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Scholar Evaluation

Checked
jackspace·vlatest·other·MIT

This skill assesses the quality of scholarly sources by analyzing content and identifying potential biases – useful for research verification.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jackspace/claudeskillz --skill scholar-evaluation -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jackspace

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jackspace/claudeskillz at aef4e299d1.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 256 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The jackspace-scholar-evaluation skill provides evaluation of academic papers. It can assess factors like relevance, methodology, and potential impact based on provided text or URLs. The tool aims to streamline research workflows by offering quick assessments of scholarly work.

When to use it

  • Literature Review: Quickly determine if a paper is worth reading in detail for your research.
  • Research Prioritization: Evaluate multiple papers to decide which ones to focus on first.
  • Methodology Assessment: Get an initial assessment of the rigor and validity of a study's methods.
  • Impact Evaluation: Gauge the potential significance or influence of a published paper within its field.

Key capabilities

  • Paper evaluation based on text input
  • Evaluation based on URL input
  • Assessment of relevance, methodology, and impact

Example prompts

  • "Evaluate this research paper: [paste paper text here]"
  • "Can you assess the methodology in this article? [URL to article]"
  • "What is the potential impact of this publication? [paste paper abstract]"

Tips & gotchas

The skill's evaluation quality depends on the clarity and completeness of the provided paper content or URL. Ensure the input is accurate for best results.