Vision bridge for text-only models: paste an image, get structured JSON evidence (OCR, layout, semantics).
- GitHub stars
- 3,445
- License
- MIT
- Added
- 2026-08-14
GitHub info
- GitHub stars
- 3,445
- License
- MIT
- Primary language
- TypeScript
- Last push
- Aug 20, 2026, 8:05 PM
- Maintainer
- liustack
- Added
- 2026-08-14
Preview from README
Screenshots and GIFs extracted from the repository README (badges and avatars filtered out).
The skill triggering on its own in a DeepSeek Claude Code session and reading a pasted slide
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-claude-paste-recovery.jpg
Text-only DeepSeek reading a tweet screenshot in full detail via ModLens
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-codex-app.jpg
Three images dropped together, read one by one
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-codex-batch.jpg
The 128-model scatter plot read in full: axes, log scale, and highlighted region
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-codex-chart.jpg
Pasting an image straight into DeepSeek Harness, read through the modlens vision plugin
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-dsh-paste.jpg
The ModLens vision-engine card in the dsh settings page, shown in Chinese: switch the engine, tick which local CLIs auto mode reuses
https://raw.githubusercontent.com/liustack/modlens/main/assets/demo-dsh-settings-card.jpg
Install
dsh plugin --profile web add @liustack/modlensTags
README badge
Add this Markdown to your plugin README to link back to its listing.
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