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dsclaude

Skill Setup & Config Poor
Works inClaude Code
Poor Scanned — metadata only

Enables teams to leverage multiple LLM backends through a unified Anthropic-compatible interface, reducing vendor lock-in and optimizing costs across Chinese…

Claude Code & Desktop launchers for 11+ third-party LLM backends (DeepSeek, Qwen, Kimi, GLM, MiniMax, Doubao, LongCat, TokenHub, SiliconFlow, MiMo) via Anthropic-compatible API — plus Codex setup, vision tools, and MCP server.

56 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Enables teams to leverage multiple LLM backends through a unified Anthropic-compatible interface, reducing vendor lock-in and optimizing costs across Chinese and international model providers.

Engineering teams and consultants standardizing multi-model inference without rewriting integration code.

Claude Code Claude Cowork Claude Chat

https://github.com/Agents365-ai/dsclaude

By Agents365-ai

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 Agents365-ai/dsclaude

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:

Help me launch Claude with DeepSeek or Qwen backends without switching API providers manually
CostFree

Trust Signals Auto-scanned

Stars56Last updated2026-07-31Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-31 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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