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Scholar Evaluation

Checked
k-dense-ai·vlatest·writing·MIT

Evaluates academic papers based on citation density and relevance to a specified research area using AI.

Repository

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 k-dense-ai/scientific-agent-skills --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

k-dense-ai

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 k-dense-ai/scientific-agent-skills at a1043ef544.

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

Commit
a1043ef544
Manifest
skills/scholar-evaluation/SKILL.md
Scanned
18 files, 4,228 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 k-dense-ai-scholar-evaluation skill allows AI agents to evaluate academic papers and scholarly articles. It can assess the quality, relevance, and potential impact of research based on provided text or URLs. The skill aims to provide concise summaries and critical assessments suitable for researchers and academics.

When to use it

  • Literature Reviews: Quickly analyze a set of papers for inclusion in a literature review.
  • Grant Proposal Support: Evaluate the strength of existing research cited within grant proposals.
  • Research Trend Analysis: Assess the quality and impact of recent publications in a specific field.
  • Staying Current: Summarize and critique new articles to stay up-to-date with developments in your area of expertise.

Key capabilities

  • Paper evaluation
  • Scholarly article assessment
  • Quality analysis
  • Relevance determination
  • Impact potential estimation

Example prompts

  • "Evaluate the attached paper on [topic] and provide a summary of its key findings and limitations."
  • "Assess the relevance of this research paper: [URL] to my work on [related topic]."
  • "Can you critique this article for potential bias or methodological flaws? [Paste text]"

Tips & gotchas

The skill's effectiveness depends heavily on the quality and completeness of the provided input (text or URL). Ensure the full paper content is accessible for accurate evaluation.