Scholar Evaluation
CheckedThis skill analyzes text to assess its scholarly quality – helpful for verifying research and ensuring accurate information.
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 ovachiever/droid-tings --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
ovachiever
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 ovachiever/droid-tings at 7acd12a754.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7acd12a754
- Scanned
- 3 files, 1,279 lines
About this skill
What it does
This skill, Scholar Evaluation, provides a structured methodology for assessing scholarly work using the ScholarEval framework. It enables AI agents to analyze academic papers, research proposals, literature reviews, and other scholarly writing across multiple quality dimensions. The evaluation is based on peer-reviewed research assessment criteria, allowing for comprehensive analysis of various aspects like problem formulation, methodology, data analysis, and presentation.
When to use it
- Evaluating research papers to determine their quality and rigor.
- Assessing the comprehensiveness and quality of literature reviews.
- Reviewing the design of a research methodology.
- Providing structured feedback on academic work.
- Benchmarking research quality against established criteria.
Key capabilities
- Applies the ScholarEval framework for systematic evaluation.
- Evaluates scholarly work across dimensions like Problem Formulation, Literature Review, Methodology, Data Collection, Analysis & Interpretation, Results & Findings, and Scholarly Writing & Presentation.
- Identifies strengths and weaknesses within each dimension.
- Provides scores where appropriate based on detailed criteria (see references/evaluation_framework.md).
Example prompts
- "Evaluate this research paper using the ScholarEval framework." [followed by text of the paper]
- "Assess the methodology section of this research proposal." [followed by text of the proposal's methodology]
- "Provide feedback on the clarity and organization of this literature review." [followed by text of the review]
Tips & gotchas
- The skill requires clarification regarding the evaluation scope (Comprehensive, Targeted, or Comparative) if it is ambiguous.
- Detailed criteria and rubrics for each evaluation dimension are found in the
references/evaluation_framework.mdfile.