains
    • Repeated code blocks
    • Multiple loops with conditions
    • Complex boolean expressions
  2. Identify extraction opportunities:

    • Validation logic that can be extracted into a separate method
    • Type-specific or case-specific processing that repeats
    • Complex transformations or calculations
    • Common patterns that appear multiple times
  3. Extract focused helper methods:

    • Each helper should have a single, clear responsibility
    • Extract validation into separate Validate* methods
    • Extract type-specific logic into handler methods
    • Create utility methods for common operations
    • Use appropriate access levels (static, private, async)
  4. Simplify the main method:

    • Reduce nesting depth
    • Replace massive if-else chains with smaller orchestrated calls
    • Use switch statements where appropriate for cleaner dispatch
    • Ensure the main method reads as a high-level flow
  5. Preserve functionality:

    • Maintain the same input/output behavior
    • Keep all validation and error handling
    • Preserve exception types and error messages
    • Ensure all parameters are properly passed to helpers
  6. Best practices:

    • Make helper methods static when they don't need instance state
    • Use null checks and guard clauses early
    • Avoid creating unnecessary local variables
    • Consider using tuples for multiple return values
    • Group related helper methods together

Implementation Approach

  • Extract helper methods before refactoring the main flow
  • Test incrementally to ensure no regressions
  • Use meaningful names that describe the extracted responsibility
  • Keep extracted methods close to where they're used
  • Consider making repeated code patterns into generic methods

Read the full file on GitHub · 195 lines

Changes

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.

  1. 1mo ago First seen · 195 lines · 60 tokens per session scan A 7d7483983285

Subscribe to this mod's changes

refactor-method-complexity-reduce is a skill published in the GitHub repository totvs/engpro-advpl-tlpp-skills (164 stars, last pushed 8d ago), licensed MIT. It adds 60 tokens to every session and 1,717 once invoked, about $0.0002 per session on Opus 5.5. 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.

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