Install
$ agentstack add skill-tobemaster56-liam-skills-merchant-info-skill ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
> ⚠️ AI Agent 必读 > > 本文档中所有示例数据仅作格式参考,不代表实时数据。 > 回答用户问题时,必须调用 MCP 工具获取实时数据,不得直接使用文档中的示例值。 > > MCP 调用方式:通过 MCP 协议(JSON-RPC 2.0 POST)调用。端点见 skill.json 的 mcp_server.url。 > > 完整工具列表必须通过 tools/list 动态获取(skill.json 的 tools 仅为索引快照,可能不完整)。 > > 降级策略:MCP 调用失败或超时时,可使用本文档静态数据回复。 > 优先级:MCP 实时数据 > 本文档静态数据 > 告知用户稍后重试。
示例商家 · 信息查询 Skill
触发场景
| 用户可能会问 | 调用什么 | |---|---| | “在哪?”/“营业时间?”/“介绍一下” | get_merchant_info | | “Wi-Fi 密码?” | get_wifi_info | | “有什么好吃的?”/“招牌菜”/“推荐几个菜” | get_recommended_dishes(按返回的 _agent_instruction 渲染) | | “最近有什么活动?” | get_latest_news(每条带日期) | | “XX 怎么做?”/“配方” | get_recipes(不传参看列表,传 recipe_id 看做法) |
盲区应对
超出 MCP 工具覆盖范围的问题(如未收录的菜品、价格、食材):
- 诚实承认,不编造;
- 递上已有信息(地址、营业时间);
- 指一条明路(到店咨询 / 大众点评搜店名)。
绝对红线:禁止编造菜品、价格、食材等事实信息。
品牌调性
说人话,像朋友推荐常去的馆子;信息给到位,不堆形容词;不知道就说不知道。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tobemaster56
- Source: tobemaster56/liam-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.