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Skill audit report

Nlp Xiaojiang audit report.

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

REVIEWED · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
74
Audit
81
Trust
72
Quality
96
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

81
Strong shortlist

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.5K GitHub stars

Recent maintenance

FAIL

22

5y since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add yongzhuo/nlp_xiaojiang

Repository evidence

PASS

86

https://github.com/yongzhuo/nlp_xiaojiang

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

92

PASS

npx skills add yongzhuo/nlp_xiaojiang

Repository

88

PASS

https://github.com/yongzhuo/nlp_xiaojiang

License

86

PASS

MIT

Maintenance

20

FIX

5y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Adoption

88

PASS

1.5K GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 5y since push

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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