SKILLEMALL.ai

AB gpt-image-2-5-production-studio

Turn image briefs into production-ready GPT Image 2.5 Studio jobs with exact-text manifests, reference-image role contracts, ratio and resolution choices, controlled edit rounds, and visual QA. Use for posters, packaging, ecommerce images, UI mockups, storyboards, localized creatives, or precise image edits in the GPTImage-2-5.com web Studio; do not use for generic prompt lists or undocumented API integration.

ClawHub Agent Skills v1.0.1 3 files body ≈ 1 419 tokens Open the sourceclawhub.ai analyzed 3 d ago

Turn image briefs into production-ready GPT Image 2.5 Studio jobs with exact-text manifests, reference-image role contracts, ratio and resolution choices…

As a process B 74/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
74/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 3. 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 74/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 34 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1419 tokens

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 34 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill is a disclosed workflow guide for preparing and running image generation jobs in a third-party web Studio with user confirmation before uploads or credit use.
    LLM: benign (high) · VirusTotal: