Superopen for Codex
codexSuperopen telemetry for Codex: sessions, tool calls, LLM turns with token usage, and cost rollups.
hooks
Superopen telemetry for Codex: sessions, tool calls, LLM turns with token usage, and cost rollups.
Ships a Codex manifest but no marketplace file, so Codex can't add it by name yet. Add it to a local marketplace (.agents/plugins/marketplace.json).
Plugin superopen in ishanjainn/superopen. Commands read from the repo's manifest — 10 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
so sessions hook --vendor=codex --event=SessionStart
so sessions hook --vendor=codex --event=UserPromptSubmit
so sessions hook --vendor=codex --event=PreToolUse
so sessions hook --vendor=codex --event=PostToolUse
so sessions hook --vendor=codex --event=Stop
so sessions refresh
so sessions hook --vendor=codex --event=SessionEnd
Superopen telemetry for Codex: sessions, tool calls, LLM turns with token usage, and cost rollups.
hooks
Local code graph, session memory, and harvest for Claude Code. The next session queries what this one already learned.
hooks
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Plugin analytics: hooks $.telemetry's two events, so a plugin logs an event or marks a feature's use as a first-party row, sent in batches with the session's own credential.
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
IoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware
5 skills · 1 command · 4 agents
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
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