AGENT SKILLS ATLASMinimax
MiniMax M-series production wiring patterns for the OpenAI-compatible API at api.minimax.io. Use when wiring MiniMax-M2.7 / MiniMax-M2.7-highspeed / Hailuo into a service (Karakeep tagging, Linkwarden summarization, RAG, agentic workflows, quant trade signals), debugging silent-dropped OpenAI parameters, configuring prompt caching (cachecontrol), handling rate limits via baseresp.statuscode (no HTTP 429), choosing between plain M2.7 and -highspeed models, defending against the model's documented hallucination + saturation failure modes, or detecting model upgrades. Distilled from a 41-iteration M2.7-highspeed exploration campaign (40 verified pattern docs). TRIGGERS - MiniMax, MiniMax-M2.7, MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2, M-series reasoning model, api.minimax.io, OPENAIBASEURL minimax, OpenAI-compatible Chinese LLM provider, Chinese LLM API, Hailuo, hailuo.ai, MiniMax Hailuo, MiniMax embeddings, embo-01, MiniMax TTS, t2av2, speech-01-turbo, MiniMax video, video-01, videogeneration, MiniMax tools, MiniMax function calling, MiniMax JSON mode, responseformat silently dropped, stop parameter silently dropped, toolchoice silently dropped, imageurl silently dropped, name field silently dropped, MiniMax cachecontrol, prompttokensdetails cachedtokens, cachecreationinputtokens, cachereadinputtokens, baseresp statuscode, statuscode 1002, statuscode 1004, statuscode 2013, statuscode 2061, RPM rate limit, MiniMax billing chatcompletion-v2, plus quant-LLM use cases — trade signal JSON, financial agentic stack, Tier F primitives, M2.7 saturation, M2.7 hallucination, Black-Scholes saturation, backtesting.py code generation hallucinated imports.
Skill stats
Skills1CategoryContent & writingStars0
About this skill
MiniMax M-series production wiring patterns for the OpenAI-compatible API at api.minimax.io. Use when wiring MiniMax-M2.7 / MiniMax-M2.7-highspeed / Hailuo into a service (Karakeep tagging, Linkwarden summarization, RAG, agentic workflows, quant trade signals), debugging silent-dropped OpenAI parameters, configuring prompt caching (cachecontrol), handling rate limits via baseresp.statuscode (no HTTP 429), choosing between plain M2.7 and -highspeed models, defending against the model's documented hallucination + saturation failure modes, or detecting model upgrades. Distilled from a 41-iteration M2.7-highspeed exploration campaign (40 verified pattern docs). TRIGGERS - MiniMax, MiniMax-M2.7, MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2, M-series reasoning model, api.minimax.io, OPENAIBASEURL minimax, OpenAI-compatible Chinese LLM provider, Chinese LLM API, Hailuo, hailuo.ai, MiniMax Hailuo, MiniMax embeddings, embo-01, MiniMax TTS, t2av2, speech-01-turbo, MiniMax video, video-01, videogeneration, MiniMax tools, MiniMax function calling, MiniMax JSON mode, responseformat silently dropped, stop parameter silently dropped, toolchoice silently dropped, imageurl silently dropped, name field silently dropped, MiniMax cachecontrol, prompttokensdetails cachedtokens, cachecreationinputtokens, cachereadinputtokens, baseresp statuscode, statuscode 1002, statuscode 1004, statuscode 2013, statuscode 2061, RPM rate limit, MiniMax billing chatcompletion-v2, plus quant-LLM use cases — trade signal JSON, financial agentic stack, Tier F primitives, M2.7 saturation, M2.7 hallucination, Black-Scholes saturation, backtesting.py code generation hallucinated imports.
Quick start
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Review, license & listing details
Review the source before using this skillThis is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Automated security scan: PartialOnly SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 2d23976da163b7d5f14d37fbb6cf2e1f3dda3c46e93386d58c73c31aa4214f6b
About scan coverage and limitations Original listing metadata
Original name
minimaxOriginal description
MiniMax M-series production wiring patterns for the OpenAI-compatible API at api.minimax.io. Use when wiring MiniMax-M2.7 / MiniMax-M2.7-highspeed / Hailuo into a service (Karakeep tagging, Linkwarden summarization, RAG, agentic workflows, quant trade signals), debugging silent-dropped OpenAI parameters, configuring prompt caching (cache_control), handling rate limits via base_resp.status_code (no HTTP 429), choosing between plain M2.7 and -highspeed models, defending against the model's documented hallucination + saturation failure modes, or detecting model upgrades. Distilled from a 41-iteration M2.7-highspeed exploration campaign (40 verified pattern docs). TRIGGERS - MiniMax, MiniMax-M2.7, MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2, M-series reasoning model, api.minimax.io, OPENAI_BASE_URL minimax, OpenAI-compatible Chinese LLM provider, Chinese LLM API, Hailuo, hailuo.ai, MiniMax Hailuo, MiniMax embeddings, embo-01, MiniMax TTS, t2a_v2, speech-01-turbo, MiniMax video, video-01, video_generation, MiniMax tools, MiniMax function calling, MiniMax JSON mode, response_format silently dropped, stop parameter silently dropped, tool_choice silently dropped, image_url silently dropped, name field silently dropped, MiniMax cache_control, prompt_tokens_details cached_tokens, cache_creation_input_tokens, cache_read_input_tokens, base_resp status_code, status_code 1002, status_code 1004, status_code 2013, status_code 2061, RPM rate limit, MiniMax billing chatcompletion-v2, plus quant-LLM use cases — trade signal JSON, financial agentic stack, Tier F primitives, M2.7 saturation, M2.7 hallucination, Black-Scholes saturation, backtesting.py code generation hallucinated imports.
About this listing
- Category
- Content & writing
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI