SKILLEMALL.ai
GitHub ↗ RU Sign in

BF maoyan-ticket-booking

猫眼电影票全自动购票助手。支持影片搜索、热映查询、影院查找、场次选择、智能选座、支付引导、出票查询、取票二维码展示等完整购票流程。使用场景：用户说"买电影票"、"购票"、"用猫眼购票"、"帮我买电影票"、"我想看电影"、"最近有什么电影"、"附近有什么影院"、"选座"、"查场次"时触发。关键词：电影票、猫眼、购票、选座、电影、影院、场次、热映、取票

ClawHub Agent Skills author: MaoyanTech v1.0.4 MIT-0 23 files body ≈ 2 356 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: error-codes.md, <登录链接>, <支付链接>

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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: error-codes.md, <登录链接>, <支付链接>
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: 23. 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: error-codes.md
  • warning missing-ref reference to a missing file: <登录链接>
  • warning missing-ref reference to a missing file: <支付链接>
  • note frontmatter-key unknown frontmatter key "persistence"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: error-codes.md, <登录链接>, <支付链接>
  • 0Tools and files. 3 referenced file(s) missing: error-codes.md, <登录链接>, <支付链接>
  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 60 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2356 tokens
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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
  • -218 emoji in the instructions: noise for the model
  • -32 of 19 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This movie-ticket skill matches its stated purpose, but it gives the agent purchase/session authority and uses ready-to-run messaging commands for login and payment links that need careful review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026