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BB tripgenie

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 3 d ago

As a process B 67/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, consistency

ProcedureInfrastructuretype 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
B
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
71
Run on models
none yet
Process rating
B
67/100
Nearly there
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 67/100

  • 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)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 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: clean
TripGenie is a disclosed Trip.com travel API wrapper, with expected third-party data sharing and API-key use but no evidence of hidden, destructive, or unrelated behavior.
LLM: benign (high) · VirusTotal: benign · 28 May 2026