Skills/ClawHub/fxbaogao-deep-research

fxbaogao-deep-research@1.0.0

VERIFIED· install only

Publisher claims: "围绕行业、公司或主题做深度研究。采用"先想后搜"方法:先明确研究边界,用 MECE 原则拆解关键子问题,再基于发现报告接口定向搜索、筛选核心研报、精读后沉淀事实、对比推导,最终形成结构化结论。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher quickzhang · publishing for 121 daysInstalls 523Last detonated 3d ago
$clawhub install fxbaogao-deep-research
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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 2026-11-11 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 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 941 lines in 14 files.

Cost to the agent

Instructions loaded
≈474 tok
1 file · 14 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.