dsh-media-skills¶
⭐ 19 · ✅ 活跃 · 技能
| 类型 | 技能 | 分类 | 学习 |
| 星数 | ⭐ 19 | 状态 | ✅ 活跃 |
| 作者 | MJorgin | 更新时间 | — |
一句话介绍¶
Free image reading & generation for DeepSeek Harness (rc.7 / rc.8 / v0.1.1-rc.1 / rc.2) — paste-image reading with auto vision transcription, DeepSeek-V4-Flash-Vision-Exp / GLM-4V-Flash / SenseNova / Gemini failover, Kolors + U1 Fast generation. No keys in repo.
详细介绍¶
DeepSeek Harness is brilliant at reasoning — but a text-only model can't see the image you just dragged into the chat. This bundle fixes that with two free skills, a free vision model route, and a vision engine failover chain: - 📎 Paste to read — paste, drag, or pick an image in any session; the free vision model turns it into text your current model understands. (Powered by the DeepSeek Harness core auto-description path — see docs/HARNESS_PATCH_EN.md; this bundle contributes the vision model route and the skill it relies on.) - 👁️ vision-review — analyze images and screenshots, catch UI visual bugs, detect watermarks, turn images into text. - 🎨 media-tools — generate illustrations, avatars, backgrounds and banners with a free, wat
✨ 核心特性¶
- 📎 Paste to read — paste, drag, or pick an image in any session; the free vision model turns it into text your current model understands. *(Powered by the De
- 👁️
vision-review— analyze images and screenshots, catch UI visual bugs, detect watermarks, turn images into text. - 🎨
media-tools— generate illustrations, avatars, backgrounds and banners with a free, watermark-free model. - 🔀 Engine failover — GLM-4V-Flash (free) → DeepSeek-V4-Flash-Vision-Exp (same key as your agent, higher quality) → SiliconFlow Qwen3-VL → SenseNova → Goo
📦 安装¶
dsh plugin --profile <name> add github:MJorgin/dsh-media-skills
🚀 快速开始¶
# ~/.dsh/.credentials.yaml (chmod 600)
GLM_API_KEY: <your key>
📚 更多信息¶
⚡ Quick start
dsh plugin --profile DEEPSEEK_API_KEY (DeepSeek-V4-Flash-Vision-Exp). - rc.7 / rc.8 (or to add the free engines): Zhipu — open.bigmodel.cn → API Keys (glm-4v-flash is free); SiliconFlow — [siliconflow.c
🚀 Usage
Three ways to read images: Descriptions follow your message language (Chinese message → Chinese description; English message → English description; no text → Chinese). Also just say:
❓ FAQ
Does paste-image reading require a DeepSeek Harness core patch? The auto-describe pipeline lives in the Harness core (api-proxy image-admission logic; see docs/HARNESS_PATCH_EN.md). This bundle ships the model route + skills: the vision model works on any DSH build, but paste-image reading requires a Harness build with that core support — see FAQ Q1 in [do
🎁 Examples
Sample material to try instantly — 6 AI-generated images with their prompts, plus a purpose-built vision test card (title, buttons, bar-chart values) for checking reading accuracy: → examples/README.md