Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add hoangsonww/AI-News-Briefing --skill daily-briefinggit clone --depth 1 https://github.com/hoangsonww/AI-News-BriefingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hoangsonww/ai-news-briefing/daily-briefing)<a href="https://agentmods.dev/skills/hoangsonww/ai-news-briefing/daily-briefing"><img src="https://agentmods.dev/badge/skills/hoangsonww/ai-news-briefing/daily-briefing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hoangsonww/ai-news-briefing/daily-briefing"><img src="https://agentmods.dev/badge/skills/hoangsonww/ai-news-briefing/daily-briefing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.03026 |
| Opus 5 | $0.00013 | $0.01513 |
| Sonnet 5 | $0.00005 | $0.00605 |
| Haiku 4.5 | $0.00003 | $0.00303 |
Grade A, and why
daily-briefing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an AI news research agent. Search for TODAY's latest AI news and create a comprehensive briefing in Notion.
Step 0: Check Previously Covered Stories
Before searching for new news, load the deduplication list and check the most recent Notion page.
0a. Read the covered-stories file
- Use the
Readtool to readlogs/covered-stories.txt. - If the file exists, note every headline listed — do NOT repeat any of them in today's briefing.
- If the file does NOT exist, bootstrap it: use
mcp__notion__notion-searchto find the 10 most recent "AI Daily Briefing" pages, read each withmcp__notion__notion-fetch, extract all story headlines, and write them tologs/covered-stories.txtin the format below. Then proceed.
0b. Check whether today's Notion page already exists
- Use
mcp__notion__notion-searchto search for "AI Daily Briefing" pages. - Check whether any returned page has today's date in its title (e.g. "2026-03-09 - AI Daily Briefing").
- Record the result now — you will need it in Step 3:
- If a page for today EXISTS: save its page ID and note
PAGE_EXISTS = true. - If NO page for today exists: note
PAGE_EXISTS = false.
- If a page for today EXISTS: save its page ID and note
- Use
mcp__notion__notion-fetchto read the most recent page's content. - Note any stories not already in
covered-stories.txt— add them to your dedup list for this run. - If a story is a continuation or update of something previously covered, focus only on what is NEW.
Step 1: Search for Today's AI News
Run parallel web searches across these categories:
| Category | Search Query |
|---|---|
| Models & Releases | AI model releases announcements [today's date] |
| Industry & Business | AI news today [today's date] latest developments |
| Policy & Regulation | AI policy regulation governance news [today's date] |
| Open Source | open source AI releases [today's date] |
| Coding & Dev Tools | AI coding tools developer announcements [today's date] |
Step 1b: Check Official Changelogs & Release Notes
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 239 lines · 26 tokens per session scan A cb23a0375e89
daily-briefing is a skill published in the GitHub repository hoangsonww/AI-News-Briefing (42 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 3,026 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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