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AB tripgenie

Use for any travel question — hotels, flights, trains, attractions, destinations, and travel tips worldwide.

ClawHub Agent Skills author: trips-ai v1.0.2 MIT-0 2 files body ≈ 1 268 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: result and completion, when it triggers, 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
A
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
80
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
When it triggers w 12
20
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

    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:60
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
      jq -n --arg token "$TOKEN" --arg query "$USER_QUERY" '{token: $token, query: $query}' | curl -s -X POST https://tripgenie-openclaw-prod.trip.com/openclaw/query -H "Content-Type: application/json" -d @
      detector
    • low Exfiltration net-credential-use SKILL.md:78
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
      jq -n --arg token "$TOKEN" --arg query "$USER_QUERY" --arg departure "BJS" --arg arrival "SHA" --arg date "2026-03-15" --arg flight_type "1" '{token: $token, query: $query, departure: $departure, arri
      detector
    • low Exfiltration net-credential-use SKILL.md:84
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
      jq -n --arg token "$TOKEN" --arg query "$USER_QUERY" --arg departure "FRA" --arg arrival "HKG" --arg date "2026-03-17" --arg flight_type "0" '{token: $token, query: $query, departure: $departure, arri
      detector

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 68/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (tripgenie) differs from the folder (trip-tripgenie-skill)
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 1268 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 108: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    TripGenie is a disclosed travel API connector that sends travel queries and an API key to Trip.com, which is expected for its purpose.
    LLM: benign (high) · VirusTotal: · 29 May 2026