AI Short Film Studio
Analysis
The skill is mostly a disclosed AI video-production workflow, but it needs review because it uses paid API credentials and includes a hardcoded Tencent Cloud storage target for media uploads.
Findings (4)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
25个镜头同时提交(用ThreadPoolExecutor) ... 失败自动重试(平均重试3次)
Batch generation and retries are purpose-aligned for video production, but they can quickly consume paid API quota if run without a clear per-project limit.
/opt/homebrew/bin/ffmpeg -y -stream_loop -1 -i shot.mp4 -t {tts_dur} -c:v libx264 -preset fast seg.mp4The workflow relies on local FFmpeg command execution for media processing. This is central to the stated purpose and is documented, but users should notice that local files may be created or overwritten.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
鉴权:Authorization Header 传API Key(不带Bearer前缀)
The workflow needs a Sucuang API key to act on a paid service account. This is expected for the stated API integration, but it is still sensitive credential access.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
SecretId: AKIDd9FF2hAh9QVegYIrbBZlz42zsgMyXyJU; Bucket: video-1304671784(广州区域 ap-guangzhou) ... client.upload_file(... LocalFilePath="local_file.mp4", Key="remote_path/file.mp4")
The skill documents uploading local media to a specific Tencent Cloud COS identity/bucket, but the artifact does not establish that this storage belongs to the user or define access, visibility, or retention boundaries.
