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tomsun28

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Show HN: Fakekey – never expose real API keys in the agent environment

github.com
2 points·by tomsun28·قبل 3 أشهر·0 comments

Agent API Spec Design: When API Callers Change from Application to AI Agent

github.com
2 points·by tomsun28·قبل 4 أشهر·2 comments

Show HN: AgentShield, The missing safety layer for Cowork and AI Agents

github.com
1 points·by tomsun28·قبل 6 أشهر·0 comments

Apache HertzBeat Graduates as an Apache Top-Level Project

hertzbeat.apache.org
4 points·by tomsun28·قبل 10 أشهر·0 comments

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tomsun28
·قبل 4 أشهر·discuss
In current AI Agent development, we are used to feeding context to Agents using Skills, Tools, MCP, or Prompts.

As agent tools continue to evolve, the initial hype around MCP has cooled down. While it standardizes how APIs are called, it also makes things more complex. It requires clients that support its protocol, and the server needs a matching protocol implementation. If it's just wrapping a bunch of API endpoints, why not just write code to call those APIs directly? Skill is a better alternative for this. More importantly, it provides instruction manuals that models can easily understand....