Image Watermark / 批量图片水印

Purpose / 用途

中文

批量读取图片并添加 Logo、文字水印或版权信息，默认不覆盖源文件。

English

Batch-add logo or text watermarks to image folders without overwriting source files.

Status / 状态

• Workflow status: 🟢 Verified Workflow / 已验证工作流
• Implementation: ✅ Tested reference implementation / 已测试参考实现
• Audit grade: A
• Quality score: 5.0/5
• Automation level: L2
• Category: Content & Media / 内容创作与媒体

Workflow status describes how well the workflow itself is understood. Implementation status separately tells you whether this repository ships runnable code for it. Integration skills still require external services or authorization; experimental skills may need more human review.

Search aliases / 搜索关键词

image-watermark · Image Watermark · 批量图片水印 · batch watermark · add watermark to images · photo watermark · image batch processing · 图片批量加水印 · 图片加logo · AI content automation · content automation · video automation · social media automation · 内容自动化

When to use / 何时使用

Use this skill when the user explicitly requests image watermark, or when the requested outcome clearly matches this workflow.

Do not activate it merely because the topic is related. Confirm the input, desired output, and any consequential external action.

Inputs / 输入

• Image file(s)
• Output format, dimensions, or style constraints

Outputs / 输出

• Processed image copies
• Processing manifest / error report

Core stack / 核心工具

ImageMagick / Pillow

Permissions / 权限

• filesystem:read
• filesystem:write

Treat permissions as capabilities to request or verify, not as permissions automatically granted by installing the skill.

Workflow / 工作流

1. Discover input images
2. Validate source formats and preserve source hashes
3. Load watermark and calculate relative scale/position
4. Render copies with Pillow/ImageMagick-compatible logic
5. Write output manifest
6. Verify output count and dimensions

Dependency suggestions / 依赖建议

• macOS: brew install imagemagick
• Ubuntu/Debian: sudo apt-get install -y imagemagick

The Agent Skill itself should remain installable even when optional runtimes are absent. Report missing runtime dependencies instead of silently installing privileged software.

Runnable reference / 可运行参考实现

This skill ships a tested reference runtime in scripts/run.py. From a cloned repository:

ows doctor image-watermark
ows run image-watermark -- --help
ows test image-watermark

runtime.json declares the entrypoint and optional system commands. Runtime dependencies are checked separately from installing the Skill definition.

Install / 安装

Inspect before installing

npx skills add BryceYuuu/open-workflow-skills --list

Install this skill into the current project

npx skills add BryceYuuu/open-workflow-skills --skill image-watermark

Install for a specific supported agent

npx skills add BryceYuuu/open-workflow-skills --skill image-watermark --agent codex

npx skills is a community ecosystem CLI, not an OpenAI-official installer. Review third-party skills and scripts before granting shell, filesystem, network, or credential access.

Example invocation / 调用示例

中文

使用 image-watermark 工作流处理我提供的输入。先检查依赖和权限，不覆盖源文件；执行后给我输出路径、验证结果和需要人工审核的部分。

English

Use the image-watermark workflow for the provided input. Check dependencies and permissions first, preserve the source, validate the result, and report outputs plus any human-review items.

Validation / 验证

At minimum:

• Verify all expected outputs exist and are readable.
• Verify the source was not unintentionally overwritten.
• Verify structured outputs against their expected schema or invariants.
• Record warnings, skipped steps, external dependencies, and failed checks.
• Never mark the workflow successful solely because a model produced text.

See references/QUALITY.md for skill-specific quality expectations.

Safety / 安全

• Do not invent source facts or claim an external action succeeded without verification.
• Preserve source files unless the user explicitly requests in-place modification.
• Surface missing dependencies, permissions, credentials, and failed checks clearly.

Failure handling / 失败处理

If a dependency, credential, connected service, browser session, file, or required permission is unavailable:

1. Stop the affected step.
2. Preserve completed safe outputs.
3. State exactly what is missing.
4. Do not fabricate a successful result.
5. Suggest the minimum next action needed to continue.

Files / 文件

• SKILL.md — workflow instructions
• references/QUALITY.md — quality/evaluation guidance
• tests/cases.yaml — example evaluation cases
• runtime.json — runtime manifest
• scripts/run.py — runnable reference implementation
• tests/smoke.py — deterministic smoke test