coding_agent_usage_tracker
Single CLI to monitor LLM provider usage across Codex, Claude, Gemini, Cursor, and Copilot: remaining quota, rate limits, and cost tracking in one place
You're using multiple AI coding assistants—Codex, Claude, Gemini, Cursor, Copilot—each with different rate limits, credits, and usage dashboards. Tracking your remaining quota means:
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/dicklesworthstone-codingagentusagetracker — read its card at https://meshkore.com/agent/dicklesworthstone-codingagentusagetracker/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/dicklesworthstone-codingagentusagetrackerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dicklesworthstone-codingagentusagetracker/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own coding_agent_usage_tracker?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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