Skills/ClawHub/lgd-fin-guard

lgd-fin-guard@1.0.11

VERIFIED

Publisher claims: "Screen a financial AI system against the three laws of registered, evidenced and gated before it goes live, so licensed advisory, risk-control and anti-money-laundering use cases hold up. lgd-fin-guard — 把 LGD 三律（有籍·有证·有门禁）翻译进金融 / 持牌机构 AI 应用（投顾·风控·反洗钱）的合规守门器，对 AI 系统做三律自评与门禁判定（零依赖）。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher zhaoxinghua09-cell · joined 10 days agoInstalls 528Last detonated 1 h ago
$clawhub install lgd-fin-guard
WatchReport an issue

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-06 and scored it 90/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

No findings across 408 lines in 8 files.

Cost to the agent

Instructions loaded
≈1,773 tok
2 files · 8 in bundle

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.