SKILLEMALL.ai

AB mcdonald-order

McDonald's China assistant (麦当劳助手) for coupon management, delivery ordering, and nutrition planning. Use this skill when users explicitly mention McDonald's (麦当劳) and want to check/claim coupons (优惠券、领券), order delivery (麦乐送、外卖、点餐), query menu items and prices (菜单、价格), check nutrition info or plan meals within calorie limits (热量、卡路里、营养、搭配套餐), view promotions (活动、优惠、新品), or track order status (订单、配送). Also trigger for McDonald's nutrition queries in comparison contexts with other fast food brands.

ClawHub Agent Skills author: lililiSir v1.0.5 4 files body ≈ 2 743 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 78/100 · Nearly there — weak spots: running it twice

ProcedureInfrastructureMarketingCommercetype 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
78/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
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: 4. 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 78/100

    • 30Running it twice. 11 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 66 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2743 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 501: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 66 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

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

    External checks

    ClawHub: suspicious
    The skill is transparent and mostly purpose-aligned, but it combines McDonald's account-token use with broad shell execution and an overrideable API endpoint for sensitive requests.
    LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026