Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe defaults, multi-agent.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"asta-skill": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe defaults, multi-agent.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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English · 中文 · Asta MCP Overview · Request API Key
A pure instruction-pack skill that turns natural-language research questions into well-formed calls against Ai2's Asta MCP server (Semantic Scholar). Routes intent → tool, fills safe defaults, chains workflows, and warns you off the usual pitfalls. Works with Claude Code, Codex, Cursor, Windsurf, Hermes, opencode, OpenClaw, pi-mono, and any agent compatible with the Agent Skills format.
get_paper_batchWorks on any host that speaks MCP and loads Agent Skills — verified on Claude Code, Codex, Cursor, Windsurf, Hermes, opencode, OpenClaw/ClawHub, and pi-mono; indexed on SkillsMP. LM Studio (0.3.17+) supports MCP but does not auto-load skills — paste SKILL.md into the system prompt (see LM Studio (manual mode) in the install guide).
An agent host with MCP support (Claude Code, Codex, Cursor, Windsurf, opencode, OpenClaw/ClawHub, pi-mono, etc.)
An Asta API key — request here
export ASTA_API_KEY=xxxxxxxxxxxxxxxx
Two steps — register the MCP server first, then drop the skill into your host:
See USAGE.md for natural-language query examples and a chained asta-skill + paper-fetch walkthrough with screen