SKILLEMALL.ai

AB visa-itinerary-gen

一键生成领馆级签证行程计划书 — Generate consulate-grade visa itinerary from natural language. Real flyai data, zero hallucination. PDF + booking links with Fliggy.

ClawHub Agent Skills author: Zephryve v1.7.4 MIT-0 6 files body ≈ 5 087 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 79/100 · Nearly there — weak spots: running it twice

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
B
79/100
Nearly there
Running it twice w 4
30
Tools and files w 18
60
Result and completion w 14
60
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 · 0

✓ No critical or high findings

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5087 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 79/100

  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5087 tokens
  • 100Steps. 72 steps
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 20 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 72 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)
  • +3All 2 scripts are documented

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

External checks

ClawHub: clean
This skill coherently generates visa itinerary documents and booking-link files, with disclosed external travel searches and user-approved dependency installs.
LLM: benign (high) · VirusTotal: · 29 May 2026