SKILLEMALL.ai

AF my-coffee

Use when users ask to order Luckin Coffee, search Luckin stores/products, query pickup code/order status, cancel a Luckin order, or mention 瑞幸、luckin、咖啡、拿铁、美式、生椰拿铁、橙C美式、果茶、轻乳茶、果蔬茶、柠檬茶、点单、下单、点一杯、喝一杯、买一杯、门店、取餐码.

ClawHub Agent Skills author: luckincoffee v0.8.4 MIT-0 5 files body ≈ 2 484 tokens Open the sourceclawhub.ai analyzed 31 h ago

Use when users ask to order Luckin Coffee, search Luckin stores/products, query pickup code/order status, cancel a Luckin order, or mention…

As a process F 33/100 · Will not run — References files that are not bundled: 完整payOrderQrCodeUrl

ProcedureAI and agentsCommerceSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: 完整payOrderQrCodeUrl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: 完整payOrderQrCodeUrl
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "packageType"
  • note frontmatter-key unknown frontmatter key "instructionOnly"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: 完整payOrderQrCodeUrl
  • 0Tools and files. 1 referenced file(s) missing: 完整payOrderQrCodeUrl
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 100Steps. 119 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2484 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 209: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 119 items
  • +4Has examples (6 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This coffee-ordering skill is mostly coherent, but it needs review because it handles real orders and bearer tokens with broader persistence and fallback command behavior than users may expect.
LLM: suspicious (high) · 16 Jul 2026