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WaveSpeedAI Watermark Remover

作者 C · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
517
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install wavespeed-watermark-remover
功能描述
Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preservin...
安全使用建议
This skill appears to do what it says (call a WaveSpeed API to remove watermarks), but the package metadata is incomplete: SKILL.md requires WAVESPEED_API_KEY and a 'wavespeed' client library while the registry entry lists no env vars or dependencies. Before installing, ask the publisher for: (1) a homepage or source repo to verify provenance; (2) explicit dependency/install instructions for the 'wavespeed' SDK; and (3) updated metadata declaring WAVESPEED_API_KEY as a required credential. Only provide an API key you trust to this third-party service and avoid hardcoding it — use a secret manager or per-project key. Test with non-sensitive media first, review the network endpoints the client uses, and consider legal/ethical implications of removing watermarks on copyrighted content.
功能分析
Type: OpenClaw Skill Name: wavespeed-watermark-remover Version: 1.0.0 The skill is classified as suspicious due to the explicit warnings in the `SKILL.md` file's 'Security Constraints' section regarding 'No arbitrary URL loading' and 'Input validation' for media URLs. This indicates a significant vulnerability risk where the AI agent could be coerced into fetching content from untrusted or internal URLs (SSRF) or potentially local files (via `wavespeed.upload` if paths are user-controlled) if it does not rigorously validate user-provided inputs. While the skill's stated purpose is benign, it exposes a capability that, if misused by the agent, could lead to security compromises.
能力评估
Purpose & Capability
The name and description match the SKILL.md instructions: it calls out image/video watermark removal via a WaveSpeed AI service. However the skill metadata declares no required environment variables or dependencies while the instructions explicitly require a WAVESPEED_API_KEY and import a 'wavespeed' client library — this mismatch suggests the registry metadata is incomplete.
Instruction Scope
The SKILL.md directs the agent to upload local media files and call a remote 'wavespeed' service using an API key. It does not instruct reading unrelated system files, but it does reference a local file upload flow and an environment variable (WAVESPEED_API_KEY) that are not declared in the registry metadata. The instructions also accept arbitrary URLs (with a security note advising against untrusted URLs) — the agent will need to access local files and external network endpoints, which is expected for this functionality but should be explicit in metadata.
Install Mechanism
There is no install spec (instruction-only), which is low risk. However the SKILL.md example imports a 'wavespeed' JS package and uses a Client API, but the skill does not declare that dependency or provide installation instructions. That omission is an inconsistency: the runtime will need that client library available but the skill gives no guidance on obtaining it.
Credentials
The SKILL.md requires a WAVESPEED_API_KEY for authentication (and shows how to export it), but the registry metadata lists no required environment variables or primary credential. Requesting one service API key is proportionate to the stated purpose, but the missing declaration in metadata is a meaningful discrepancy. There are no other unrelated credentials requested.
Persistence & Privilege
The skill does not request persistent presence (always is false), does not modify other skills or system config, and does not declare privileged config paths. Autonomous invocation is allowed (default) but is not combined with other alarming privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wavespeed-watermark-remover
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wavespeed-watermark-remover 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
WaveSpeedAI Watermark Remover 1.0.0 – Initial Release - Supports removing watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. - Preserves original texture and background with intelligent detection. - Video watermark remover uses temporal-aware inpainting to prevent flickering, for videos up to 10 minutes. - Provides simple API usage examples for both images and videos, plus advanced client options and error handling. - Transparent pricing: $0.012 per image, $0.01 per video second (min $0.05). - Lists security best practices, including proper API key handling and media input validation.
元数据
Slug wavespeed-watermark-remover
版本 1.0.0
许可证
累计安装 2
当前安装数 2
历史版本数 1
常见问题

WaveSpeedAI Watermark Remover 是什么?

Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preservin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 517 次。

如何安装 WaveSpeedAI Watermark Remover?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wavespeed-watermark-remover」即可一键安装,无需额外配置。

WaveSpeedAI Watermark Remover 是免费的吗?

是的,WaveSpeedAI Watermark Remover 完全免费(开源免费),可自由下载、安装和使用。

WaveSpeedAI Watermark Remover 支持哪些平台?

WaveSpeedAI Watermark Remover 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 WaveSpeedAI Watermark Remover?

由 C(@chengzeyi)开发并维护,当前版本 v1.0.0。

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