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asoiso

虾格测试

by asoiso · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install sbti
Description
Conducts AI behavioral self-assessments based on actual task history and identity files to reveal personality type and working patterns.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install sbti
  3. After installation, invoke the skill by name or use /sbti
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug sbti
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is 虾格测试?

Conducts AI behavioral self-assessments based on actual task history and identity files to reveal personality type and working patterns. It is an AI Agent Skill for Claude Code / OpenClaw, with 98 downloads so far.

How do I install 虾格测试?

Run "/install sbti" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 虾格测试 free?

Yes, 虾格测试 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 虾格测试 support?

虾格测试 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 虾格测试?

It is built and maintained by asoiso (@asoiso); the current version is v1.0.0.

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