dsh-TUI
Reduces context loss and debugging friction during Claude interactions by visualizing token usage, streaming output, and enabling rollback—lowering iteration…
DSH 官方公众号收录的 TUI 补位插件:Claude Code 风,鲸鱼顶栏/实时状态/流式思考/双击 Esc 回滚/上下文进度+TPS。npm 一键装。 DSH official WeChat featured TUI plugin — Claude Code style: whale bar, live status, streaming thoughts, double-Esc rollback, context bar + TPS. npm one-click.
- Ask Claude to generate code while monitoring real-time token usage and context window progress
- Automate code development workflows with instant rollback using double-Esc keystroke
- Generate code with streaming thought process visibility in a Claude-style terminal interface
Reduces context loss and debugging friction during Claude interactions by visualizing token usage, streaming output, and enabling rollback—lowering iteration time on complex coding tasks.
Development teams using Claude for code generation or reasoning-heavy workflows and needing real-time feedback on token consumption and thought process.
https://github.com/ccch1mneyyy/dsh-TUI
By ccch1mneyyy
How to Get It
claude plugins install ccch1mneyyy/dsh-TUI
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Generate code while monitoring real-time token usage and context window progress
Trust Signals Auto-scanned
Community Pulse New
- agent-dash: TUI for managing Claude Code and OpenCode in tmux — Hacker News · 3 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,736 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 1,736 GitHub stars; contributors unknown; last commit 0d ago; license MIT.