Scholar Deep Research
8-phase, script-driven literature review across 7 scholarly APIs with a DOI-anchored bibliography.
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 14, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 3b718f6
Ran Phase 0→2 for real against live OpenAlex/arXiv/Crossref: got a ranked, DOI-anchored top-10 with real 2023-2026 LLM-agent survey papers and a rendered report scaffold with a verifiable bibliography — a memory-only baseline risks fabricated DOIs on exactly this kind of task. Caught one real bug: the SKILL.md's own Phase-2 example `research_state.py select --state research_state.json --top 20` fails (arg order); `--state` must precede the subcommand, as Phase-0's `init` example correctly shows.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 9/10
- Docs & honesty 4/5
What Scholar Deep Research does
Turns a research question into a cited literature review by running Python scripts against OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv and Exa, deduping and transparently ranking results, then chasing citations and forcing a self-critique pass before rendering a report with footnote anchors tied to real papers. Trigger on literature review / state-of-the-art / "what's known about X" / comparative-analysis requests; skip for tutorials or code debugging.
How to install Scholar Deep Research
git clone https://github.com/Agents365-ai/scholar-deep-research.git
cd scholar-deep-research
mkdir -p ~/.claude/skills
cp -r skills/scholar-deep-research ~/.claude/skills/scholar-deep-research
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Scholar Deep Research
-
/scholar-deep-research8-phase, script-driven literature review across 7 scholarly APIs with a DOI-anchored bibliography.
It also activates on plain-language prompts like these:
-
Do a literature review on LLM agents for automated research -
Find and rank papers on retrieval-augmented generation for me -
Build me a DOI-anchored bibliography on this research question
Frequently asked questions
- Is the Scholar Deep Research skill free?
- Yes. The skill itself is free from Agents365-ai/scholar-deep-research. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Scholar Deep Research work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 14, 2026. Verdict: Tested · Works. Ran Phase 0→2 for real against live OpenAlex/arXiv/Crossref: got a ranked, DOI-anchored top-10 with real 2023-2026 LLM-agent survey papers and a rendered report scaffold with a verifiable bibliography — a memory-only baseline risks fabricated DOIs on exactly this kind of task. Caught one real bug: the SKILL.md's own Phase-2 example `research_state.py select --state research_state.json --top 20` fails (arg order); `--state` must precede the subcommand, as Phase-0's `init` example correctly shows.
- What is the Scholar Deep Research SkillProof Score?
- 9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 9/10, docs & honesty 4/5.
- How do I install Scholar Deep Research?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Scholar Deep Research with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.