# Send Scholar Research to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "scholar-research", "name": "Scholar Research", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/jcheng67/scholar-research", "canonicalUrl": "https://clawhub.ai/jcheng67/scholar-research", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/scholar-research", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=scholar-research", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "_meta.json", "config.json", "pyproject.toml", "references/apis.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/scholar-research" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/scholar-research", "downloadUrl": "https://openagent3.xyz/downloads/scholar-research", "agentUrl": "https://openagent3.xyz/skills/scholar-research/agent", "manifestUrl": "https://openagent3.xyz/skills/scholar-research/agent.json", "briefUrl": "https://openagent3.xyz/skills/scholar-research/agent.md" } } ``` ## Documentation ### Scholar Research Skill Search and analyze academic papers from open access sources with credibility scoring and detailed summaries. ### When to Use User wants to find papers on a specific topic User needs credibility assessment of papers User wants summarized research with methodology User wants to track field evolution over time User needs figures/tables extracted from top papers ### Data Sources (Free/Open Access) The skill searches across these sources: arXiv - Pre-prints (Physics, Math, CS, q-bio, q-fin) PubMed/PMC - Biomedical & Life sciences DOAJ - Peer-reviewed OA journals (all disciplines) OpenAlex - 250M+ papers metadata CORE - Largest OA full-text aggregator Semantic Scholar - Limited free tier Unpaywall - Finds free versions of paywalled papers CrossRef - All DOI metadata bioRxiv - Biology pre-prints medRxiv - Medicine pre-prints Zenodo - EU research data/papers HAL - French OA repository J-STAGE - Japanese OA repository SSRN - Economics, Law pre-prints ### User-Added Sources Users can add custom sources via config: { "custom_sources": [ {"name": "My University", "url": "https://repo.my.edu", "api": "..."} ] } ### Default Weights (Total: 100 + 40 bonus) Paper Quality (100 points): FactorWeightDescriptioncitation_count15%Times cited by other paperspublication_recency10%Newer = more relevantauthor_reputation12%Combined h-index of authorsjournal_impact12%Impact factor, CiteScorepeer_review_status10%Peer-reviewed vs pre-printopen_access8%Free to read/downloadretraction_status10%Not retractedauthor_network8%Connected to established networkfunder_acknowledgment5%Clear funding sourcesreproducibility5%Code/data available Bonus Points (up to +40): Author Trust: +20 max Journal Reputation: +20 max ### Customizing Weights Users can modify weights in config: { "scoring": { "citation_count": 25, "publication_recency": 5 } } Or use preset profiles: "strict", "recent_only", "balanced" ### Top Papers (default: 5, user-configurable) [1] Paper Title (Year) Score: 95/100 | Citations: 234 📄 PDF | 📊 Figures | 🔬 SI Summary: [One paragraph] Methodology: [Detailed breakdown] ### Field Timeline 📈 FIELD TIMELINE (N papers) 2024: ████████████████████ 15 papers → Major: [Breakthrough 1] → Trend: [Trend 1] 2023: ████████████████ 12 papers → Major: [Breakthrough 2] ### Credibility Distribution 📊 Credibility Distribution Score 90-100: ██ (5) ★ Top Score 70-89: ████████ (15) Score 50-69: ██████████████████ (25) Score 30-49: ██████████ (10) Score 0-29: ██ (2) [████████████░░░░░░░░░] Average: 58/100 ### Workflow Search: Query across all enabled sources Fetch: Download metadata + PDFs Score: Calculate credibility scores Sort: Rank by score + relevance Present: Top N papers + timeline Extract: Figures from top-scored papers (optional) ### Usage Examples Find papers on: machine learning Fields: computer science, AI Top papers: 5 Extract figures: true Find papers on: quantum computing Fields: physics Top papers: 10 Extract figures: false ### Dependencies Python 3.8+ requests (API calls) beautifulsoup4 (parsing) pypdf2 (PDF extraction) opencv-python (figure detection) transformers (summarization) matplotlib (visualization) ### Configuration See config.json for: API keys Source enable/disable Scoring weights Display preferences Custom sources ### Notes Always prioritize open access sources Cite sources in responses Warn about pre-print limitations Check retraction status when available Respect rate limits ## Trust - Source: tencent - Verification: Indexed source record - Publisher: jcheng67 - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-05-07T17:22:31.273Z - Expires at: 2026-05-14T17:22:31.273Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/scholar-research) - [Send to Agent page](https://openagent3.xyz/skills/scholar-research/agent) - [JSON manifest](https://openagent3.xyz/skills/scholar-research/agent.json) - [Markdown brief](https://openagent3.xyz/skills/scholar-research/agent.md) - [Download page](https://openagent3.xyz/downloads/scholar-research)