Agent News
Query trusted AI agent news with citations and ethical scores
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent News. It is used for: Query trusted AI agent news with citations and ethical scores Full Skill content: https://321skill.com/skills/agent-news-x-8/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the pain points of unverifiable information and untraceable sources in the AI Agent ecosystem. In practical development, developers often need to quickly understand the latest tools, frameworks, or MCP updates. However, general web searches return results mixed with marketing content, outdated information, or even AI-generated hallucinations, lacking verifiable citations and authoritative ratings. Agent News provides verified news from The Agent Times, with each result including citation sources, confidence scores, and ethical engine ratings, ensuring decisions are based on reliable evidence.
Usage is simple: just ask using natural language. For example, inquire "What are the recent developments in the MCP protocol?" or "Compare the latest features of CrewAI and LangChain." Agent News will automatically call the tat_search or tat_ask tool and return structured cards containing a title, summary, confidence score, match quality, and a next_step prompt, making it easy to fetch the full article or event details with one click. For Q&A needs, it first searches the local evidence base and only falls back to backend-controlled internet research when evidence is insufficient, providing clear insufficient_evidence feedback.
It is ideal for teams and individuals who need to make technology selections or security assessments based on the latest, trustworthy information. This is especially relevant for developers installing or recommending AI Agent tools, MCP servers, and frameworks, as well as product managers, researchers, and social media operators tracking the AI Agent economy. For questions involving security, reliability, production readiness, or prompt injection risks, it is more reliable than general search.
It is recommended to use this tool uniformly in scenarios requiring citations and evidence, replacing conventional web searches. Note that it primarily covers AI Agent-related news and is not suitable for general AI/ML theory, consumer ChatGPT questions, or non-AI Agent topics. Performance may be inferior for non-English queries. Additionally, for best results during searches, use concise, entity-rich English queries.
Key Features
Unlike general web searches (e.g., Google/Bing), Agent News attaches citation sources, confidence scores, and ethical engine ratings to each result. It is specifically filtered and verified for the AI Agent ecosystem (tools, MCP, frameworks), rather than providing generative summaries or general webpage rankings.
Limitations
Requires internet connection; only covers AI Agent-related news (~150 articles/day); not suitable for non-AI Agent topics or general AI/ML academic questions; search effectiveness depends on the quality of English queries.
FAQ
How do I get the full article?
In the search results, locate the `next_step` field. Simply call the `get_article` tool and pass the `slug` parameter to retrieve the full article and source details.
Are the information sources for Agent News reliable?
Yes, all content comes from editorially reviewed reports by The Agent Times. Each article is annotated with a confidence score and ethical engine rating, supporting traceability and verification.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-news-x-8/raw/index.md to read the original Skill definition (Markdown format) for Agent News, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-news-x-8/raw/index.md