Skills/ClawHub/jy-knowlgdge-skill

jy-knowlgdge-skill@1.0.0

VERIFIED· install only

Publisher claims: "智能知识库文件处理与数据集自动生成系统。上传文件后自动评估知识价值，LLM智能分类归档，通过EasyDataset生成微调数据集。使用场景：(1) 用户上传文档需要判断是否值得生成知识数据集，(2) 批量处理DOCX/PDF/Excel/图片文件转为知识库，(3) 从本地知识库搜索答案结合对话回复，(4) 部署和初始化知识库环境，(5) 管理知识库分类体系和数据集。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher somkh · publishing for 107 daysInstalls 490Last detonated 4d ago
$clawhub install jy-knowlgdge-skill
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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 2026-11-10 and scored it 87/100 (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 detectedtools/diagnose.py:28 · Python subprocess execution detectedr = subprocess.run(["docker", "ps", "--format", "{{.Names}}\t{{.Status}}"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtools/diagnose.py:73 · Python subprocess execution detectedr = subprocess.run(["docker", "ps", "--format", "{{.Names}}\t{{.Status}}"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
HIGH
Executable committed in an agent bundlerun.bat: Windows executable or launcher inside what should be instructions and scriptsrun.batFix: Pin versions and sources; vendor anything fetched at install time.
AST06
MEDIUM
Python subprocess execution detectedtools/diagnose.py:197 · Python subprocess execution detectedr = subprocess.run(["docker", "ps", "-a", "--format", "table {{.Names}}\t{{.Status}}\t{{.Ports}}"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtools/check_env.py:65 · Python subprocess execution detectedresult = subprocess.run(cmd, shell=use_shell, capture_output=True, text=True, timeout=10)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈1,922 tok
1 file · 21 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.