Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Pharmaclaw Literature Agent
Search and retrieve biomedical and scientific literature from PubMed and Semantic Scholar with structured summaries, citation tracking, and open-access PDFs.
skill openclawclawhub Free
Search and retrieve biomedical and scientific literature from PubMed and Semantic Scholar with structured summaries, citation tracking, and open-access PDFs.
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/biorxiv_search.py, scripts/chain_entry.py, scripts/chain_entry_v2.py, scripts/clinicaltrials_search.py, scripts/pubmed_search.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.0.0
Provenance
- Publisher
- Cheminem
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Dual-source literature search combining PubMed (biomedical focus) and Semantic Scholar (broader CS/ML/AI coverage). Deduplicates across sources, enriches with citation metrics and TLDR summaries. Key capabilities: PubMed search with MeSH terms, abstracts, publication types Semantic Scholar search with citation counts, influential citations, TLDR Paper lookup by DOI or PMID Citation tracking (who cited this paper?) Related paper discovery (what did this paper reference?) Automatic query construction from compound/target/disease inputs Cross-source deduplication and enrichment
Quick Start
# Search by topic python scripts/pubmed_search.py --query "KRAS G12C inhibitor" --max-results 5 # Search Semantic Scholar (includes ML/AI papers) python scripts/semantic_scholar.py --query "graph neural network drug discovery" # Full chain: compound + disease context python scripts/chain_entry.py --input-json '{"compound": "sotorasib", "disease": "lung cancer"}' # Look up a specific paper and find who cited it python scripts/semantic_scholar.py --paper-id "DOI:10.1038/s41586-021-03819-2" --citations # Recent papers only (last 3 years) python scripts/pubmed_search.py --query "organometallic catalyst drug synthesis" --years 3
scripts/pubmed_search.py
PubMed via NCBI E-utilities (public, no key required, rate limit: 3 req/sec). --query <text> Required. Search query --max-results <N> 1-50 (default: 10) --sort <type> relevance | date (default: relevance) --years <N> Limit to last N years Returns: PMID, title, authors, journal, year, DOI, abstract, MeSH terms, keywords, publication types.
scripts/semantic_scholar.py
Semantic Scholar API (public, no key required, rate limit: 100 req/5 min). --query <text> Search query --paper-id <id> Paper ID (DOI:xxx, PMID:xxx, ArXiv:xxx) --related Get references of a paper (requires --paper-id) --citations Get papers citing a paper (requires --paper-id) --max-results <N> 1-50 (default: 10) --year-range <range> e.g., "2020-2026" or "2023-" Returns: title, authors, year, abstract, TLDR, citation count, influential citations, DOI, ArXiv ID, open-access PDF URL.
scripts/chain_entry.py
Standard PharmaClaw chain interface. Searches both PubMed and Semantic Scholar, deduplicates, and sorts by citation impact. Input keys: query, compound/name, target, disease, mechanism, reaction, topic, doi, pmid, max_results, years, context Automatic query building: {"compound": "aspirin", "disease": "colorectal cancer"} โ searches "aspirin colorectal cancer"
Chaining
FromInputToChemistry QueryCompound name/SMILESLiterature โ find published studiesCatalyst DesignReaction typeLiterature โ find catalyst optimization papersLiteratureKey findingsPharmacology โ validate claimsLiteratureSynthesis referencesChemistry Query โ retrosynthesisLiteraturePatent mentionsIP Expansion โ FTO analysis
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Docs
- SKILL.md
- scripts/biorxiv_search.py
- scripts/chain_entry_v2.py
- scripts/chain_entry.py
- scripts/clinicaltrials_search.py
- scripts/pubmed_search.py