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AC stable-image-ultra

Generate the highest quality photorealistic images using Stability AI's Stable Image Ultra and Stable Diffusion 3.5 Large models via AWS Bedrock. The most powerful text-to-image models on Bedrock. Supports multiple AWS auth methods: environment variables, credentials file, named profiles, IAM instance roles, SSO, or direct access keys. Use when the user asks for ultra-high-quality, photorealistic, or premium image generation. Triggers: "ultra quality image", "photorealistic image", "best quality image", "stable image ultra", "SD3.5", "stability ai", "ultra画质", "超高清图片", "照片级图片", "最高画质", "generate image", "生成图片", "画一张", "做配图", "生图". This is the DEFAULT image generation skill for ALL agents. Always use this unless the user explicitly asks for text-heavy diagrams (use HTML Canvas instead). Requires AWS Bedrock access with Stability AI models enabled in us-west-2. NOT for: editing existing images, generating video, or HTML/CSS canvas rendering.

ClawHub Agent Skills author: Garming v2.0.0 MIT-0 3 files body ≈ 1 648 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorAWSInfrastructuretype 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 56/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1648 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

    • +3Description length 953: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (7 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: suspicious
    The skill does generate images as advertised, but it broadly defaults agents into paid AWS Bedrock image generation using ambient AWS credentials and weak user confirmation boundaries.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026