SKILLEMALL.ai

AB robotaxi-tracker

Use this skill when the user asks for the latest or current US autonomous vehicle, self-driving car, robotaxi, Tesla, or Waymo vehicle counts, fleet size, city distribution, official fleet numbers, tracker-collected counts, or comparison tables, especially when the data should come from robotaxitracker.com / Robotaxi Tracker. It covers natural requests like "帮我查下最新的美国自动驾驶车辆数量" and provides the workflow to inspect frontend bundles, discover Convex backend queries, separate official-fleet vs tracker-collected metrics, validate city counts and totals, and format compact comparison tables.

ClawHub Agent Skills author: 阿赖 v1.0.0 MIT-0 1 file body ≈ 1 731 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Tools and files w 18
60
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: 1. 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 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 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
    • 70Failures and branches. 10 branches
    • 100Steps. 54 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1731 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 592: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 54 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The skill's requirements and runtime instructions are consistent with its stated purpose (scraping robotaxitracker.com and querying its public Convex backend); it performs only site and backend HTTP queries and local text processing, requests no secrets, and has no install steps.
    LLM: benign (high) · VirusTotal: · 29 May 2026