Agent skill

Answering Research Questions

by wentorai in wentorai/Research-Claw

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize via the rp tools pipeline (Scopus + OpenAlex)

Custom licenceAuto-check passedResearch & Science

Install Answering Research Questions

skills CLI
$ npx skills add wentorai/Research-Claw --skill answering-research-questions -a claude-code

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

GitHub CLI
$ gh skill install wentorai/Research-Claw answering-research-questions --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/answering-research-questions .claude/skills/answering-research-questions && 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
answering-research-questions
GitHub stars
858
Token cost
~4.9k tokens
SKILL.md length
1,415 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Custom licence

At a glance

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize via the rp tools pipeline (Scopus + OpenAlex)

  • Works in 8 steps: Parse Query → Initialize Research Session → Search Literature → …
  • Tasks that involve Hypothesis generation
  • SKILL.md covers Overview, The Process, Workflow Checklist and Integration Points, plus 6 more sections
  • Reaches doi.org

What it does

Answering Research Questions is an agent skill from wentorai/Research-Claw. Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize via the rp tools pipeline (Scopus + OpenAlex)

Its SKILL.md is about 4.9k 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 Hypothesis generation and 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 Hypothesis generation
  • Tasks that involve Academic paper search

Example prompts

  • “/answering-research-questions”

Requirements

  • Python 3

Workflow steps

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

  1. Parse Query
  2. Initialize Research Session
  3. Search Literature
  4. Evaluate Papers
  5. Traverse Citations
  6. Checkpoint
  7. Synthesize Findings
  8. Final Consolidation

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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json, markdown, bash and python).

    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

    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

Answering Research Questions loads about 4.9k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,415 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

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 1,415 words (~4,875 tokens).

“Orchestrate the complete research workflow from query to findings.”

— opening of SKILL.md by wentorai, Custom licence
name
answering-research-questions
when_to_use
When user asks a research question. When user wants to find specific data in literature. When starting comprehensive literature review. When user says "find…
version
2.0.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/answering-research-questions of wentorai/Research-Claw.

Open the folder on GitHubat commit 5015be7

Compare with similar skills

Answering Research Questions 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.

Answering Research Questions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Answering Research Questions this skillwentorai/Research-Claw858—~4.9kAutomated safety check: PassCustom licence
Paper NavigatorEvoScientist/EvoSkills478—~6.3kAutomated safety check: NotesApache-2.0
Research PlatformZS520L/HanakoPro103—~1.1kAutomated safety check: PassApache-2.0
Paper NavigatorAI4Scientist/nano-scientist128—~7.7kAutomated safety check: NotesNone
Math Discovery Evidence Searchtradecatlabs/vibe-coding-cn17k—~554Automated safety check: PassMIT
Academic Research CompanionGRCEngClub/claude-grc-engineering419—~2.2kAutomated safety check: PassCustom licence

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Questions about Answering Research Questions

What does Answering Research Questions do?

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize via the rp tools pipeline (Scopus + OpenAlex). Answering Research Questions is an agent skill from wentorai/Research-Claw.

When should I use Answering Research Questions?

Answering Research Questions fits situations like: tasks that involve Hypothesis generation; tasks that involve Academic paper search.

How do I install Answering Research Questions in Claude Code?

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

How do I install Answering Research Questions in Codex?

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

Can I use Answering Research Questions 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 answering-research-questions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/answering-research-questions, .gemini/skills/answering-research-questions, .github/skills/answering-research-questions and .opencode/skills/answering-research-questions in your project.

What does Answering Research Questions need to run?

SKILL.md names no scripts, command-line tools or credentials: Answering Research Questions is instructions for the agent only. Our summary lists: Python 3.

Does Answering Research Questions access the network?

SKILL.md names 1 domain. In commands or code: doi.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Answering Research Questions 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 Answering Research Questions use?

Answering Research Questions 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 Answering Research Questions use?

About 4.9k tokens (SKILL.md is roughly 20k 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 Answering Research Questions?

Skills that share tags, products or a category with Answering Research Questions: Paper Navigator (EvoScientist/EvoSkills, 478 stars), Research Platform (ZS520L/HanakoPro, 103 stars), Paper Navigator (AI4Scientist/nano-scientist, 128 stars) and Math Discovery Evidence Search (tradecatlabs/vibe-coding-cn, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Answering Research Questions?

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.