cyclomatic-complexity-skill: Claude skill: refactor code to reduce cyclomatic complexity

by saurabhkumar8112 · Claude Skill · ★ 78

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How to install cyclomatic-complexity-skill

/plugin marketplace add saurabhkumar8112/cyclomatic-complexity-skill
/plugin install cyclomatic-complexity@cyclomatic-complexity-skill

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 56/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsclaudecode-qualityrefactoring

Quick Facts

Stars78
Forks2
CategoryClaude Skill
LicenseApache-2.0
Quality Score56/100
Last Updated2026-08-26
Created2026-08-26
Platformsclaude-code
Est. Tokens~1k

About cyclomatic-complexity-skill

cyclomatic-complexity A Claude skill that refactors code to reduce cyclomatic complexity. Built for AI-generated code: it works, but branches like a jungle. This skill makes Claude measure complexity, refactor hotspots, and keep code maintainable for humans and the long-term vision of the codebase.

Compatible Skills

These tools work well together with cyclomatic-complexity-skill for enhanced workflows:

  • smell-check — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • code-humanizer — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • habit-hooks — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools