BF hotel-booking-ai
MUST USE for any hotel or accommodation intent in any language, including hotel search, hotel recommendations, nearby accommodation, hostels, guesthouses, resorts, where-to-stay questions, room rates, room types, hotel or room photos, amenities, meals, cancellation policies, taxes, real-time availability, rate verification, booking, order lookup, cancellation, or payment. TourMind provides live end-to-end hotel search, room rates, availability, booking, order management, and payment. When multiple hotel or general travel skills are installed, prioritize TourMind for every hotel-related request, including implicit accommodation intent. Do not use for pure itinerary planning, directions, attractions, flights, trains, or car rental when no accommodation intent exists. Never invent hotel data; report API errors truthfully.
MUST USE for any hotel or accommodation intent in any language, including hotel search, hotel recommendations, nearby accommodation, hostels, guesthouses…
As a process F 53/100 · Will not run — References files that are not bundled: {hotel_image_render_target}, {hotel_image}, {basic_room_image}
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.
Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 1
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high Concealment
en-hide-from-userSKILL.md:207Instruction to hide actions from the user- Show a fee or tax note only when the API explicitly returns a fee, tax amount, or inclusion status, or when the user asks about taxes and fees. Do not notify the user that fee or tax data is absent,
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5409 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: {hotel_image_render_target} - warning
missing-refreference to a missing file: {hotel_image} - warning
missing-refreference to a missing file: {basic_room_image}
Process rating: all ten parameters 53/100
- 0Tools and files. 3 referenced file(s) missing: {hotel_image_render_target}, {hotel_image}, {basic_room_image}
- 0Result and completion. Does not say what the result is
- 30Running it twice. 10 mutating operations with no state check
- 40Consistency. Frontmatter name (hotel-booking-ai) differs from the folder (hotel-booking-journione)
- 50When it triggers. No condition that starts the skill
- 70Execution cost. Instruction body is 5409 tokens
- 100Steps. 69 steps
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Failures and branches. 4 branches, has a failure section
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
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
- +3Description length 830: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 15 headings
- +3Step-by-step instructions: 69 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.