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Skill evidence / quant-factor-screener
Skill profile

quant-factor-screener

使用正式因子模型进行系统化多因子A股筛选,识别具有有利因子暴露的个股。当用户询问因子投资、多因子筛选、价值/动量/质量因子分析、因子打分、因子择时、Smart...

What this skill does for you

使用正式因子模型进行系统化多因子A股筛选,识别具有有利因子暴露的个股。当用户询问因子投资、多因子筛选、价值/动量/质量因子分析、因子打分、因子择时、Smart Beta策略、量化选股或基于学术因子的系统化选股时使用此技能。

Quoted from the skill description in the pinned source

Who made it

Publishergeeksfino
Repositoryfinskills
Installs354as 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 quant-factor-screener skill from geeksfino/finskills.

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: 8722415a68db3250516a8c6f9632da29c1554bf1. 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: 8722415a68db3250516a8c6f9632da29c1554bf1. Raw findings: . 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: 8722415a68db3250516a8c6f9632da29c1554bf1. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/geeksfino/finskills
Pinned skill file
View source at revision
Revision
8722415a68db3250516a8c6f9632da29c1554bf1
Package hash
sha256:63de6c24968c9d1fb73fedd79c9b92eec7620c6ea89777e99badc3bdc9e9583e
Licence
Apache-2.0