AF lounge-guru-map
Use this skill when you need offline or air-gapped access to a bundled airport lounge catalog across participating lounge programs and sources. Trigger it for any lounge lookup, facility filtering, airport lounge 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.
Trigger it for any lounge lookup, facility filtering, airport lounge briefs, and lounge comparisons when network access is unavailable or disallowed.
As a process F 40/100 · Will not run — References files that are not bundled: assets/catalog.json
How to improve
- The text references files that are not there: add them or drop the references.
- 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-refreference to a missing file: assets/catalog.json
Process rating: all ten parameters 40/100
- 0Tools and files. 1 referenced file(s) missing: assets/catalog.json
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 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
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 591 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 438: 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.