SKILLEMALL.ai

A nomtiq

Nomtiq 小饭票 is a personalized restaurant finder with local dining memory. Use when the user asks where to eat, wants nearby restaurant recommendations, date-night, business, family or solo dining, says 找餐厅、推荐餐厅、今晚吃什么、附近有什么好吃的, or wants to record a restaurant visit and update a local taste profile. Searches Amap in mainland China and Google Maps via Serper elsewhere, then gives 2+1 recommendations based on taste, budget, location, party size and occasion. Memory is limited to local restaurant preferences and feedback. Do not use for recipes, groceries, calorie tracking or food delivery.

ClawHub Agent Skills author: OakcoderX v0.5.2 MIT-0 19 files body ≈ 1 100 tokens open source ↗ analyzed 26 h ago
ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
A
95/100
Overall score
Safety 60%
100
Quality 40%
88
Tests bonus
0

How to improve

  1. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  2. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Lint

  • note frontmatter-key unknown frontmatter key "homepage"

Process maturity 68/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 85Steps. 23 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1100 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
  • -310 of 13 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 591: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

External checks

ClawHub: clean
This restaurant recommendation skill is mostly coherent and purpose-aligned, with some transparency gaps around optional search providers and local profile handling.
LLM: benign (medium) · VirusTotal: · 17 Jul 2026