Scholar Evaluation
CheckedThis skill analyzes text to assess its scholarly quality – helpful for verifying research and ensuring credible sources.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add kjgarza/marketplace-claude --skill scholar-evaluation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
kjgarza
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.
Automated safety checks
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 kjgarza/marketplace-claude at df990ebb05.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- df990ebb05
- Scanned
- 3 files, 1,279 lines
About this skill
What it does
The kjgarza-scholar-evaluation skill allows AI agents to evaluate academic papers and provide summaries. It can analyze research papers, extract key findings, and assess their relevance based on provided criteria. The skill is designed for use with Claude.
When to use it
- Literature Reviews: Quickly summarize a set of research papers for background reading or identifying gaps in the literature.
- Grant Proposal Support: Evaluate potential sources and justify their inclusion in a grant proposal.
- Research Assistant Tasks: Assist researchers by providing concise summaries and assessments of relevant publications.
- Staying Current: Keep up-to-date with new research in a specific field by having the agent evaluate recent papers.
Key capabilities
- Academic paper evaluation
- Summary generation
- Relevance assessment
- Claude compatibility
Example prompts
- "Evaluate this academic paper: [paste URL or text of paper] and summarize its key findings."
- "Assess the relevance of this research paper to my work on [topic]: [paper content]."
- “Summarize the arguments presented in this paper, focusing on the methodology used: [paper content].”
Tips & gotchas
The skill is specifically designed for use with Claude. Providing clear evaluation criteria will improve the quality and relevance of the results.