Claude skill that teaches Claude to analyze Python code quality using CRAPQuants — CRAP scores, complexity metrics, and diagnostics from 6 software engineering books. Works in Claude.ai, Claude Code, and the API. #claude #claude-skill #agent-skills #anthropic #code-quality #python #static-analysis #crap-metric #codescanner #Codereview
crapquants-skill is a Claude Code agent skill that claude skill that teaches Claude to analyze Python code quality using CRAPQuants — CRAP scores, complexity metrics, and diagnostics from 6 software engineering books. Works in Claude.ai, Claude Code, and the API. #claude #claude-skill #agent-skills #anthropic #code-quality #python #static-analysis #crap-metric #codescanner #Codereview.
npx skills add DockyardTechlabs/crapquants-skillInstalled? Explore more 研究與資料分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Claude skill that teaches Claude to analyze Python code quality using CRAPQuants — CRAP scores, complexity metrics, and diagnostics from 6 software engineering books. Works in Claude.ai, Claude Code, and the API. #claude #claude-skill #agent-skills #anthropic #code-quality #python #static-analysis #crap-metric #codescanner #Codereview
Source: https://github.com/DockyardTechlabs/crapquants-skill
Pushed: 2026-06-02T06:38:54Z
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.