No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Agents365-ai · MCP Server · ★ 179
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is asta-skill safe to install? View the security audit →
asta-skill — Semantic Scholar via Ai2 Asta MCP 🔭 中文文档 Request API Key What it does Search the Semantic Scholar academic corpus by keyword, title, author, or full-text snippet Look up a paper from any ID (DOI, arXiv, PMID, PMCID, CorpusId, MAG, ACL, SHA, URL) Traverse citations — find who cited a given paper, with filtering and pagination Batch-lookup multiple papers in one call via Snippet search — retrieve 500-word passages from paper bodies for evidence grounding Author discovery — find researchers and list their publications Zero-code integration — the skill is a pure instruction pack; all I/O goes through the Asta MCP server Triggers automatically whenever the user asks for papers, citations, academic search, or literature discovery and Asta tools are registered Multi-Platform Support Works with any agent that speaks MCP and any host that loads Agent Skills: namespace + MCP config
| Stars | 179 |
| Forks | 5 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.5781105324129/100 |
| Last Updated | 2026-07-16 |
| Created | 2026-04-08 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~18k |
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asta-skill is Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe defaults, multi-agent.. It is categorized as a MCP Server with 179 GitHub stars.
You can find installation instructions and usage details in the asta-skill GitHub repository at github.com/Agents365-ai/asta-skill. The project has 179 stars and 5 forks, indicating an active community.
asta-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to asta-skill on Agent Skills Hub include phd-skills, awesome-ai-agent-skills, skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: