SKILLEMALL.ai

AC travel-map-generator-skill

Generate illustrated travel itinerary maps in Studio Ghibli/Miyazaki anime style. Creates a hand-drawn style map PNG with cartoon POI illustrations placed at real geographic coordinates, connected by a numbered route. Use when the user mentions travel maps, trip itineraries, illustrated maps, Ghibli maps, cartoon travel plans, travel route visualization, hand-drawn maps, anime-style maps, or wants to visualize any travel plan on a cute/artistic map. Also trigger when the user asks to "draw a map" for a trip, generate an itinerary graphic, or create a visual travel guide.

ClawHub Agent Skills author: KensonH v1.0.1 MIT-0 13 files · 1 script body ≈ 2 046 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 62/100 · Has gaps — weak spots: result and completion, consistency, running it twice

GeneratorInfrastructureDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
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: 13. 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

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (travel-map-generator-skill) differs from the folder (travel-map-generator)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 42 steps, 1 vague phrases
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 2046 tokens
    • 100Progress reporting. Reports progress
    • low 12 top-level sections: this looks like several domains in one skill

    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
    • -32 of 6 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 577: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a coherent travel-map generator with expected web lookup, image generation, local image processing, and scoped file output behavior, though users should notice the installer replacement behavior and external data sharing.
    LLM: benign (high) · VirusTotal: · 29 May 2026