Agent skill

Evaluating Paper Relevance

by wentorai in wentorai/Research-Claw

Two-stage paper screening - score OpenAlex abstracts, then deep dive into OA full text for specific data extraction

Custom licenceAuto-check passedResearch & Science

Install Evaluating Paper Relevance

skills CLI
$ npx skills add wentorai/Research-Claw --skill evaluating-paper-relevance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/Research-Claw evaluating-paper-relevance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/Research-Claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evaluating-paper-relevance .claude/skills/evaluating-paper-relevance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
evaluating-paper-relevance
GitHub stars
858
Token cost
~4.8k tokens
SKILL.md length
1,656 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Custom licence

At a glance

Two-stage paper screening - score OpenAlex abstracts, then deep dive into OA full text for specific data extraction

  • Works in 2 steps: Abstract Screening (Fast) → Deep Dive (Thorough)
  • Tasks that involve Academic paper search
  • SKILL.md covers Overview, When to Use, Choosing Your Approach and Two-Stage Process, plus 8 more sections
  • Calls curl; reaches doi.org and publisher.com

What it does

Evaluating Paper Relevance is an agent skill from wentorai/Research-Claw. Two-stage paper screening - score OpenAlex abstracts, then deep dive into OA full text for specific data extraction

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search. The repository describes itself as: In the AI era, why can't everyone be a Principal Investigator?

When your agent uses it

  • Tasks that involve Academic paper search

Example prompts

  • “/evaluating-paper-relevance”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Abstract Screening (Fast)
  2. Deep Dive (Thorough)

What it can do on your machine

Read from SKILL.md and the folder at commit 5015be7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • doi.org
    • publisher.com
    • ncbi.nlm.nih.gov
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Evaluating Paper Relevance loads about 4.8k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 1,656 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,656 words (~4,803 tokens).

“Two-stage screening process: quick abstract scoring followed by deep dive into promising papers.”

— opening of SKILL.md by wentorai, Custom licence
name
evaluating-paper-relevance
when_to_use
After literature search returns results. When need to determine if paper contains specific data. When screening papers for relevance. When extracting methods…
version
2.0.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/evaluating-paper-relevance of wentorai/Research-Claw.

Open the folder on GitHubat commit 5015be7

Compare with similar skills

Evaluating Paper Relevance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Evaluating Paper Relevance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Evaluating Paper Relevance this skillwentorai/Research-Claw858—~4.8kAutomated safety check: PassCustom licence
Read arXiv Paperkarpathy/nanochat59k1 repos~494Automated safety check: PassMIT
Perplexity Web Searchdavila7/claude-code-templates33k11 repos~3.5kAutomated safety check: NotesMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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Questions about Evaluating Paper Relevance

What does Evaluating Paper Relevance do?

Two-stage paper screening - score OpenAlex abstracts, then deep dive into OA full text for specific data extraction. Evaluating Paper Relevance is an agent skill from wentorai/Research-Claw.

When should I use Evaluating Paper Relevance?

Evaluating Paper Relevance fits situations like: tasks that involve Academic paper search.

How do I install Evaluating Paper Relevance in Claude Code?

Run `npx skills add wentorai/Research-Claw --skill evaluating-paper-relevance -a claude-code`. Or copy the skill folder (skills/evaluating-paper-relevance in wentorai/Research-Claw) into .claude/skills/evaluating-paper-relevance in your project. Claude Code loads it when a task matches its description.

How do I install Evaluating Paper Relevance in Codex?

Run `npx skills add wentorai/Research-Claw --skill evaluating-paper-relevance -a codex`. Or copy the skill folder (skills/evaluating-paper-relevance in wentorai/Research-Claw) into .agents/skills/evaluating-paper-relevance in your project. Codex loads it when a task matches its description.

Can I use Evaluating Paper Relevance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/Research-Claw --skill evaluating-paper-relevance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evaluating-paper-relevance, .gemini/skills/evaluating-paper-relevance, .github/skills/evaluating-paper-relevance and .opencode/skills/evaluating-paper-relevance in your project.

What does Evaluating Paper Relevance need to run?

Going by SKILL.md and its folder, Evaluating Paper Relevance needs the command-line tools its instructions call (curl).

Does Evaluating Paper Relevance access the network?

SKILL.md names 4 domains. In commands or code: doi.org, publisher.com, ncbi.nlm.nih.gov and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Evaluating Paper Relevance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Evaluating Paper Relevance use?

Evaluating Paper Relevance has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Evaluating Paper Relevance use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Evaluating Paper Relevance?

Skills that share tags, products or a category with Evaluating Paper Relevance: Read arXiv Paper (karpathy/nanochat, 59k stars), Perplexity Web Search (davila7/claude-code-templates, 33k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evaluating Paper Relevance?

wentorai (a GitHub user) maintains it in wentorai/Research-Claw, which has 858 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on August 20, 2026.

Source: wentorai/Research-Claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.