SKILLEMALL.ai

AC flightaware-mcp

Live flight tracking and aviation data via FlightAware AeroAPI through MCP. Use when the user asks to track a flight, look up a flight's status/position/route/track, see an airport's arrivals/departures/delays/weather, find flights for an airline, look up an aircraft's owner, get scheduled flights between dates, or manage FlightAware flight alerts. Triggers on phrases like "where is flight UAL123", "track flight", "JFK departures", "is my flight delayed", "flights near", "who owns tail number N12345", or "set up a flight alert". Requires the @chrischall/flightaware-mcp package installed and the flightaware server registered (see Setup), plus an AeroAPI key.

ClawHub Agent Skills author: chrischall v0.5.2 MIT-0 2 files body ≈ 1 345 tokens Open the sourceclawhub.ai analyzed 31 h ago

Live flight tracking and aviation data via FlightAware AeroAPI through MCP.

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 58/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1345 tokens

    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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 665: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    The skill’s flight-tracking purpose is coherent, but its setup asks users to run an unpinned third-party MCP package with an API key, which deserves review before installation.
    LLM: suspicious (medium) · 10 Sept 2026