Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API.
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholar --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aris-semantic-scholar .claude/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.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/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .claude/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholarType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholar --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aris-semantic-scholar .agents/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .agents/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholar --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aris-semantic-scholar .cursor/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .cursor/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenLAIR/dr-claw.git --path skills/aris-semantic-scholar--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholar --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aris-semantic-scholar .gemini/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .gemini/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholarInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aris-semantic-scholar .github/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .github/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenLAIR/dr-claw aris-semantic-scholar --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aris-semantic-scholar .opencode/skills/aris-semantic-scholar && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aris-semantic-scholar" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-semantic-scholar into .opencode/skills/aris-semantic-scholar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-semantic-scholar", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aris-semantic-scholarSearch published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API.
Aris Semantic Scholar is an agent skill from OpenLAIR/dr-claw. Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /aris-arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.
Its SKILL.md is about 2k 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. It works with Semantic Scholar and arXiv. The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d51b64e. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.semanticscholar.orgdoi.orgAlso links to:
semanticscholar.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SEMANTIC_SCHOLAR_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aris Semantic Scholar loads about 2k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 710 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash(*), Read, WriteAutomated 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.
The full file from OpenLAIR/dr-claw at commit d51b64e, republished under its MIT licence (© OpenLAIR). 710 words, ~2,027 tokens.
.claude/skills/aris-semantic-scholar/SKILL.md (or your agent's skills folder).Search topic or paper ID: $ARGUMENTS
This skill is the published venue counterpart to /aris-arxiv:
| Skill | Source | Best for |
|---|---|---|
/aris-arxiv | arXiv API | Latest preprints, cutting-edge unrefereed work |
/aris-semantic-scholar | Semantic Scholar API | Published journal/conference papers (IEEE, ACM, Springer, etc.) with citation counts, venue info, TLDR |
Do NOT duplicate arXiv's job. If results contain an externalIds.ArXiv field, the paper is also on arXiv — note this but do not re-fetch from arXiv.
tools/semantic_scholar_fetch.py relative to the project root. Fall back to inline Python if not found.--fields-of-study "Computer Science,Engineering"--publication-types JournalArticle,ConferenceOverrides (append to arguments):
/aris-semantic-scholar "topic" - max: 20— return up to 20 results/aris-semantic-scholar "topic" - type: journal— only journal articles/aris-semantic-scholar "topic" - type: conference— only conference papers/aris-semantic-scholar "topic" - min-citations: 50— only highly-cited papers/aris-semantic-scholar "topic" - year: 2022-— papers from 2022 onward/aris-semantic-scholar "topic" - fields: all— remove default field-of-study filter/aris-semantic-scholar "topic" - sort: citations— bulk search sorted by citation count/aris-semantic-scholar "DOI:10.1109/..."— fetch a single paper by DOI
Parse $ARGUMENTS for directives:
10.1109/TWC.2024.1234567f9314fd99be5f2b1b3efcfab87197d578160d553ARXIV:2006.10685CorpusId:219792180- max: N: override MAX_RESULTS- type: journal|conference|review|all: map to --publication-types- min-citations: N: map to --min-citations- year: RANGE: map to --year (e.g. 2022-, 2020-2024)- fields: FIELDS: override --fields-of-study (use all to remove filter)- sort: citations|date: use search-bulk with --sort citationCount:desc or publicationDate:descIf the argument matches a DOI pattern (10.XXXX/...), a Semantic Scholar ID (40-char hex), or a prefixed ID (ARXIV:..., CorpusId:...), skip search and go directly to Step 3.
Locate the fetch script:
SCRIPT=$(find tools/ -name "semantic_scholar_fetch.py" 2>/dev/null | head -1)
[ -z "$SCRIPT" ] && SCRIPT=$(find ~/.claude/skills/semantic-scholar/ -name "semantic_scholar_fetch.py" 2>/dev/null | head -1)Standard search (default — relevance-ranked):
python3 "$SCRIPT" search "QUERY" --max MAX_RESULTS \
--fields-of-study "Computer Science,Engineering" \
--publication-types JournalArticle,ConferenceBulk search (when - sort: is specified, or MAX_RESULTS > 100):
python3 "$SCRIPT" search-bulk "QUERY" --max MAX_RESULTS \
--sort citationCount:desc \
--fields-of-study "Computer Science" \
--year "2020-"If semantic_scholar_fetch.py is not found, fall back to inline Python using urllib against https://api.semanticscholar.org/graph/v1/paper/search.
Recommended filter combos (from testing):
| Goal | Flags |
|---|---|
| High-quality journal papers | --publication-types JournalArticle --min-citations 10 |
| CS/EE papers, recent | --fields-of-study "Computer Science,Engineering" --year "2022-" |
| Foundational / high-impact | search-bulk --sort citationCount:desc --fields-of-study "Computer Science" |
| Conference papers only | --publication-types Conference |
Note:
--venuerequires exact venue names (e.g. "IEEE Transactions on Signal Processing"), not partial matches like "IEEE". Avoid using--venuein automated flows — prefer--publication-types+--fields-of-study.
When a single paper ID is requested:
python3 "$SCRIPT" paper "PAPER_ID"Where PAPER_ID can be:
10.1109/TSP.2021.3071210ARXIV:2006.10685CorpusId:219792180f9314fd99be5f2b1b3efcfab87197d578160d553For each result, check externalIds.ArXiv:
/aris-arxiv.Present results as a table:
| # | Title | Venue | Year | Citations | Authors | Type |
|---|-------|-------|------|-----------|---------|------|
| 1 | Deep Learning Enabled... | IEEE Trans. Signal Process. | 2021 | 1364 | Xie et al. | Journal |For each paper, also show:
https://doi.org/DOI (for IEEE/ACM papers, this is the canonical link)openAccessPdf.url is non-empty, show itexternalIds.ArXiv exists, note the arXiv IDFor each paper (or top 5 if many results):
## [Title]
- **Venue**: [venue name] ([publicationVenue.type]: journal/conference)
- **Year**: [year] | **Citations**: [citationCount]
- **Authors**: [full author list]
- **DOI**: [doi link]
- **Fields**: [fieldsOfStudy]
- **TLDR**: [tldr.text if available]
- **Abstract**: [abstract]
- **Open Access**: [openAccessPdf.url or "Not available"]
- **Also on arXiv**: [ArXiv ID if exists, else "No"]Summarize what was done:
Found N published papers for "query"Filters applied: [publication types, fields, year range, etc.]N papers are venue-only (not on arXiv)Suggest follow-up skills:
/aris-arxiv "topic" - search arXiv preprints (complements this search)
/aris-research-lit "topic" - multi-source review: Zotero + local PDFs + arXiv + S2
/aris-novelty-check "idea" - verify novelty against literature--fields-of-study and --publication-types unless user says - fields: all. Without filters, S2 returns cross-discipline noise (linguistics, psychology, etc.).citationCount prominently and use it to rank/prioritize results.venue and publicationVenue.type (journal vs conference) — this helps users assess paper quality.SEMANTIC_SCHOLAR_API_KEY env var for higher limits (free at https://www.semanticscholar.org/product/api#api-key-form)./aris-arxiv or /aris-research-lit "topic" - sources: web as fallback.© OpenLAIR, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/aris-semantic-scholar of OpenLAIR/dr-claw.
Open the folder on GitHubat commit d51b64e
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in OpenLAIR/dr-claw, which our catalogue first saw on October 7, 2026.
Aris Semantic Scholar 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aris Semantic Scholar this skillOpenLAIR/dr-claw | 1.2k | 1 repos | ~2k | Automated safety check: Notes | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Nature Academic Searchwp-a/nature-academic-search | 304 | — | ~1.4k | Automated safety check: Pass | MIT |
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
wp-a/nature-academic-search
A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…
openags/paper-search-mcp
Search, download, and read academic papers through the paper-search MCP tools (mcppaper-search), covering arXiv, PubMed, bioRxiv, Semantic Scholar, Crossref, OpenAlex and 15+ other sources.
OpenLAIR/dr-claw
Analyzes reviewer comments and drafts venue-specific rebuttals for AI and computer science conferences, with an issue board, task list and paper edit plan.
OpenLAIR/dr-claw
Turns a research paper into a slide deck and, optionally, a narrated demo video, through script, slide generation, text-to-speech and video assembly stages you control.
OpenLAIR/dr-claw
Clusters the latest news-feed results by topic and writes a briefing of research idea seeds with citations, plus a structured seeds file, without crawling new sources.
OpenLAIR/dr-claw
Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table.
OpenLAIR/dr-claw
Runs multi-source web research through Google's Gemini Deep Research Agent with a bundled Python script and saves a structured, cited report as files.
OpenLAIR/dr-claw
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.
Works with
Categories
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Aris Semantic Scholar is an agent skill from OpenLAIR/dr-claw.) via Semantic Scholar API.
Aris Semantic Scholar fits situations like: user says search semantic scholar; find IEEE papers; find journal papers; citation search.
Run `npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a claude-code`. Or copy the skill folder (skills/aris-semantic-scholar in OpenLAIR/dr-claw) into .claude/skills/aris-semantic-scholar in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a codex`. Or copy the skill folder (skills/aris-semantic-scholar in OpenLAIR/dr-claw) into .agents/skills/aris-semantic-scholar in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenLAIR/dr-claw --skill aris-semantic-scholar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aris-semantic-scholar, .gemini/skills/aris-semantic-scholar, .github/skills/aris-semantic-scholar and .opencode/skills/aris-semantic-scholar in your project.
Going by SKILL.md and its folder, Aris Semantic Scholar needs the command-line tools its instructions call (python3) and credentials named SEMANTIC_SCHOLAR_API_KEY. Our summary lists: Python 3; A credential in SEMANTIC_SCHOLAR_API_KEY. Its frontmatter pre-approves these tools: Bash(*), Read, Write.
SKILL.md names 3 domains. In commands or code: api.semanticscholar.org and doi.org; the agent is likely to contact these when it follows the instructions. As links in the text: semanticscholar.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Aris Semantic Scholar is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aris Semantic Scholar: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars), Paper Search (openags/paper-search-mcp, 2.8k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 17, 2026.
Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.