SKILLEMALL.ai

BF pricewin-hotel-deal-finder

Find the cheapest hotel deal by comparing live prices across Booking.com, Agoda, Google Hotels, and OpenTravel for any city worldwide and any travel dates — one command returns ranked best-value, cheapest, and quality picks with direct booking links, all normalized to USD. Use whenever someone asks for hotel prices, hotel deals, the cheapest room or rate, best hotel rates, a hotel price comparison, or which OTA is cheaper — e.g. 'is Booking or Agoda cheaper for Tokyo', 'find me a hotel in Bangkok under $100', 'compare hotel prices for 12–15 Aug', 'cheapest hotel near Shinjuku'.

ClawHub Agent Skills author: wenlambo v1.1.3 MIT-0 13 files · 1 script body ≈ 2 454 tokens Open the sourceclawhub.ai analyzed 2 d ago

Find the cheapest hotel deal by comparing live prices across Booking.com, Agoda, Google Hotels, and OpenTravel for any city worldwide and any travel dates —…

As a process F 57/100 · Will not run — References files that are not bundled: url, <cheapest_link>, <agoda_link>

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: url, <cheapest_link>, <agoda_link>
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token package-lock.json:24
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
    detector

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: <cheapest_link>
  • warning missing-ref reference to a missing file: <agoda_link>
  • warning missing-ref reference to a missing file: <booking_link>
  • warning missing-ref reference to a missing file: <google_link>
  • warning missing-ref reference to a missing file: <opentravel_link>
  • warning missing-ref reference to a missing file: <link>

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: url, <cheapest_link>, <agoda_link>
  • 0Tools and files. 7 referenced file(s) missing: url, <cheapest_link>, <agoda_link>
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 8 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 18 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2454 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (10 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 584: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 18 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed local hotel-price search tool that uses browser automation and travel APIs, with no artifact evidence of hidden data theft, destructive behavior, or credential use.
LLM: benign (high) · VirusTotal: · 2 Aug 2026