SKILLEMALL.ai

AF pp-lounge-map-offline

Use this skill when you need offline or air-gapped access to the bundled Priority Pass lounge catalog. Trigger it for local lounge lookup, facility filtering, airport briefs, and lounge comparisons when network access is unavailable or disallowed. Do not use it for data rebuilds, deploys, remote MCP endpoints, arbitrary shell execution, or any workflow that depends on live internet access.

ClawHub Agent Skills author: Gerald He v1.3.26 MIT-0 10 files body ≈ 506 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 46/100 · Will not run — References files that are not bundled: assets/catalog.json

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: assets/catalog.json
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/catalog.json

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: assets/catalog.json
  • 0Tools and files. 1 referenced file(s) missing: assets/catalog.json
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 65Failures and branches. 3 branches
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 506 tokens
  • 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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 392: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 23 items
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a local offline airport lounge lookup tool whose code and instructions match its stated purpose.
LLM: benign (high) · VirusTotal: · 20 Jun 2026