Skills

Deepseek

Use DeepSeek's chat API: list models, run chat completions, check account balance.

Install

npx skills add Anil-matcha/awesome-muse-connectors --skill deepseek -g -a claude-code -y
Category
Engineering
Updated
22d ago
License
MIT
Context cost
Lightabout 960 tokens
Runs scripts
Yes, review before use

What it does

Use DeepSeek's chat API: list models, run chat completions, check account balance. Trigger phrases: deepseek, deepseek chat, deepseek api.

DeepSeek

Purpose

Call the DeepSeek API from Muse: list the currently available models, run OpenAI-compatible chat completions (with thinking mode and sampling controls), and check the account balance. Reach for this when the user wants an answer from a DeepSeek model or wants to inspect their DeepSeek account.

Tooling

All commands go through bin/deepseek.py:

bin/deepseek.py auth                                              # verify the API key
bin/deepseek.py models                                            # list available models
bin/deepseek.py chat --message "Explain recursion in one sentence" \
    --model deepseek-flash                                        # chat completion (SPENDS)
bin/deepseek.py chat --message "Solve: 2x+5=17" \
    --model deepseek-v4-pro --system "Show your work." \
    --temperature 0.2 --max-tokens 500                             # with options
bin/deepseek.py balance                                           # account balance

The chat command prints the reply plus token usage and a cost note. Thinking-mode models also return reasoning_content when the API provides it.

Auth

  • Provider id: deepseek (credential is collected as custom.deepseek)
  • Collection: API key (platform.deepseek.com > API keys) via the secure credential flow (credentials.request_api_access)
  • Auth scheme: Authorization: Bearer <api key> on every request
  • Allowed hosts: api.deepseek.com
  • Status check: bin/deepseek.py auth
Read the whole SKILL.md on GitHub

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