AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

双引擎论文搜索

skill-mrsgsa-math-modeling-skill-dify-paper-search · by MrSGSA

使用 OpenAlex 与 AnySearch 两个真实数据源并行搜索、交叉匹配和输出可追溯论文元数据。

No reviews yet
0 installs
9 views
0.0% view→install

Install

$ agentstack add skill-mrsgsa-math-modeling-skill-dify-paper-search

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-mrsgsa-math-modeling-skill-dify-paper-search)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
17d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of 双引擎论文搜索? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

双引擎论文搜索

数据源

  • OpenAlex:结构化学术元数据。
  • AnySearch Academic:学术垂直搜索,支持当前 MCP Markdown 响应解析。

默认并行调用两个引擎。DOI 相同的记录直接交叉验证;无 DOI 时仅在标题高度相似且年份相容时合并。同一引擎中标题规范化后相同的预印本与正式出版记录也会折叠,并优先保留引用信息和元数据更完整的记录。交叉匹配结果、OpenAlex 独有结果和 AnySearch 独有结果分开输出。

融合时按查询词覆盖率过滤和重排,相关性优先于引用量,避免高被引但主题无关的论文挤占结果。包含多个专业术语时,候选文献至少命中两个有效查询词;这一阈值兼顾缺少摘要的元数据,不能代替人工核验。物理、材料和光学主题应组合使用材料名、机理名与模型名,例如 Sellmeier 4H-SiC Fabry-Perot;结果过少时逐步放宽查询,不直接接受无关结果。

使用

python scripts/hybrid_scholar.py --query "robust optimization vehicle routing" --limit 10 --json

如 AnySearch 需要鉴权:

$env:ANYSEARCH_API_KEY = ""
python scripts/hybrid_scholar.py --query "analytic hierarchy process" --limit 8

诊断单个引擎时可用 --openalex-only--anysearch-only;正式文献检索默认不得只运行一个引擎。

核验规则

  1. 搜索结果只用于发现候选文献。
  2. 引用前打开 DOI 或出版机构页面核对作者、题名、年份、期刊/会议、卷期页。
  3. 不把引用量当作正确性的证明。
  4. 不根据标题或摘要编造不存在的结论。
  5. 输出中保留 sourcescross_validated 状态。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.