SKILLEMALL.ai

BF google-hotels-search

Search live Google Hotels stays by location, dates and occupancy, returned in one unified schema alongside every other booking platform. Use when a user wants to find Google Hotels listings. Powered by the StayingAPI REST API / MCP server.

ClawHub Hermes author: stayingapi v1.1.0 MIT-0 3 files body ≈ 1 407 tokens Open the sourceclawhub.ai analyzed 26 h ago

Search live Google Hotels stays by location, dates and occupancy, returned in one unified schema alongside every other booking platform.

As a process F 44/100 · Will not run — References files that are not bundled: references/auth-setup.md

IntegrationResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
70
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: references/auth-setup.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. 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
  • medium Broad scope meta-requests-env-secret SKILL.md:1
    Skill asks the runtime to inject credential env vars into its sandbox: STAYINGAPI_KEY — verify each one is needed for the stated purpose
    required_environment_variables: STAYINGAPI_KEY

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 239 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/auth-setup.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "required_environment_variables"

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: references/auth-setup.md
  • 0Tools and files. 1 referenced file(s) missing: references/auth-setup.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 18 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 1407 tokens
  • 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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 239: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 18 items
  • +1License stated

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

External checks

ClawHub: clean
This skill is a straightforward Google Hotels search integration that uses a StayingAPI key, with a minor credential-storage caution for users.
LLM: benign (high) · VirusTotal: · 27 Jul 2026