If you're tired of AI agents rubber-stamping their own sloppy architecture, a new Claude Skill called Interns Review Plugin offers a brutally effective solution. Released on September 5, 2026, the tool forces your primary agent to spawn three subagents and critically review its work. The catch? You must treat their output exactly like the work of inexperienced, silly interns.
The Interns Review Protocol
The workflow is deceptively simple but enforces strict boundaries. Instead of letting your main agent make unilateral design decisions, the skill dictates that it must spawn three separate agents for adversarial review. You write all problem context to a file and instruct these subagents to read it independently. This separation of context prevents the primary agent from anchoring the reviewers to its own flawed assumptions.
Skepticism as a First-Class Feature
The most important instruction in the plugin is the mindset shift it demands. Developers must treat the replies from these three subagents as if they are coming from junior interns. The source explicitly warns: DO NOT OVERENGINEER. By framing the feedback as low-skill output, the skill prevents the primary agent from blindly integrating hallucinated or overly complex suggestions, keeping the final architecture grounded and pragmatic.
Key Takeaways
- The plugin requires spawning exactly three subagents to perform adversarial reviews on design choices.
- Context is passed via a file rather than the chat history to prevent anchoring bias.
- The core directive is to treat subagent feedback as low-skill, preventing overengineering.
- The repository is available at github.com/alpbahadur/interns-review-plugin.
The Bottom Line
Forcing your agent to distrust its own subagents is a genius way to keep multi-agent workflows from collapsing into self-referential complexity.