SKILLEMALL.ai

AB codia-design-skills

Create, edit, enhance, convert, and manage images, design resources, and visual assets with Codia Design Skills and the Codia Open API. Use when the user asks to generate images, posters, campaign creatives, product listing images, ecommerce assets, banners, thumbnails, or social variants; edit images by removing backgrounds, replacing backgrounds, erasing objects, removing authorized watermarks, upscaling, reframing, remixing, or using reference images; convert screenshots, UI mockups, images, PDFs, reports, or documents into editable design data, layers, PPTX slides, or SVG/vector assets; inspect or describe images; or manage Codia CLI setup, authentication, credits, usage, limits, and auto recharge.

ClawHub Agent Skills author: Codia AI v0.1.4 MIT-0 28 files body ≈ 1 545 tokens Open the sourceclawhub.ai analyzed 2 d ago

Create, edit, enhance, convert, and manage images, design resources, and visual assets with Codia Design Skills and the Codia Open API.

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions

GeneratorPowerPointData and analyticsMarketingDesigntype 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
B
68/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
50
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: 6. 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 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) 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. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1545 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +2Single-language instructions
    • +3Description length 711: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)
    • +1License stated

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

    External checks

    ClawHub: suspicious
    The skill pack is coherent, but it can change billing-related auto-recharge settings and transmit user files to Codia APIs without consistently requiring explicit confirmation.
    LLM: suspicious (high) · 26 Jul 2026