
Minimax Prompt
- 2 installs
- Updated July 14, 2026
- kesslerio/minimax-prompt-openclaw-skill
Runs one-shot LLM prompts and summaries through MiniMax M2.5 via a CLI wrapper that is a drop-in replacement for gemini -p.
About
A skill that runs one-shot LLM prompts, summaries, and generation through MiniMax M2.5 via a CLI wrapper. A developer uses it as a fast, gemini-compatible prompt tool backed by the MiniMax API.
- One-shot LLM prompts via the MiniMax M2.5 Anthropic-compatible API
- CLI wrapper is a drop-in replacement for 'gemini -p'
Minimax Prompt by the numbers
- 2 all-time installs (skills.sh)
- Ranked #13,958 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Jul 25, 2026 (Skillselion catalog sync)
npx skills add https://github.com/kesslerio/minimax-prompt-openclaw-skill --skill minimax-promptAdd your badge
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| Installs | 2 |
|---|---|
| Last updated | July 14, 2026 |
| Repository | kesslerio/minimax-prompt-openclaw-skill ↗ |
What it does
Runs one-shot LLM prompts and summaries through MiniMax M2.5 via a CLI wrapper that is a drop-in replacement for gemini -p.
Files
MiniMax Prompt
Use MiniMax M2.5 for one-shot LLM tasks. Two execution methods available:
CLI Usage (minimax-prompt)
Shell wrapper at ~/.local/bin/minimax-prompt. Drop-in replacement for gemini -p.
# Simple prompt
minimax-prompt "Explain quantum computing in one paragraph"
# With -p flag (gemini-compatible)
minimax-prompt -p "Summarize this text"
# Pipe content + prompt
echo "Raw data here" | minimax-prompt -p "Summarize the above"
# Pipe content only (content becomes the prompt)
echo "What is 2+2?" | minimax-promptTimeout: 180s default. Output: plain text to stdout. Errors go to stderr.
Direct API Usage (from scripts)
For Python/shell scripts that can't depend on the CLI (e.g., Docker containers):
curl -sS https://api.minimax.io/anthropic/v1/messages \
-H "x-api-key: $MINIMAX_CODING_PLAN_API_KEY" \
-H "content-type: application/json" \
-H "anthropic-version: 2023-06-01" \
-d '{
"model": "MiniMax-M2.5",
"max_tokens": 8192,
"messages": [{"role": "user", "content": "Your prompt here"}]
}'Response format (Anthropic Messages API):
{
"content": [{"type": "text", "text": "Response here"}],
"model": "MiniMax-M2.5",
"stop_reason": "end_turn"
}API Endpoints
| Endpoint | Format | Speed |
|---|---|---|
https://api.minimax.io/anthropic/v1/messages | Anthropic Messages | ~2s (preferred) |
https://api.minimax.io/v1/chat/completions | OpenAI Completions | ~6s |
The Anthropic endpoint is 3x faster and separates thinking tags natively.
Model
- MiniMax-M2.5 — Only model available on Coding Plan
- MiniMax-M2.5-lightning is NOT available on Coding Plan
- 204K context window, 131K max output tokens
Setup
Requires MINIMAX_CODING_PLAN_API_KEY environment variable. Set via:
- OpenClaw:
~/.config/systemd/user/secrets.conf(referenced as${MINIMAX_CODING_PLAN_API_KEY}in openclaw.json) - Shell:
export MINIMAX_CODING_PLAN_API_KEY="your-key" - Docker:
-e MINIMAX_CODING_PLAN_API_KEY
Notes
- Coding Plan is a subscription — API calls are included, no per-token billing
- Replaces the retired
geminiskill (Gemini CLI banned, Feb 2026) - For structured agent turns, prefer
openclaw agent --localinstead - Stateless — no state files or caching needed