advanced-evaluation
Equips users with advanced techniques for evaluating AI-generated content, focusing on bias mitigation and quality standards.
Install this skill
or
96/100
Security score
The advanced-evaluation skill was audited on Feb 9, 2026 and we found 4 security issues across 1 threat category. Review the findings below before installing.
Categories Tested
Security Issues
low line 436
External URL reference
SourceSKILL.md
| 436 | - [Eugene Yan: Evaluating the Effectiveness of LLM-Evaluators](https://eugeneyan.com/writing/llm-evaluators/) |
low line 437
External URL reference
SourceSKILL.md
| 437 | - [Judging LLM-as-a-Judge (Zheng et al., 2023)](https://arxiv.org/abs/2306.05685) |
low line 438
External URL reference
SourceSKILL.md
| 438 | - [G-Eval: NLG Evaluation using GPT-4 (Liu et al., 2023)](https://arxiv.org/abs/2303.16634) |
low line 439
External URL reference
SourceSKILL.md
| 439 | - [Large Language Models are not Fair Evaluators (Wang et al., 2023)](https://arxiv.org/abs/2305.17926) |
Scanned on Feb 9, 2026
View Security DashboardGitHub Stars 106
Rate this skill
Categorymarketing
UpdatedMay 21, 2026
openclawmarketing-analystproduct-managerdata-scientistgrowth-marketerux-designermarketingproductdata analyticsdesign
majiayu000/claude-skill-registry