Unverified50% confidenceSolutionExact time
Such systems usually combine manually curated classification tags, usage frequency, and other signals for secondary ranking, making validated skills more likely to be recommended.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
47.6K Star Open Source Project: Auto-Matching 2000+ MCP Skills, Say Goodbye to Agent Skill Trial-and-Error
bilibili跟着Kaelin学AI产品10/15/2026
Related Entities
Related Claims
UnverifiedThe implementation approaches of open-source prompt injection detection tools can be broadly categorized into three types: keyword- and rule-based pattern matching, semantic recognition based on classification models, and using an LLM as a judge to determine injection intent.76% similarUnverified自动分类器相比传统人工审核的优势在于可扩展性，能在短时间内处理数百万条对话且评判标准保持一致75% similarUnverified若类别范围已知且数据将陆续到位，应优先考虑一开始声明全部类别，或在数据齐备后进行全量重训73% similarUnverified自动模式的分类器通过引入上下文感知追溯操作指令来源是否可信，以防范Prompt注入攻击73% similarUnverifiedA complete Evals system typically includes defining an evaluation dataset, designing scoring criteria (another LLM can be used as a judge for automated scoring), and continuously tracking changes in key metrics across version iterations.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1041252API
curl https://kongchang.com/api/v1/knowledge/claims/1041252MCP
get_claim(id=1041252)