Skills/ClawHub/multi-platform-video-director

multi-platform-video-director@1.0.1

VERIFIED· install only

Publisher claims: "多平台生成视频导演技能。将一张或多张参考图片或文字描述转化为可执行的视频方案、平台适配 Prompt、负向 Prompt、分镜设计、运动参数,并在有可用视频生成工具时直接生成视频。适用于:图生视频、文生视频、图片转视频、海报动效、首尾帧视频、产品展示动画、人物照片动态化、节日宣传视频、社交媒体短视频、电影感镜头运动、视频配乐、语气词配音、字幕叠加、多镜头拼接,以及提到 Runway、Kling/可灵、即梦/Jimeng、Higgsfield、Pika、Luma、Hailuo/海螺、Veo 等平台的请求。根据画面内容与用户目标自动选择或排序平台,不强制指定单一提供商。注意:本技能仅处理视频生成,不处理图片生成(用 ImageGen)、3D模型或模板特效(用3D模型与视频特效技能)。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher yeshenyue12345 · publishing for 80 daysInstalls 433Last detonated 6d ago
$clawhub install multi-platform-video-director
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 2026-11-08 and scored it 90/100 (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/probe_video.py:28 · Python subprocess execution detectedr = subprocess.run([ffmpeg, "-i", path], capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/stitch_videos.py:153 · Python subprocess execution detectedr = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/mux_audio.py:28 · Python subprocess execution detectedr = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/stitch_videos.py:36 · Python subprocess execution detectedr = subprocess.run([ffmpeg, "-i", path], capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/add_subtitles.py:148 · Python subprocess execution detectedr = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈2,141 tok
1 file · 12 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.