SKILLEMALL.ai

AC edic-design-system

Generate UI components, full pages, documents, emails, and assets that strictly follow the EDIC design system (Editorial × Olive Green, OKLch tokens, dark-mode ready, CJK-optimized). Use this skill whenever the user asks to build, style, or refactor anything for EDIC, or explicitly requests the EDIC / "editorial olive" design system. Output token-driven, accessible, framework-agnostic HTML/CSS.

ClawHub Agent Skills author: Chenyang v1.9.4 MIT-0 9 files body ≈ 3 271 tokens Open the sourceclawhub.ai analyzed 26 h ago

Generate UI components, full pages, documents, emails, and assets that strictly follow the EDIC design system (Editorial × Olive Green, OKLch tokens…

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

GeneratorDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
58/100
Has gaps
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"

    Process rating: all ten parameters 58/100

    • 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. 5 mutating operations with no state check
    • 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. 112 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3271 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    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 397: enough signal without eating the budget
    • +4Structure: 34 headings
    • +3Step-by-step instructions: 112 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a disclosed EDIC design-system skill for generating token-based UI code, with no artifact-backed evidence of exfiltration, destructive behavior, hidden execution, or credential access.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026