SKILLEMALL.ai

AD anygen-image

Use this skill any time the user wants to generate, create, or design images, illustrations, or visual assets. This includes: posters, banners, social media graphics, product mockups, logo concepts, thumbnails, marketing creatives, profile pictures, book covers, album art, icon designs, and any request for AI-generated imagery. Also trigger when: user says 生成图片, 做个海报, 画个插图, 设计个banner, 做个封面, 社交媒体配图, 产品效果图. If an image or visual asset needs to be created, use this skill.

ClawHub Agent Skills author: AnyGenIO v3.0.0 MIT-0 2 files body ≈ 186 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 42/100 · Unfinished process — weak spots: steps, result and completion, inputs and preconditions

GeneratorDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
42/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 42/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (anygen-image) differs from the folder (anygen-image-generator)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 186 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 473: enough signal without eating the budget
    • +4Structure: 3 headings
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This image-generation skill is mostly coherent, but it can auto-install an additional unreviewed workflow skill and sends generation work to a remote service.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026