SKILLEMALL.ai

AC kto-tourapi-cli

Korean tourism content (관광지·문화시설·축제공연·여행코스·레포츠·숙박·쇼핑·음식점) via 한국관광공사 TourAPI 4.0 (apis.data.go.kr/B551011/KorService2). Eight subcommands wrap areaCode2, categoryCode2, areaBasedList2, locationBasedList2, searchKeyword2, searchFestival2, searchStay2, and a one-shot detail fetch (detailCommon2 + detailIntro2 + detailInfo2 + detailImage2). Use when planning Korea trip itineraries, building festival calendars, sourcing K-tourism content for blogs/maps/videos, finding nearby restaurants or stays from a coordinate, or backing TourAPI-grounded answers in an AI agent. Pairs with juso-address-cli (resolve addresses), kakao-local-cli (Kakao Maps pins), kr-holiday-cli (align with KR calendar), naver-papago-translate (localize for non-KR users), and tistory-api-cli / velog-cli (publish itineraries). Free data.go.kr tier (1,000 req/day dev, 10,000+ req/day on prod approval).

ClawHub Agent Skills author: Chloe Park v0.1.0 MIT-0 15 files · 12 scripts body ≈ 1 673 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

IntegrationPersonal productivityInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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: 15. 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
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 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
    • 100Steps. 24 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1673 tokens
    • high The skill tells the model to perform an irreversible action with no human approval

    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)
    • +3Description length 875: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -31 of 9 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (8 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill is a straightforward command-line wrapper for Korea tourism API lookups, with its API-key and network use disclosed.
    LLM: benign (high) · VirusTotal: · 29 May 2026