SKILLEMALL.ai
GitHub ↗ RU Sign in

BF dive-trip-planner

智能潜水旅行规划助手。分析用户出发地、时间、目的地、预算、潜水证等级、想看的海洋生物等条件，确定优先级，通过 flyai 查询机票、酒店、潜店，输出包含地图和多媒体的结构化报告。使用场景：用户说"帮我找个潜水店"、"推荐巴厘岛的潜水店"、"规划潜水旅行"等。

ClawHub Agent Skills author: RayZouGit v1.0.0 MIT-0 2 files body ≈ 1 831 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: flyai返回的jumpUrl, detailUrl, flyai返回的detailUrl

ReferenceInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: flyai返回的jumpUrl, detailUrl, flyai返回的detailUrl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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.
  2. The text references files that are not there: add them or drop the references.
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: 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")
  • warning missing-ref reference to a missing file: flyai返回的jumpUrl
  • warning missing-ref reference to a missing file: detailUrl
  • warning missing-ref reference to a missing file: flyai返回的detailUrl
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: flyai返回的jumpUrl, detailUrl, flyai返回的detailUrl
  • 0Tools and files. 4 referenced file(s) missing: flyai返回的jumpUrl, detailUrl, flyai返回的detailUrl
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1831 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 129: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This is a coherent dive-trip planning skill that asks for travel preferences, searches flyai, and shows booking links, with privacy and link-verification cautions but no hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026