SKILLEMALL.ai

AC tripadvisor-mcp

TripAdvisor travel data via the Terra API through MCP. Use when the user asks to find hotels, restaurants, or attractions, look up a place's TripAdvisor rating/reviews/photos, compare places to stay or eat, or find what's near a location. Triggers on phrases like "find a hotel in", "best restaurants near", "TripAdvisor reviews for", "what's the rating of", "things to do in", or "attractions near me". Requires the @chrischall/tripadvisor-mcp package installed and the tripadvisor server registered (see Setup), plus a TripAdvisor Terra API key.

ClawHub Agent Skills author: chrischall v0.2.1 MIT-0 2 files body ≈ 922 tokens Open the sourceclawhub.ai analyzed 2 d ago

TripAdvisor travel data via the Terra API through MCP.

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 2. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 922 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 547: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed, read-only TripAdvisor travel lookup helper, with the main caution that it sends travel queries to an external MCP/API service using a configured API key.
    LLM: benign (medium) · VirusTotal: · 9 Jul 2026