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AC mobile-responsive-layout-fixer

Help users with Validated demand: Product teams need reliable workflows for fixing mobile responsiveness, navigation layout, and cross-device UI issues. This requirement is supported by 12 separate online signals across 2 source families, so it represents broader demand rather than a single isolated request.. Use when a user asks for creative-and-content, mobile responsive, responsive design, navbar, layout, or needs a practical workflow, artifact, checklist, analysis, or implementation support for this requirement.

ClawHub Agent Skills author: Kyro v0.1.0 MIT-0 7 files body ≈ 636 tokens Open the sourceclawhub.ai↗ analyzed 15 h ago

Help users with Validated demand: Product teams need reliable workflows for fixing mobile responsiveness, navigation layout, and cross-device UI issues.

As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerSoftware developmenttype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
62/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: mobile-responsive-layout-fixer (ClawHub)

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: 7. 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 62/100

    • 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
    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (mobile-responsive-layout-fixer) differs from the folder (mobile-responsive-layout-fixer-005353)
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100Execution cost. Instruction body is 636 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

    • +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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 521: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 16 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a simple guidance skill for fixing responsive layout issues, with no executable code, persistence, credential access, or hidden data handling.
    LLM: benign (high) · VirusTotal: · 13 Jul 2026