Hilight Video Generate
Analysis
This is a coherent video-generation MCP skill, but it uses a video-service API key, a local MCP gateway, and curl-based downloads, so users should verify the provider and protect the key.
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.
使用 `exec curl` 下载到本地 ... `exec curl -L -o ~/Downloads/video_task_abc123.mp4 "VIDEO_DOWNLOAD_URL"`
The skill instructs the agent to run local shell commands for downloading and checking the generated video file. This is purpose-aligned and user-triggered, but still writes a remote file locally.
- **安全保证**: `.env` 不会被提交到版本控制(gitignore 排除)
The skill makes a safety assurance about .env exclusion. The provided file set does not show a .gitignore, so users should verify this protection rather than relying only on the claim.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
"key": "VIDEO_API_KEY", "label": "视频生成平台 API Key(Bearer Token)", "secret": true, "writeEnvFile": ".env"
The setup asks for a bearer-token style credential and stores it in an environment file. This is expected for a video-generation API, but it grants account/API access.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
本技能依赖 mcporter 连接本地 MCP server(`http://localhost:10620/mcp`)... 具体工具名和参数以 MCP server 实际暴露为准。
The skill routes actions through a local MCP gateway and says actual tools depend on what that server exposes, so users should confirm the MCP server is the expected trusted one.
