agentsight – Low‑overhead AI Agent Tracing with eBPF
From the repo · “system-level profiler/monitor and skills for Agents in eBPF or Mac”
You create a system-level AI tracing tool using eBPF to understand how AI agents work.
"A founder wants to ensure that the AI-powered customer support chatbot on their website is working fairly for all users. They use agentsight to trace the flow of customer information through the AI system, identify biases, and make adjustments accordingly."
- •When you need to troubleshoot performance issues in your AI system without modifying the code
- •When you want to gain a deeper understanding of how your AI agents interact with the system
- •When you need to identify bottlenecks in your AI workflow
sudo ./agentsight start -f ./examples/config.yaml -o ./output
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/agentsight && curl -fsSL https://workflowstacks.com/api/skills/agentsight/claude-skill -o ~/.claude/skills/agentsight/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/agentsight && curl -fsSL https://workflowstacks.com/api/skills/agentsight/claude-skill -o ~/.claude/skills/agentsight/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
AI Support Agent (Chat)
A chat agent that answers customer questions from YOUR business info — with conversation memory. It never invents policies; anything it doesn't know, it hands to a human.
Outcome guideScore your leads by ideal-customer fit
You describe your ideal customer once and keep leads in a Google Sheet. The workflow scores each 1–5 for fit with a one-line reason, so you sort and work the best first.
Outcome guideAutomate replies to your customer reviews
The workflow reads your reviews and drafts a personalized reply for each: warm thanks for happy customers, careful and de-escalating for unhappy ones. Nothing posts automatically — you approve every draft.
Related skills
More ai-evals tools founders pair with this one.