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Industry Standard Reviewer

  • 180 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Run pre-merge reviews that benchmark diffs against common industry conventions for structure, safety, observability, and maintainability beyond linter output.

About

industry-standard-reviewer evaluates pull requests and patches against broadly accepted software engineering practices, spanning readability, testing discipline, error handling, and operational readiness. It helps teams enforce consistent quality bars during code review without relying solely on automated formatters or ad-hoc opinions.

  • Checks naming, layering, and API contract hygiene
  • Flags missing tests, logging, and error handling
  • Compares patterns to widely adopted style guides
  • Surfaces security and performance smell regressions
  • Generates structured review comments for PRs

Industry Standard Reviewer by the numbers

  • 180 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #354 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill industry-standard-reviewer

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Listed on Skillselion
Installs180
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Run pre-merge reviews that benchmark diffs against common industry conventions for structure, safety, observability, and maintainability beyond linter output.

Files

SKILL.mdMarkdownGitHub ↗

Industry Standard Reviewer

Purpose and Intent

The industry-standard-reviewer helps bridge the gap between "student code" and "professional code." It provides feedback that focuses on the soft and hard skills required to succeed in a professional engineering environment.

When to Use

  • Final Project Reviews: Use this to give students a "real-world" experience of what a rigorous code review feels like.
  • Career Preparation: Helps students learn the professional tone and common "clean code" critiques.

When NOT to Use

  • Initial Learning: For absolute beginners, this level of critique might be overwhelming. Use the pedagogical-code-grader first.

Security and Data-Handling Considerations

  • Local processing of code snippets; ensures student privacy.

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