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dsh-TUI

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

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.

1,736 starsMIT (commercial OK)FreeQuick setup

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.

Claude Code Claude Cowork Claude Chat

https://github.com/ccch1mneyyy/dsh-TUI

By ccch1mneyyy

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
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.

First thing to try

After installing, paste this into Claude:

Generate code while monitoring real-time token usage and context window progress
CostFree

Trust Signals Auto-scanned

Stars1,736Last updated2026-08-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Community Pulse New

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

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 1,736 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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