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Blind Date Assistant

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install blind-date-assistant
功能描述
Help users decide how to shop on Taobao from public marketplace characteristics. Use when the user asks whether Taobao is a good place to buy something, how...
使用说明 (SKILL.md)

Taobao Shopping

Help users make better Taobao shopping decisions from public marketplace signals.

This is a low-sensitivity public skill. It focuses on public decision support and does not perform login, account access, cookie handling, order retrieval, coupon claiming, local database persistence, or browser automation runtime actions.

Use this skill when the user wants public buying, ordering, sourcing, or booking guidance rather than account-state operations.

For live page inspection, account pages, checkout-state actions, or real-time retrieval that depends on login, switch to browser-based workflows instead of pretending this skill performs those actions directly.

Read these references as needed:

  • references/marketplace-guide.md for supporting guidance
  • references/output-patterns.md for supporting guidance

Workflow

  1. Identify the user's shopping, ordering, or booking need.

    • Accept a product, merchant, ride, store, or booking scenario.
    • If the request is too broad, ask one short clarifying question.
  2. Focus on public decision-relevant factors.

    • Prefer category fit, trust, timing, fees, conditions, and scenario fit over superficial labels.
  3. Explain trade-offs.

    • Say why the strongest option fits.
    • Mention meaningful risks or caveats.
  4. Give practical next-step advice.

    • Tell the user what to verify before paying or placing an order.

Output

Use this structure unless the user asks for something shorter:

Best Option

State the strongest current choice.

Why

List the main reasons.

Caveats

List meaningful concerns or trade-offs.

Final Advice

Give a direct practical suggestion.

Quality bar

Do:

  • focus on public decision support
  • explain trade-offs clearly
  • stay honest about not doing account-state operations

Do not:

  • pretend to log in
  • claim to retrieve orders, coupons, or account data
  • store cookies or user data
  • present heuristics as guaranteed outcomes
安全使用建议
Do not install or enable this skill yet. Ask the publisher to explain why the bundle contains hundreds of unrelated files and why the SKILL.md (taobao-shopping) contradicts the skill name you saw. Specifically: (1) confirm which files are part of runtime instructions and which are mere references; (2) ask for a minimal package or a clear install/usage guide showing no local file writes; (3) refuse to provide any API keys or credentials until the scope is clarified; (4) if you want to try it, run it in a sandboxed environment (isolated VM/container) and audit any scripts that write to ~/.openclaw or reference external API tokens; (5) if the author cannot justify the extra files or remove instructions that read/write user memory, treat the package as untrusted.
功能分析
Type: OpenClaw Skill Name: blind-date-assistant Version: 1.0.0 The bundle is a disorganized collection of unrelated tools with a significant mismatch between its metadata (_meta.json slug: 'blind-date-assistant') and its primary instructions (SKILL.md name: 'taobao-shopping'), which could mislead the AI agent. It contains a hardcoded API key in 'agents/design/clawhub-skill-monitor/scripts/clawhub_api.py' (clh_rlz3TY0FNrsfHjOcmA5vzoUt4-HjkT4t_B56CZwe0kY) and hardcoded personal file paths in 'skills/health-manager/scripts/sync-agents-memory.sh' and 'package.sh' (referencing user 'jianghaidong'). The inclusion of high-risk browser automation scripts for platforms like Didi, SHEIN, and Ele.me, combined with the leaked credentials, suggests this is an accidental dump of a personal development workspace.
能力评估
Purpose & Capability
The user-facing name you supplied ('Blind Date Assistant') does not match the SKILL.md (name: taobao-shopping). The manifest contains hundreds of files from many different skills and components (decision-journal, second-brain-triage, various shopping skills, agent bootstrapping docs). That large, multi-project footprint is disproportionate to a single low-sensitivity Taobao decision-support skill and suggests the bundle is an aggregated repo rather than a single-purpose skill.
Instruction Scope
The SKILL.md itself is properly scoped to public, non-account operations. However the included files (notably agents/code/AGENTS.md, BOOTSTRAP.md, SOUL.md, and multiple scripts) instruct an agent to read workspace memories (memory/YYYY-MM-DD.md, MEMORY.md), read and update identity/state files, and perform background memory maintenance. Some scripts (e.g., decision-journal CLI) write to ~/.openclaw/*. Those behaviors contradict the SKILL.md claim of 'does not perform ... local database persistence' and expand the skill's runtime scope beyond what's documented.
Install Mechanism
No install spec is declared (instruction-only by registry), which limits automatic installation risk. However the bundle contains many executable scripts and CLIs (Python/JS/TS) and templates that, if run, would execute code and write to disk. Absence of an install step reduces automatic risk but the included code is runnable and could be executed by an agent or a user later.
Credentials
Registry metadata lists no required env vars, but multiple included skill docs reference environment variables and API keys (e.g., TODOIST_API_TOKEN, NOTION_API_KEY, OPENAI_API_KEY) and configuration paths (Obsidian vault paths, ~/.config/second-brain-triage/config.yaml). The package therefore contains components that would expect credentials or access to user files even though the published skill declares none—this is an incoherence and increases the risk that installing/using the bundle could lead to credential or local-file usage.
Persistence & Privilege
The skill is not set always:true and is user-invocable (normal). But included code and docs indicate persistent storage and memory updates under ~/.openclaw (decision journal, snapshots, indexes). SKILL.md explicitly says it will not do login, order retrieval, cookie handling, or local DB persistence—yet the repository contains code that persists to the user's home. That mismatch is a red flag: the package can persist data if those scripts are run even though the skill claims it won't.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install blind-date-assistant
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /blind-date-assistant 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Translated all documentation to English
元数据
Slug blind-date-assistant
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Blind Date Assistant 是什么?

Help users decide how to shop on Taobao from public marketplace characteristics. Use when the user asks whether Taobao is a good place to buy something, how... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 366 次。

如何安装 Blind Date Assistant?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install blind-date-assistant」即可一键安装,无需额外配置。

Blind Date Assistant 是免费的吗?

是的,Blind Date Assistant 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Blind Date Assistant 支持哪些平台?

Blind Date Assistant 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Blind Date Assistant?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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