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在 OpenClaw 中安装
/install bias-audit-clarkchenkai
功能描述
Bias Audit — Decision-Framing Agent Skill for Surfacing Bias Before It Hardens. Use it when the user needs a disciplined protocol and fixed output contract f...
使用说明 (SKILL.md)
Bias Audit — Decision-Framing Agent Skill for Surfacing Bias Before It Hardens
Use this skill when the task matches the protocol below.
Activation Triggers
- loaded or emotionally slanted questions
- false binary choices
- 'obvious' conclusions with weak evidence
- project, people, or pricing decisions driven by recent vivid examples
- cases where the wording is already nudging the answer
Core Protocol
Step 1: Capture the original framing
Quote or restate the request as it was given so the bias is visible.
Step 2: Identify the bias signals
Look for anchoring, framing effects, loss aversion, confirmation pressure, availability, and default-value distortion.
Step 3: Rewrite the question neutrally
Turn the loaded request into a cleaner assessment frame with fewer hidden assumptions.
Step 4: Surface missing evidence
Ask what counterevidence, baseline, or comparison is absent.
Step 5: Define decision criteria
Convert the conversation from emotional momentum into explicit criteria and a next action.
Output Contract
Always end with this six-part structure:
## Original Framing
[...]
## Bias Signals
[...]
## Neutral Reframe
[...]
## Missing Evidence
[...]
## Decision Criteria
[...]
## Recommended Next Step
[...]
Response Style
- Do not ridicule the user for being biased; make the bias legible.
- Name the likely distortion with concrete language.
- Prefer neutral restatements over vague calls for 'balance.'
- Reduce heat without removing urgency where urgency is real.
Boundaries
- It does not assume model failures share identical psychology with human bias.
- It does not replace domain evidence with abstract skepticism.
- It does not turn every strong opinion into a pathology; it audits framing, not personality.
安全使用建议
This skill is instruction-only and internally consistent with its stated purpose, so it has a low technical footprint. Before installing: (1) Note the skill will echo and restate user input as part of its audit—avoid feeding it sensitive PII or secrets. (2) The author/homepage are not provided; if provenance matters to you, prefer skills from known authors or ask the publisher for more information. (3) The skill allows implicit invocation (policy.allow_implicit_invocation: true) so it may run automatically in qualifying conversations; if you prefer only on-demand use, turn implicit invocation off. (4) Because it rewrites and reformats user content, review outputs for accuracy and domain-specific constraints before acting on them.
功能分析
Type: OpenClaw Skill
Name: bias-audit-clarkchenkai
Version: 1.0.0
The skill bundle is a purely instructional framework designed to help an AI agent identify and mitigate cognitive biases in user requests. It contains no executable code, no network or file system access requests, and no indicators of malicious intent or prompt injection attacks. All files, including SKILL.md and the configuration in agents/openai.yaml, are strictly aligned with the stated purpose of decision-framing and bias auditing.
能力评估
Purpose & Capability
Name, description, and included files describe a decision-framing/bias-audit protocol; there are no requested binaries, env vars, or installs that would be unnecessary for that purpose.
Instruction Scope
SKILL.md defines a narrow, well-scoped protocol (quote original framing, identify bias signals, neutral reframe, surface missing evidence, define decision criteria). It does not instruct the agent to read files, access credentials, or transmit data to external endpoints.
Install Mechanism
No install spec or code files that would write or execute downloaded artifacts; instruction-only skills have minimal on-disk footprint.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request secrets or unrelated service access.
Persistence & Privilege
The skill is not always-enabled (always: false). The agents/openai.yaml file sets policy.allow_implicit_invocation: true, which allows implicit invocation in contexts the host permits — this increases the chance the skill will be invoked automatically for qualifying prompts but is consistent with its purpose. If you do not want automatic invocation, disable implicit invocation in policy or platform settings.
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 bias-audit-clarkchenkai - 安装完成后，直接呼叫该 Skill 的名称或使用
/bias-audit-clarkchenkai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 of the Bias Audit skill.
- Provides a structured protocol for surfacing and reducing bias in decision framing.
- Activated by loaded, emotionally slanted, or poorly structured questions and decisions.
- Guides users through a 5-step audit: capture framing, identify bias, rewrite neutrally, surface missing evidence, define criteria.
- Ensures output follows a fixed six-part markdown structure.
- Emphasizes clear, respectful language and avoids ridiculing or pathologizing the user.
元数据
常见问题
Bias Audit 是什么？
Bias Audit — Decision-Framing Agent Skill for Surfacing Bias Before It Hardens. Use it when the user needs a disciplined protocol and fixed output contract f... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 153 次。
如何安装 Bias Audit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install bias-audit-clarkchenkai」即可一键安装，无需额外配置。
Bias Audit 是免费的吗？
是的，Bias Audit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Bias Audit 支持哪些平台？
Bias Audit 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 Bias Audit？
由 Cubic AI（@clarkchenkai）开发并维护，当前版本 v1.0.0。
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