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AC gpt-image-2.5

Generate and edit images with GPT Image 2.5 through RunAPI. Use when the user asks an agent to create, edit, or transform images with GPT Image 2.5. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.

ClawHub Agent Skills author: RunAPI v0.1.1 MIT-0 2 files body ≈ 1 557 tokens Open the sourceclawhub.ai↗ analyzed 34 h ago

Generate and edit images with GPT Image 2.5 through RunAPI. Use when the user asks an agent to create, edit, or transform images with GPT Image 2.5. Default…

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
61/100
Has gaps
Progress reporting w 2
0
Inputs and preconditions w 11
30
Running it twice w 4
30
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

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "documentation"
    • note frontmatter-key unknown frontmatter key "provider_page"
    • note frontmatter-key unknown frontmatter key "catalog"

    Process rating: all ten parameters 61/100

    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (gpt-image-2.5) differs from the folder (runapi-gpt-image-2-5)
    • 50Failures and branches. 0 branches, has a failure section
    • 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. 13 steps
    • 100Execution cost. Instruction body is 1557 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 272: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 13 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill is a coherent RunAPI image-generation recipe with a disclosed third-party CLI dependency and no evidence of hidden or destructive behavior.
    LLM: benign (high) · VirusTotal: · 11 Sept 2026