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 skills add totvs/engpro-advpl-tlpp-skills --skill refactor-method-complexity-reducegit clone --depth 1 https://github.com/totvs/engpro-advpl-tlpp-skillsWrote 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/skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce)<a href="https://agentmods.dev/skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce"><img src="https://agentmods.dev/badge/skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce/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/skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce"><img src="https://agentmods.dev/badge/skills/totvs/engpro-advpl-tlpp-skills/refactor-method-complexity-reduce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01717 |
| Opus 5.5 | $0.00024 | $0.00687 |
| Sonnet 5.5 | $0.00012 | $0.00343 |
| Haiku 4.5 | $0.00006 | $0.00172 |
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.
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
-
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
-
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
-
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)
-
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
-
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
-
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
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.
- 1mo ago First seen · 195 lines · 60 tokens per session scan A 7d7483983285
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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