Skills/ClawHub/ai-content-labeling

ai-content-labeling@1.0.0

CAUTION· static only

Publisher claims: "AI 生成合成内容标识合规实操手册——聚焦中国《人工智能生成合成内容标识办法》（2025-09-01 强制，显式+隐式双标识）与欧盟 AI Act 第 50 条透明度义务（2026-08-02 强制，机器可读标记/深度伪造标识/聊天机器人披露），覆盖文本/图片/音频/视频/虚拟场景各类内容的标识做法、隐式标识元数据与水印技术方案、传播平台核验义务、应用上架审核、常见违规风险与整改清单，附零依赖本地工具一键生成标识合规检查清单、判定"该不该标"与元数据字段模板。面向内容运营、产品、合规与法务负责人。" Observed in sandbox: static analysis only — behavior not yet observed.

Registry ClawHubPublisher zhaoxinghua09-cell · publishing for 81 daysInstalls 398Last detonated 6d ago
What would fix thisWatchDispute verdict

Coverage

Static only; nothing was run yet.

The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-08 and scored it 68/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.

Static findings

MEDIUM
Python subprocess execution detectedverify/content_label_quality_test.py:65 · Python subprocess execution detectedr4 = subprocess.run([PYTHON, TOOL, "compare"], capture_output=True, text=True, timeout=60)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedverify/content_label_quality_test.py:68 · Python subprocess execution detectedr5 = subprocess.run([PYTHON, TOOL, "audit"], capture_output=True, text=True, timeout=60)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedverify/content_label_quality_test.py:62 · Python subprocess execution detectedr3 = subprocess.run([PYTHON, TOOL, "metadata", "--type", "image"], capture_output=True, text=True, timeout=60)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedverify/content_label_quality_test.py:60 · Python subprocess execution detectedr2 = subprocess.run([PYTHON, TOOL, "checklist", "--scene", "video"], capture_output=True, text=True, timeout=60)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedverify/content_label_quality_test.py:56 · Python subprocess execution detectedr = subprocess.run([PYTHON, TOOL, "must", "--content", "用AI生成的产品宣传图片，发到公众号"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈971 tok
1 file · 18 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.

What would make this Verified

12 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim zhaoxinghua09-cell: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
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