SKILL.md Raw

DeepNexus models

Requires DEEPNEXUS_API_KEY in the environment. If the DeepNexus MCP server is connected, prefer its chat tool; otherwise call the HTTP API.

Pick a model

Need	Model
Cheapest fast work: summaries, extraction, translation, classification	`deepseek-v4.1-flash`, `glm-5.3-flash`
Hard reasoning, code review, second opinion	`deepseek-v4-pro`, `kimi-k3`, `glm-5.3`
Images	`mimo-v2.6-pro`
Unsure	`auto`

List all models and prices: GET $DEEPNEXUS_BASE_URL/models (default base http://localhost:3000/v1).

Call

curl -s "${DEEPNEXUS_BASE_URL:-http://localhost:3000/v1}/chat/completions" \
  -H "Authorization: Bearer $DEEPNEXUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg p "$PROMPT" '{model:"deepseek-v4-pro",messages:[{role:"user",content:$p}],max_tokens:2000}')" \
  | jq -r '.choices[0].message.content'

Patterns

Second opinion: send the problem and your proposed answer, ask the other model to find mistakes only. Report agreements and disagreements; do not silently replace your answer.
Fan-out: split large inputs into chunks, process each with a flash model, then merge the results yourself.
Budget: check GET /balance before large batches and tell the user the estimated cost (tokens × price per 1M from /models).

Never send secrets, credentials or private user data to another model unless the user has agreed.

DeepNexus Models

DeepNexus models

Pick a model

Call

Patterns