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AC openclaw-color-palette

Design-grade color processing suite — generate harmonious palettes from any seed color, check WCAG 2.1 AA/AAA contrast accessibility, convert between hex/RGB/HSL/HSV/CMYK, simulate 8 color blindness types, and extract dominant colors from images. Use when: (1) user says 'generate a color palette' or 'give me a color scheme for my website', (2) user asks 'check contrast' or 'is this readable' or 'WCAG accessibility', (3) user needs to 'convert hex to RGB' or 'what is #FF5733 in HSL', (4) user wants to 'simulate color blindness' or 'how do colorblind users see this', (5) user requests 'extract colors from image' or 'pull brand colors from this logo'. 6 harmony algorithms, 140 CSS named colors, k-means clustering. Zero install, sub-100ms on Cloudflare Workers. Free + Pro $9/mo.

ClawHub Agent Skills author: YedanYagami v2.0.0 2 files body ≈ 2 490 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorCloudflareDesignInfrastructuretype 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
51/100
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "read_when"
    • note frontmatter-key unknown frontmatter key "commands"

    Process rating: all ten parameters 51/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2490 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 785: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This skill is a coherent remote color-design helper; the main caution is that image or color inputs are sent to its disclosed MCP service for processing.
    LLM: benign (high) · VirusTotal: · 29 May 2026