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TripGenie skill — handles hotel booking, flight search, attraction recommendation and travel consultation

ClawHub Agent Skills author: ArthurChiao v0.1.2 MIT-0 2 files body ≈ 1 284 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

TripGenie skill — handles hotel booking, flight search, attraction recommendation and travel consultation

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
71
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration net-credential-use SKILL.md:57
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    jq -n --arg token "$TRIPGENIE_API_KEY" --arg query "$USER_QUERY" --arg locale "$LANG" '{token: $token, query: $query, locale: $locale}' | curl -s -X POST https://tripgenie-openclaw-prod.trip.com/openc
    detector
  • low Exfiltration net-credential-use SKILL.md:75
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    jq -n --arg token "$TRIPGENIE_API_KEY" --arg departure "BJS" --arg arrival "SHA" --arg date "2026-03-15" --arg flight_type "1" '{token: $token, departure: $departure, arrival: $arrival, date: $date, f
    detector
  • low Exfiltration net-credential-use SKILL.md:82
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    jq -n --arg token "$TRIPGENIE_API_KEY" --arg departure "FRA" --arg arrival "HKG" --arg date "2026-03-17" --arg flight_type "0" '{token: $token, departure: $departure, arrival: $arrival, date: $date, f
    detector

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 62/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (tripgenie) differs from the folder (tcom-tripgenie-skill)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Execution cost. Instruction body is 1284 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 105: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 26 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This travel skill appears purpose-built for Trip.com queries, but it is broad enough to capture general travel conversations and sends potentially sensitive travel details plus an API token to an external service with weak disclosure and unsafe local handling.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026