complexity

boshu2/agentops · updated Apr 8, 2026

$npx skills add https://github.com/boshu2/agentops --skill complexity
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summary

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

skill.md

Complexity Skill

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

Analyze code complexity to identify refactoring targets.

Execution Steps

Given /complexity [path]:

Step 1: Determine Target

If path provided: Use it directly.

If no path: Use current directory or recent changes:

git diff --name-only HEAD~5 2>/dev/null | grep -E '\.(py|go)$' | head -10

Step 2: Detect Language

# Check for Python files
ls *.py **/*.py 2>/dev/null | head -1 && echo "Python detected"

# Check for Go files
ls *.go **/*.go 2>/dev/null | head -1 && echo "Go detected"

Step 3: Run Complexity Analysis

For Python (using radon):

# Check if radon is installed
which radon || pip install radon

# Run cyclomatic complexity
radon cc <path> -a -s

# Run maintainability index
radon mi <path> -s

For Go (using gocyclo):

# Check if gocyclo is installed
which gocyclo || go install github.com/fzipp/gocyclo/cmd/gocyclo@latest

# Run complexity analysis
gocyclo -over 10 <path>

Step 4: Interpret Results

Cyclomatic Complexity Grades:

Grade CC Score Meaning
A 1-5 Low risk, simple
B 6-10 Moderate, manageable
C 11-20 High risk, complex
D 21-30 Very high risk
F 31+ Untestable, refactor now

Step 5: Identify Refactor Targets

List functions/methods that need attention:

  • CC > 10: Should refactor
  • CC > 20: Must refactor
  • CC > 30: Critical, immediate action

Step 6: Write Complexity Report

Write to: .agents/complexity/YYYY-MM-DD-<target>.md

# Complexity Report: <Target>

**Date:** YYYY-MM-DD
**Language:** <Python/Go>
**Files Analyzed:** <count>

## Summary
- Average CC: <score>
- Highest CC: <score> in <function>
- Functions over threshold: <count>

## Refactor Targets

### Critical (CC > 20)
| Function | File | CC | Recommendation |
|----------|------|-----|----------------|
| <name> | <file:line> | <score> | <how to simplify> |

### High (CC 11-20)
| Function | File | CC | Recommendation |
|----------|------|-----|----------------|
| <name> | <file:line> | <score> | <how to simplify> |

## Refactoring Recommendations

1. **<Function>**: <specific suggestion>
   - Extract: <what to extract>
   - Simplify: <how to simplify>

## Next Steps
- [ ] Address critical complexity first
- [ ] Create issues for high complexity
- [ ] Consider refactoring sprint

Step 7: Report to User

Tell the user:

  1. Overall complexity summary
  2. Number of functions over threshold
  3. Top 3 refactoring targets
  4. Location of full report
  5. Run /refactor <function> to address critical complexity targets

Key Rules

  • Use the right tool - radon for Python, gocyclo for Go
  • Focus on high CC - prioritize 10+
  • Provide specific fixes - not just "refactor this"
  • Write the report - always produce artifact

Quick Reference

Simplifying High Complexity:

  • Extract helper functions
  • Replace conditionals with polymorphism
  • Use early returns
  • Break up long functions
  • Simplify nested loops

Examples

Analyzing Python Project

User says: /complexity src/

What happens:

  1. Agent detects Python files in src/ directory
  2. Agent checks for radon installation, installs if missing
  3. Agent runs radon cc src/ -a -s for cyclomatic complexity
  4. Agent runs radon mi src/ -s for maintainability index
  5. Agent identifies 3 functions with CC > 20, 7 functions with CC 11-20
  6. Agent writes detailed report to .agents/complexity/2026-02-13-src.md
  7. Agent recommends extracting nested conditionals in process_request() function

Result: Complexity report identifies process_request() (CC: 28) as critical refactor target with specific extraction recommendations.

Finding Refactor Targets in Go Module

User says: /complexity

What happens:

  1. Agent checks recent changes with git diff --name-only HEAD~5
  2. Agent detects Go files, verifies gocyclo installation
  3. Agent runs gocyclo -over 10 ./... on project
  4. Agent finds HandleWebhook() function with complexity 34
  5. Agent writes report with recommendation to extract validation logic
  6. Agent reports top 3 targets: HandleWebhook (34), ProcessBatch (22), ValidateInput (15)

Result: Critical function identified for immediate refactoring with actionable extraction plan.

See Also

  • refactor — Safe, verified refactoring for complexity targets

Troubleshooting

Problem Cause Solution
Tool not installed (radon/gocyclo) Missing dependency Agent auto-installs: pip install radon for Python or go install github.com/fzipp/gocyclo/cmd/gocyclo@latest for Go. Verify install path in $PATH.
No complexity issues found Threshold too high or genuinely simple code Lower threshold: try gocyclo -over 5 or check if path includes actual implementation files vs tests.
Report shows functions without recommendations Generic analysis without codebase context Read the high-CC functions to understand structure, then provide specific refactoring suggestions based on actual code patterns.
Mixed language project Multiple languages in target path Run analysis separately per language: /complexity src/python/ then /complexity src/go/, combine reports manually.

Discussion

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general reviews

Ratings

4.452 reviews
  • Liam Singh· Dec 20, 2024

    Useful defaults in complexity — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Omar Anderson· Dec 12, 2024

    Registry listing for complexity matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Henry Khanna· Dec 8, 2024

    I recommend complexity for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ganesh Mohane· Dec 4, 2024

    Solid pick for teams standardizing on skills: complexity is focused, and the summary matches what you get after install.

  • Sakura Mehta· Dec 4, 2024

    complexity has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 23, 2024

    We added complexity from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Omar Diallo· Nov 23, 2024

    complexity fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Advait Rao· Nov 11, 2024

    complexity is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Oct 14, 2024

    complexity fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Harris· Oct 14, 2024

    We added complexity from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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