All In One Checker Github ^new^ 〈TESTED〉

Ultimate Guide to All-in-One Checker Tools on GitHub

Literature-style review: "All-in-One Checker" tools on GitHub

7. Measurement criteria (recommended metrics)

• Detection accuracy: TP, FP, FN rates on known dataset.
• Throughput: checks/sec with given concurrency and proxy pool size.
• Resource use: CPU, memory, network per worker.
• Robustness: behavior under rate-limits, timeouts, and CAPTCHAs.
• Maintainability: time since last commit, open issues, test coverage.

Pros

• Modular design – Many modules (e.g., spotify.py, netflix.py) can be added/removed easily.
• Proxy support – HTTP/S, SOCKS4/5 integration.
• Multi-threading – Fast checking of large combolists.
• Customizable – Easily add new sites via JSON or Python files.
• Beginner-friendly – Clear structure if you know basic Python.

Colorized terminal output

python checker.py --color

Feature: "All-in-One Checker" for GitHub Repositories

Core checks (default set)

1. Security
   • Dependabot/ npm/yarn/pip audit integration
   • SAST quick-scan (e.g., use semgrep rules or basic regex-based secrets scan)
   • Secret scanning (entropy + known patterns)
2. Dependency hygiene
   • Outdated dependencies report (major/minor/patch)
   • Unused dependencies heuristic (import graph)
3. Code quality
   • Linting (ESLint/flake8/clang-format depending on repo)
   • Formatting check (prettier/black)
   • Cyclomatic complexity per-file threshold
4. Tests & CI health
   • Detect presence of tests, run unit tests (if repository provides test script)
   • CI workflow file validation and last run status summary
5. Licensing & metadata
   • LICENSE presence and SPDX verification
   • package.json / pyproject / setup metadata completeness
6. Repo hygiene
   • .gitignore, CODEOWNERS, CONTRIBUTING.md, ISSUE_TEMPLATE, PR_TEMPLATE presence
   • Large file detection (LFS recommendations)
7. Static analysis / build
   • Attempt to run build script in a container (if present) and capture failures
8. Accessibility (for web projects)
   • Lighthouse or basic accessibility checks (if build produces assets)

Install requirements

pip install -r requirements.txt