codex

AI News Briefing

AI News tracking, deep research, Notion/Teams/Slack publishing, and a 5-axis LLM-as-judge quality eval harness for Codex.

45 on GitHubby Son Nguyenv1.1.0MITupdated 26 days agoProductivity

Plugin ai-news-briefing-codex in hoangsonww/AI-News-Briefing. Commands read from the repo's manifest — 25 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (11)

  • custom-brief

    Deep-research a specific topic and produce a comprehensive news-focused briefing with optional Notion/Obsidian/Teams/Slack publishing

  • daily-briefing

    Search for today's latest AI news and create/update a comprehensive briefing in Notion, with optional Obsidian vault publishing for graph visualization

  • eval-backfill

    Run the eval harness against every card under example-cards/ in parallel and persist scores to eval/store.sqlite. Use when the user asks to "backfill", "score everything", or "score all cards" for quality eval.

  • eval-dashboard

    Build the interactive offline eval dashboard (eval/dashboard/index.html) — Chart.js trend, axis radar, composite histogram, per-card stacked bars, sortable card table. Use when the user wants to "see eval results", "open dashboard", "visualize quality", or "compare cards".

  • eval-drift

    Detect quality drift in published briefings by comparing the trailing-7d median composite score against the trailing-30d median (MAD-scaled). Use when the user asks to "check drift", "compare last week to baseline", or "is briefing quality slipping".

  • eval-regression

    Re-judge every pinned golden card in eval/golden/ and fail if any composite has dropped more than 0.5 points vs its baseline. Use when the user asks to "run regression", "check golden set", or wants CI-style quality gating after a prompt or judge change.

  • eval-report

    Emit a Markdown weekly digest of briefing quality scores (coverage, composite stats, axis medians, per-day table). Use when the user asks for a "weekly report", "eval summary", or "quality digest" for a specific date range.

  • eval-score

    Judge a single AI News Briefing card against the 5-axis quality rubric (factuality, novelty, source diversity, signal density, coherence) and persist the score. Use when the user asks to "score", "judge", "evaluate", or "rate" a briefing for a specific date.

  • health-check

    Run the system health check to verify the AI News Briefing setup and configuration.

  • summarize-url

    Fetch and summarize a specific URL for quick insights.

  • trigger-briefing

    Trigger the daily AI News Briefing manually.

Subagents (3)

  • deep-researcher

    A specialized agent for conducting exhaustive deep-dives on complex technical and industry topics.

  • news-analyst

    A specialized agent for editing, fact-checking, and formatting AI news briefings with a critical journalistic eye.

  • quality-judge

    Editorial reviewer agent that scores AI News Briefing cards on the 5-axis quality rubric (factuality, novelty, source diversity, signal density, coherence). Activate when the user wants a strict, structured assessment of a briefing's quality with concrete per-axis reasoning and actionable fixes.

MCP servers (2)

  • notion

    runs: npx -y @modelcontextprotocol/server-notion

  • fetch

    runs: uvx mcp-server-fetch

View source on GitHub hoangsonww.github.io

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