Skillget

nerdy

agent
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Uyari
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool provides specialized "skills" (structured knowledge sets and instructions) distilled from famous computer science textbooks, designed to be injected into AI agents to improve their reasoning and prevent hallucinations. It acts as a prompt engineering resource rather than a standard executable application.

Security Assessment
The overall risk is Low. The project does not request any dangerous permissions and appears to function purely as a collection of Markdown files. No evidence suggests it makes external network requests, accesses sensitive user data, or executes shell commands independently. It relies on the standard `npx` package runner to install text files. However, the automated code scan could not verify the source files, meaning users are implicitly trusting the author's written content to be safe for their specific AI setup.

Quality Assessment
The project is very new and currently has low community visibility, evidenced by only 5 GitHub stars. It is under active development (last updated today) and properly licensed under the permissive MIT license. Only one textbook skill set (CLRS) is currently complete, with the rest still in the planning phases. As an open-source prompt repository, community trust is currently limited due to the lack of widespread testing and user feedback noted by the developer.

Verdict
Safe to use, as it is primarily a text-based knowledge base, though users should note its early-stage, low-visibility status.
SUMMARY

Skills from famous (or infamous) computer science tomes - "PhD-level intelligence." | 让AI替你读烦人的大部头

README.md

Nerdy Skills ☝️🤓

"PhD-level intelligence."

Empower your agents with the famous (or infamous) computer science textbooks:

  • Introduction to Algorithms (clrs)
  • Structure and Interpretation of Computer Programs (sicp)
  • Types and Programming Languages (tapl)
  • Computer Systems: A Programmer’s Perspective (csapp)
  • More coming... Recommendations are welcome!

Get started

Install all books

npx skills add arcadi4/nerdy

Install one specific book

npx skills add arcadi4/nerdy@bookname

Example: installing only Introduction to algorithms (clrs)

npx skills add arcadi4/nerdy@clrs

How to Use

I haven't received enough feedback nor performed enough real-world testing on these skills. Here is how these skills are intended to be used:

clrs

For small models, provide solid algorithmic knowledge to prevent hallucinations. For larger ones, provide a comprehensive analytical framework to prevent premature conclusions or the skipping of important details.

sicp

Helpful at the design or refactoring stage. Guide models to identify problematic patterns and to make potentially beneficial yet uncommon refactoring decisions that are seen less in the language's training data.

File structure

nerdy/
|-- [book-name]              # The book
    |-- SKILL.md             # Indexing skill. Book-specific instructions and ToC.
    |-- [sub-skill]/SKILL.md # Topic-based skills.
|-- tests                    # For benchmarking

Progress

  • CLRS: Complete. With 28 specialized skills + 1 indexing skill.
  • SICP: Planned. This will be the next book that I work on.
  • TaPL: Not yet started.
  • CSAPP: Not yet started.

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