SKILLEMALL.ai
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BD ubtrippin

Manages travel for your user via UBTRIPPIN — trips, items, loyalty programs, family, city guides, events, concerts, notifications, and more. Use when the user asks about their trips, upcoming travel, flights, hotels, train bookings, concert tickets, event tickets, loyalty numbers, family travel, or wants to manage their travel tracker. Requires a UBTRIPPIN API key from ubtrippin.xyz/settings.

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files · 2 scripts body ≈ 5 184 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Manages travel for your user via UBTRIPPIN — trips, items, loyalty programs, family, city guides, events, concerts, notifications, and more.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationAI and agentsPersonal productivitytype 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
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
74
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-password-literal examples/get-trip.sh:4
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY="ubt_…ere"
    placeholder
  • low Secrets in code secret-password-literal examples/list-trips.sh:5
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY="ubt_…ere"
    placeholder

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5184 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 29 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Steps. 42 steps, 11 vague phrases
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5184 tokens
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 395: enough signal without eating the budget
  • +4Structure: 114 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (85 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.