bias-auditor
当用户说『AI回答有偏见』『输出性别/地域/年龄刻板印象』『怎么检测模型偏见』『内容要过公平审查』，或在发布面向人群的内容(招聘/推荐/客服/评测)前想做公平性自检时使用。把模型输出当『带视角的生产物』：扫人口群体词·刻板表述·单边归因，标出潜在偏见并给去偏改写建议。理论根基：LGD 三律（有籍·有证·有门禁）。触发词：偏见检测、bias audit、公平性、刻板印象、AI歧视、内容审查、公平自检、stereotype。
as observed 2026-09-29T04:47:03.526Z- Identifier
bias-auditor- Source
- ClawHub
- Version observed
- 1.0.3
- Source repository
- not published
- Repository observation
- No source repository listed
- First observed here
- 2026-09-12T14:17:54.398Z
- Observations recorded
- 3
- Installs (reported upstream)
- 1
- Weekly downloads (upstream)
- 220
- Declared license
- MIT-0
Observation history
2026-09-29T04:47:03.526Z
Fields that differed: changelog latestVersion
| Field | Before | After |
|---|---|---|
changelog |
"Bias Auditor skill version 1.2.0 introduces features and clear scopes for AI-generated content bias checking.\n\n- Provides a standardized method for auditing population group ter | "权利层第 3 轮：① §3.2 权属宣告统一块归一——清除块内他资产事实（此前误填 uibc-core 的 DOI / commit cb6f11b / Sigstore Rekor 锚），改按本资产真值填写；② 技能件许可口径过授权清除——理论文本由 CC BY 4.0 改为「保留所有权利」，.py 依 §3.2 标 MIT；③ 保留分层许可：代码 MI |
latestVersion |
"1.0.0" | "1.0.3" |
2026-09-17T19:21:47.094Z
Fields that differed: license description
| Field | Before | After |
|---|---|---|
license |
null | "MIT-0" |
description |
"当用户说『AI回答有偏见』『输出性别/地域/年龄刻板印象』『怎么检测模型偏见』『内容要过公平审查』，或在发布面向人群的内容(招聘/推荐/客服/评测)前想做公平性自检时使用。把模型输出当『带视角的生产物』：扫人口群体词·刻板表述·单边归因，标出潜在偏见并给去偏改写建议。理论根基：LGD 三律（有籍·有证·有门禁）。触发词：偏见检测、bias audit、公平 | null |
Correction
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