Byted Mediakit Image
面向单张或批量图片的视觉处理、质量优化、内容理解与基础编辑目标,适用于图片尺寸缩放与体积治理、元信息探测、裁剪旋转翻转与圆角、颜色与锐化清晰度调整、负片、模糊与打码、水印、背景移除、文字识别、画质评估与智...
Works in any agent
2 static scans, 0 counted findings.
Recorded for this package revision; Edge checks the exact bundle again when your agent loads it.
What this skill does for you
面向单张或批量图片的视觉处理、质量优化、内容理解与基础编辑目标,适用于图片尺寸缩放与体积治理、元信息探测、裁剪旋转翻转与圆角、颜色与锐化清晰度调整、负片、模糊与打码、水印、背景移除、文字识别、画质评估与智能裁剪等。若对象和目标族已明确属于图片优化、图片理解或图片隐私保护,但具体做法不确定,可先加载本 Skill 探索。
Quoted from the skill description in the pinned sourceUse it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the byted-mediakit-image skill from volcengine/mediakit-cli.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-29 | Pass | 0 |
| Edge committed-secret checks | 2026-09-29 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.0. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 120059a6c4a089fb580edd24d8ecf93d687e3c96. Raw findings: not supplied. Counted findings: .
Edge committed-secret checks (Edge-run): edge-secrets/1.0.0. Scope: Credentials committed in the skill's files (values never shown). Revision: 120059a6c4a089fb580edd24d8ecf93d687e3c96. Raw findings: not supplied. Counted findings: .
Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Source and licence
- Repository
- https://github.com/volcengine/mediakit-cli
- Pinned skill file
- View source at revision
- Revision
- 120059a6c4a089fb580edd24d8ecf93d687e3c96
- Package hash
- sha256:930d92a2b13856061394a050d58047cc71d4ef114943a6e92b11bf365b3b94e1
- Licence
- MIT
Files in the scanned package
Try Byted Mediakit Image in your agent.
面向单张或批量图片的视觉处理、质量优化、内容理解与基础编辑目标,适用于图片尺寸缩放与体积治理、元信息探测、裁剪旋转翻转与圆角、颜色与锐化清晰度调整、负片、模糊与打码、水印、背景移除、文字识别、画质评估与智...