SKILLEMALL.ai

AB lieferando-cli

Read-only German food-delivery discovery for Lieferando (default) and Uber Eats: search restaurants near an address, inspect menus, item option groups, prices, delivery fees, ETA, and opening state. JSON envelope output. Cannot log in, order, or pay. Trigger when asked to find food, compare delivery options, or resolve menu/item details on Lieferando or Uber Eats in Germany.

ClawHub Agent Skills author: karim v0.2.4 MIT-0 13 files body ≈ 970 tokens Open the sourceclawhub.ai analyzed 2 d ago

Read-only German food-delivery discovery for Lieferando (default) and Uber Eats: search restaurants near an address, inspect menus, item option groups…

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions

IntegrationSoftware developmenttype 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
B
73/100
Nearly there
Inputs and preconditions w 11
0
Tools and files w 18
60
Result and completion w 14
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

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 73/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, node) 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. 25 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 970 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (8 tags): a typed call is more reliable

    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 377: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 25 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: suspicious
    This is mostly a coherent read-only food-delivery lookup skill, but it keeps user location and cart data in local files without clear user-facing disclosure or controls.
    LLM: suspicious (high) · 7 Jul 2026