Skills/ClawHub/semantic-split

semantic-split@3.1.1

VERIFIED· install only

Publisher claims: "语义拆分与智能规划。将自然语言拆分为结构化需求块,三管线协同调度(正则结构分析→bge 语义匹配→bge-reranker 重排序),5W2H提取与约束标注增强语义理解,双视角推理整合为单一执行步骤,自增强闭环自动沉淀能力级 JSON 模板,10门禁钩子系统管控流程。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher ldxs001 · publishing for 142 daysInstalls 968Last detonated 2d ago
$clawhub install semantic-split
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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 2026-11-12 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/setup_env.py:112 · Python subprocess execution detectedproc = subprocess.Popen(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/setup_env.py:99 · Python subprocess execution detectedr = subprocess.run(cmd.split()[0] if isinstance(cmd, str) else cmd,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈1,349 tok
1 file · 23 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.

semantic-split@3.1.1 safety verdict: Verified (install only) — KillerSkills