AI News Briefing
codexAI News tracking, deep research, Notion/Teams/Slack publishing, and a 5-axis LLM-as-judge quality eval harness for Codex.
11 skills · 3 agents · 2 MCP servers
AI news tracking, deep research agents, Notion/Teams/Slack publishing, and a 5-axis LLM-as-judge quality eval harness with offline dashboard.
Plugin ai-news-briefing from marketplace ai-news-briefing-ecosystem in hoangsonww/AI-News-Briefing. Commands read from the repo's manifest — 25 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.
custom-briefDeep-research a specific topic and produce a comprehensive news-focused briefing with optional Notion/Obsidian/Teams/Slack publishing
daily-briefingSearch for today's latest AI news and create/update a comprehensive briefing in Notion, with optional Obsidian vault publishing for graph visualization
eval-backfillRun 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-dashboardBuild 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-driftDetect 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-regressionRe-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-reportEmit 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-scoreJudge 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-checkRun the system health check to verify the AI News Briefing setup and configuration.
summarize-urlFetch and summarize a specific URL for quick insights.
trigger-briefingTrigger the daily AI News Briefing manually.
deep-researcherA specialized agent for conducting exhaustive deep-dives on complex technical and industry topics.
news-analystA specialized agent for editing, fact-checking, and formatting AI news briefings with a critical journalistic eye.
quality-judgeEditorial 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.
notionruns: npx -y @modelcontextprotocol/server-notion
fetchruns: uvx mcp-server-fetch
echo "$(date -u +%FT%TZ) Notion page created." >> logs/notion-publish-audit.log
jq -r '.tool_input.file_path // empty' | grep -E 'logs/[0-9]{4}-[0-9]{2}-[0-9]{2}-card\.json$' | while read -r f; do date=$(basename "$f" -card.json); python3 eval/runner.py score --date "$date" --jud
AI News tracking, deep research, Notion/Teams/Slack publishing, and a 5-axis LLM-as-judge quality eval harness for Codex.
11 skills · 3 agents · 2 MCP servers
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