Edge Copy setup link
Skill evidence / serper-scholar
Skill profile

serper-scholar

使用 Google Scholar API 进行学术搜索,查找论文、研究报告、学术文献,获取引用信息、作者、发表刊物等详细信息。.

What this skill does for you

使用 Google Scholar API 进行学术搜索,查找论文、研究报告、学术文献,获取引用信息、作者、发表刊物等详细信息。

Quoted from the skill description in the pinned source

Who made it

Publisherfanzhidongyzby
Repositoryopenclaw-serper
Installs319as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the serper-scholar skill from fanzhidongyzby/openclaw-serper.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 9b2411287c8cc8c44874265582c752e1978d7073. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 9b2411287c8cc8c44874265582c752e1978d7073. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 9b2411287c8cc8c44874265582c752e1978d7073. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/fanzhidongyzby/openclaw-serper
Pinned skill file
View source at revision
Revision
9b2411287c8cc8c44874265582c752e1978d7073
Package hash
sha256:2af7ceec269e093598add241b1fda9946f9c8548cf4f39af6527058a9dd60014
Licence
MIT