Skills/ClawHub/unified-research-finder

unified-research-finder@1.1.1

VERIFIED· install only

Publisher claims: "统一的学术文献检索助手。覆盖两大体系:(1) PubMed 官方 E-utilities API(esearch+efetch,真实 PMID/摘要/DOI)与 PubMed 网页检索;(2) Google Scholar 及其镜像站——灯塔学术搜索、烂番薯学术搜索、Google Scholar 香港镜像、Google Scholar 官方站,以及 KipHub学术、学术搜索Pro 等大陆镜像,按「kiphub → 烂番薯 → 学术搜索Pro → 灯塔 → 香港 → 官方」优先级自动回退。当用户要找文献、查论文、搜 PubMed、查 Google 学术/谷歌学术、用学术镜像站、要影响因子或引用" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher georgechou17 · publishing for 113 daysInstalls 1,121Last detonated 4d ago
$clawhub install unified-research-finder
WatchReport an issue

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 2026-11-10 and scored it 91/100 (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

MEDIUM
Python subprocess execution detectedscripts/unified_search.py:69 · Python subprocess execution detectedproc = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

No other findings across 1,853 lines in 10 files.

Cost to the agent

Instructions loaded
≈1,597 tok
1 file · 10 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.