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.
npx skills add tobemaster56/liam-skills --skill merchant-info-skillgit clone --depth 1 https://github.com/tobemaster56/liam-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tobemaster56/liam-skills/merchant-info-skill)<a href="https://agentmods.dev/skills/tobemaster56/liam-skills/merchant-info-skill"><img src="https://agentmods.dev/badge/skills/tobemaster56/liam-skills/merchant-info-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tobemaster56/liam-skills/merchant-info-skill"><img src="https://agentmods.dev/badge/skills/tobemaster56/liam-skills/merchant-info-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.00598 |
| Opus 5 | $0.00025 | $0.00299 |
| Sonnet 5 | $0.00010 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
merchant-info-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 11d ago.
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.
What it actually says
⚠️ 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。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 53 lines · 50 tokens per session scan A 93fe4305a370
merchant-info-skill is a skill published in the GitHub repository tobemaster56/liam-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 598 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration.
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration.
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows.
V3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
V3 DDD Architecture
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.