SKILLEMALL.ai

AC minimax-imagegen

Expert image generation skill using MiniMax image-01. Use this skill ANY TIME the user asks to create, generate, make, or produce an image, visual, graphic, banner, illustration, icon, screenshot mockup, hero image, thumbnail, social media asset, app icon, website visual, or any other image — even if they just say "make me a picture of X." This skill should also trigger when the user asks to improve or iterate on a previous image prompt, or when image output would enhance a task (e.g., "I need a hero image for my blog post"). Covers all use cases: website assets for tonyreviewsthings.com and tonysimons.dev, app/software media, marketing visuals, social media content, UI mockups, character/portrait generation, and general creative requests.

ClawHub Agent Skills author: Tony Simons v1.0.1 MIT-0 3 files · 1 script body ≈ 1 519 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Expert image generation skill using MiniMax image-01.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches

GeneratorAI and agentsDesignMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "gates"

    Process rating: all ten parameters 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 37 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1519 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 749: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 37 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This image-generation skill mostly matches its stated purpose, but it deserves review because its helper script can write generated files to caller-chosen paths without containment or overwrite protection.
    LLM: suspicious (high) · VirusTotal: · 14 Sept 2026