AD minimax-image
MiniMax 图片生成技能。集成文生图和图生图功能，支持从文本描述生成图片，也可基于参考图生成新图片。触发场景：(1) 用户请求生成图片，(2) 用户提供描述并要求生成图片，(3) 用户上传参考图并要求基于该图生成新图，(4) 用户想要生成指定风格的图片。支持的风格：漫画、元气、中世纪、水彩（仅 image-01-live）。支持的宽高比：1:1、16:9、4:3、3:2、2:3、3:4、9:16、21:9。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (minimax-image) differs from the folder (turbos7-minimax-image)
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Execution cost. Instruction body is 790 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 207: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: clean
This appears to be a normal MiniMax image-generation skill that sends prompts or chosen reference images to MiniMax and saves generated images locally.
LLM: benign (medium) · VirusTotal: · 29 May 2026