SKILLEMALL.ai

AC travel-search-ru

Use while planning a trip when Russian-catalog search is needed: package tours, hotels, flights, trains, excursions, prices, and booking links. Trigger on Russian requests: «спланировать путешествие», «подобрать тур», «найти отель/авиабилеты/жд билеты/экскурсии», «маршрут с актуальными ценами». Not for general advice without live search.

ClawHub Agent Skills author: missial v2.5.0 MIT-0 8 files · 2 scripts body ≈ 3 170 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use while planning a trip when Russian-catalog search is needed: package tours, hotels, flights, trains, excursions, prices, and booking links.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedurePersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
100/100
safety, quality, tests
Safety 60%
100
Quality 40%
100
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 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 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 52 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3170 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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

    • +3Output format is not stated: the model decides each time
    • +5Description quotes 4 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 339: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 52 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented
    • +1License stated
    • +2Bilingual instructions (RU + EN)

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

    External checks

    ClawHub: clean
    This skill is a disclosed travel-search helper that sends trip search criteria to one fixed external service and does not book, persist data, or request credentials.
    LLM: benign (high) · VirusTotal: · 3 Oct 2026