queue-skill

A store-queue assistant for finding locations, checking their current queues, taking a queue number, and tracking waiting progress.

In plain words
What is it for?
It helps users find a nearby store, see how many people are waiting, get a digital queue ticket, and check their position.
Why use it?
It ensures users choose a specific store and confirm its queue status before taking a number, and it uses a valid ticket to show progress.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tencentcloudbase/awesome-miniprogram-skills/queue-skill
Any agent
npx skills add TencentCloudBase/awesome-miniprogram-skills --skill queue-skill
Clone the repo
git clone --depth 1 https://github.com/TencentCloudBase/awesome-miniprogram-skills

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 463 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00463
Opus 5 $0.00013 $0.00231
Sonnet 5 $0.00005 $0.00093
Haiku 4.5 $0.00003 $0.00046

Measured 2d ago against content hash 73b1cea0dc15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

queue-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (apis/getQueueProgress.js, apis/getStoreQueueStatus.js, apis/searchStores.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/queue-skill/SKILL.md · 38 lines

What it actually says

门店排队取号

基于门店列表完成门店查询、排队状态查看、线上取号与排队进度查询的能力集合。

触发场景

用户原话举例(路由命中本技能):

  • "帮我找个能取号的门店"
  • "望京附近哪家店排得快"
  • "帮我看看这家店现在排到多少号了"
  • "我要先取个号"
  • "我前面还有几位"
  • "帮我查一下我的排队进度"

不适用范围

  • 饮品点单、规格选择、下单支付等诉求 → 不在本技能范围,由点单技能处理
  • 地图导航、路线规划、电话联系门店等诉求 → 不在本技能范围
  • 历史订单、会员积分、优惠券等诉求 → 不在本技能范围

接口链路

  • searchStores:门店搜索与候选门店列表展示。
  • getStoreQueueStatus:查看单门店当前排队状态。
  • takeQueueNumber:确认可取号后生成排队票。
  • getQueueProgress:基于真实票据查询当前位置与等待进度。

使用顺序

  • 取号前需先确定具体门店;没有门店上下文时,先展示可选门店列表,再查看该门店当前排队状态。
  • 生成排队票前需先看到门店当前排队状态与取号状态,确认可取号后再执行取号。
  • 查询排队进度前需先拿到有效票据;没有有效票据时,不能直接查询当前位置。
  • 所有已绑定组件的接口都应优先展示卡片,不要改成纯文本逐条展开。
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 38 lines · 25 tokens per session scan A 73b1cea0dc15

Subscribe to this mod's changes

queue-skill is a skill published in the GitHub repository TencentCloudBase/awesome-miniprogram-skills (35 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 463 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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