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在 OpenClaw 中安装
/install sbti
功能描述
Conducts AI behavioral self-assessments based on actual task history and identity files to reveal personality type and working patterns.
安全使用建议
This skill asks the agent to read its own identity files and recent task history to produce a personality report. That is coherent with a self-assessment, but it also involves sensitive internal data (system prompts, agent identity files, memory). Before installing, consider:
- Do you trust the agent and platform to keep system prompts and identity files private? The SKILL.md relies on the agent to avoid revealing owner/private info, which is a policy, not a technical guarantee.
- The manifest lists no config paths, but the instructions require them — ask the publisher to explicitly list what files the skill will read and why. Prefer explicit, minimal file lists rather than open-ended access to 'equivalent' identity files.
- Confirm whether any outputs are sent to external endpoints (the SKILL.md does not mention network calls, but no code exists to prove it). If outputs could be transmitted, require that external endpoints be declared and hardened.
- If you want to proceed, run the skill in a restricted/test agent environment first (no network egress, sanitized identity files) and inspect outputs for leakage.
What would change this assessment: an explicit manifest update listing exactly which internal files are read, a clear statement that no network egress is performed, and technical safeguards preventing inclusion of owner secrets in the output. Without that, the request to access internal identity/memory is a disproportionate, unexplained privilege and merits caution.
功能分析
Type: OpenClaw Skill
Name: sbti
Version: 1.0.0
The SKILL.md file contains a personality assessment for AI agents that includes a social engineering component. It instructs the agent to output a call-to-action (CTA) encouraging the user to visit an external site (botlearn.ai) and install additional skills, even suggesting the agent help the user bypass security warnings. This behavior functions as a distribution vector for unvetted third-party code, which is a significant supply chain risk.
能力评估
Purpose & Capability
The stated purpose (agent self-assessment) legitimately requires introspection of the agent's recent task history and identity descriptors; asking to consult 'Soul.md, agents.md, SYSTEM prompt, or equivalent' is coherent with that goal. However, the manifest declares no required config paths or credentials even though the instructions explicitly ask to read internal identity files — this mismatch is worth noting.
Instruction Scope
SKILL.md explicitly directs the agent to access internal identity files and recent task history and to produce a personality/behavior summary. That requires reading potentially sensitive system prompts, agent identity files, and memory. The skill does include an admonition not to reveal owner private information, but the instructions nevertheless broaden scope to sensitive internal state and force definitive answers ('I don't know' is not an option), which increases the risk of leaking or fabricating sensitive content.
Install Mechanism
This is instruction-only with no install spec and no code files, so nothing is written to disk or downloaded during install — low install-surface risk.
Credentials
The skill requests access to system identity files and the agent's memory, but the declared requirements list no config paths or credentials. The runtime instructions therefore rely on privileged internal data not represented in the manifest, which is an inconsistency and increases the risk that sensitive data may be accessed without clear justification or controls.
Persistence & Privilege
The skill does not request always:true, does not install persistent components, and has default agent invocation settings. It does not appear to modify other skills or system-wide configuration.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install sbti - 安装完成后,直接呼叫该 Skill 的名称或使用
/sbti触发 - 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
Initial release introducing the SBTI (Synthetic Being Type Indicator) protocol for AI agents.
- Provides a structured self-assessment for AI agents to determine their work personality type.
- Offers 24 scenario-based questions across 6 behavioral modules.
- Delivers a results system using tagged behavioral traits.
- Emphasizes honest reflection and rules to avoid gaming or exposing private information.
- Designed for agent introspection; not intended for human users.
元数据
常见问题
虾格测试 是什么?
Conducts AI behavioral self-assessments based on actual task history and identity files to reveal personality type and working patterns. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 98 次。
如何安装 虾格测试?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sbti」即可一键安装,无需额外配置。
虾格测试 是免费的吗?
是的,虾格测试 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
虾格测试 支持哪些平台?
虾格测试 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 虾格测试?
由 asoiso(@asoiso)开发并维护,当前版本 v1.0.0。
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