Scholar Evaluation
ListedThis skill analyzes text to assess its scholarly quality – helpful for verifying research and identifying 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 microck/ordinary-claude-skills --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
microck
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 microck/ordinary-claude-skills at 1056d293d4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1056d293d4
- Scanned
- 0 files
About this skill
What it does
The microck-scholar-evaluation skill allows an AI agent to assess and summarize academic papers. It can extract key findings, identify limitations, and provide a concise overview of research articles based on provided text or URLs. This facilitates quicker comprehension and analysis of scholarly work.
When to use it
- Literature Reviews: Quickly synthesize information from multiple research papers for background reading or literature review writing.
- Research Selection: Evaluate the relevance and quality of potential papers before committing to a full read.
- Understanding Complex Topics: Get a digestible summary of academic articles when lacking deep expertise in the field.
- Staying Updated: Keep abreast of new research findings without having to read every paper in detail.
Key capabilities
- Paper summarization
- Identification of key findings
- Limitation identification
- Concise overview generation
Example prompts
- "Summarize the following research paper: [paste text of abstract and introduction]"
- “Evaluate this article for its strengths and weaknesses: [URL to a research paper]"
- "Give me a concise overview of the key findings in this paper: [paste full paper content]"
Tips & gotchas
The skill’s effectiveness depends on the quality and completeness of the provided text or URL. Longer, more detailed papers will generally yield better results than short abstracts.