gh-data@2.2.51
VERIFIED· install onlyPublisher claims: "🧠 自学习量化引擎，每只股票60W+历史信号回测，输出历史匹配率+规律挖掘(5类规律图谱)+17维全量数据+自动生成DOCX报告。独家ETF四象联动资金分析、券商研报观点交叉验证。不只是查数据——给你的信号附上"过去准不准"的答案。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-08 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
>>> config.init("http://192.168.1.100:5099/api") # 代码覆盖URLFix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.No other findings across 6,190 lines in 14 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.