SKILLEMALL.ai

AB brand-landingpage

Brand-first landing page designer — interviews the user to discover brand identity (adjectives, colors, typography, shape language), then generates and iterates on a polished landing page via Google Stitch with deployment-ready HTML output. Preferred over frontend-design for standalone landing/marketing pages where the user hasn't established visual direction yet. TRIGGER when: user asks to "create/design/build a landing page", "make a homepage for my project/product/service", "build a marketing page", or wants to promote an app/side project. Especially when they haven't defined brand colors, fonts, or visual style — the guided brand interview is the core value. DO NOT TRIGGER when: user has a specific design mockup to implement, wants a dashboard or app UI, needs component-level frontend work (buttons, forms, navbars), is building a multi-page application, or is restyling an existing page with known design tokens. Use frontend-design for those cases.

ClawHub Agent Skills author: davidbergman121 v1.0.0 MIT-0 5 files body ≈ 3 755 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, consistency

GeneratorMarketingtype 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
B
70/100
Nearly there
Result and completion w 14
0
Consistency w 8
40
Tools and files w 18
60
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: 5. 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 70/100

    • 0Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (brand-landingpage) differs from the folder (brand-frontend)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 47 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 10 branches, has a failure section
    • 100Execution cost. Instruction body is 3755 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 965: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 47 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

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

    External checks

    ClawHub: suspicious
    The skill is a coherent landing-page generator, but it gives the agent too much automatic authority to install software and use a Stitch API key before clear approval.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026