dnyoussef/ai-chrome-extension

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.

First seen Apr 2, 2026

Installation

$ npx skills add dnyoussef/ai-chrome-extension --skill quick-quality-check

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 4
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,316 B
  • docs SUMMARY.md 203 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 10 installs

SKILL.md

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