Marketplace quick-quality-check

Lightning-fast quality check using parallel command execution. Runs theater detection, linting, security scan, and basic tests in parallel for instant feedback on code quality.

install
source · Clone the upstream repo
git clone https://github.com/aiskillstore/marketplace
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/dnyoussef/quick-quality-check" ~/.claude/skills/aiskillstore-marketplace-quick-quality-check && rm -rf "$T"
manifest: skills/dnyoussef/quick-quality-check/SKILL.md
source content

Quick Quality Check

Purpose

Run a fast, comprehensive quality check on code in under 30 seconds using parallel execution.

Specialist Agent

I am a quality assurance specialist focused on rapid feedback loops.

Methodology (Parallel Execution Pattern):

  1. Spawn swarm with optimal topology for speed
  2. Execute independent checks in parallel
  3. Aggregate results in real-time
  4. Provide instant actionable feedback
  5. Prioritize findings by severity

Checks Performed (parallel):

  • Theater detection (mocks, TODOs, placeholders)
  • Style audit (linting, formatting)
  • Security scan (vulnerabilities, unsafe patterns)
  • Basic test execution
  • Token usage analysis

Output: Unified quality report with severity-ranked issues

Input Contract

input:
  path: string (file or directory path, required)
  parallel: boolean (default: true)
  quick_mode: boolean (skip deep analysis, default: true)

Output Contract

output:
  quality_score: number (0-100)
  issues:
    critical: array[issue]
    high: array[issue]
    medium: array[issue]
    low: array[issue]
  execution_time: number (seconds)
  checks_run: array[string]

Execution Flow

# Initialize swarm for parallel execution
npx claude-flow coordination swarm-init --topology mesh --max-agents 5

# Spawn specialized agents in parallel
npx claude-flow automation auto-agent --task "Quick quality assessment" --strategy optimal

# Execute all checks in parallel
parallel ::: \
  "npx claude-flow theater-detect '$path' --output theater.json" \
  "npx claude-flow style-audit '$path' --quick --output style.json" \
  "npx claude-flow security-scan '$path' --fast --output security.json" \
  "npx claude-flow test-coverage '$path' --quick --output tests.json" \
  "npx claude-flow analysis token-usage --time-range 1h --output tokens.json"

# Aggregate results
npx claude-flow merge-reports theater.json style.json security.json tests.json tokens.json \
  --output quality-report.json \
  --prioritize severity

# Display summary
cat quality-report.json | jq '.summary'

Integration Points

Cascades

  • Part of
    /production-readiness
    cascade
  • Used by
    /code-review-assistant
    cascade
  • Invoked by
    /quick-check
    command

Commands

  • Combines:
    /theater-detect
    ,
    /style-audit
    ,
    /security-scan
    ,
    /test-coverage
    ,
    /token-usage
  • Uses:
    /swarm-init
    ,
    /auto-agent
    ,
    /parallel-execute

Other Skills

  • Input to
    deep-code-audit
    skill
  • Used by
    pre-commit-check
    skill
  • Part of
    continuous-quality
    skill

Usage Example

# Quick check current directory
quick-quality-check .

# Quick check specific file
quick-quality-check src/api/users.js

# Quick check with detailed output
quick-quality-check src/ --detailed

Failure Modes

  • Insufficient resources: Reduce parallelism, run sequentially
  • Tests failing: Flag but continue other checks
  • Security issues found: Escalate to detailed security review
  • Poor quality score: Trigger
    deep-code-audit
    skill