Skill audit report

ChatLM Mini Chinese audit report.

中文对话0.2B小模型(ChatLM-Chinese-0.2B),开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调,给出三元组信息抽取微调示例。

REVIEWED · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
75
Audit
82
Trust
73
Quality
97
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

82
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

1.7K GitHub stars

Recent maintenance

FAIL

22

2y since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add charent/ChatLM-mini-Chinese

Repository evidence

PASS

86

https://github.com/charent/ChatLM-mini-Chinese

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

92

PASS

npx skills add charent/ChatLM-mini-Chinese

Repository

88

PASS

https://github.com/charent/ChatLM-mini-Chinese

License

86

PASS

Apache-2.0

Maintenance

20

FIX

2y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

1.7K GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y 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.

Compare nearby options

Related skills to audit next