What is ai-newsletters?

A workflow for collecting AI newsletter items, removing repeated stories, ranking them, and producing a daily digest from RSS feeds, which are web feeds that publish updates.

Use it to fetch newsletter content, select notable AI and productivity stories, and save a dated digest with its source data.

It reduces the time spent checking multiple newsletters and sorting duplicate or less relevant items.

ai-newsletters — Skill for Claude Code and Codex by MarsZ42

Install

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.

Any agent

npx skills add MarsZ42/OrbitOS --skill ai-newsletters

Clone the repo

git clone --depth 1 https://github.com/MarsZ42/OrbitOS

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/marsz42/orbitos/ai-newsletters/github.svg)](https://agentmods.dev/skills/marsz42/orbitos/ai-newsletters)

Your own site

<a href="https://agentmods.dev/skills/marsz42/orbitos/ai-newsletters"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/ai-newsletters/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/marsz42/orbitos/ai-newsletters"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/ai-newsletters.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 515 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00035	$0.00515
Opus 5	$0.00017	$0.00258
Sonnet 5	$0.00007	$0.00103
Haiku 4.5	$0.00003	$0.00052

Measured 12d ago against content hash 2b689dd9898d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-newsletters 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 12d 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.

CN/.agents/skills/ai-newsletters/SKILL.md · 56 lines

What it actually says

Fetch, deduplicate, and rank AI newsletter content into a daily digest.

RSS Sources

TLDR AI: https://bullrich.dev/tldr-rss/ai.rss
The Rundown AI: https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml

Workflow

Check cache: Look for 50_资源/Newsletters/YYYY-MM/YYYY-MM-DD-摘要.md. If exists with today's date, return cached content.
Fetch feeds: Use WebFetch on both RSS URLs. Extract title, link, pubDate, description for each item.
Deduplicate: Merge items with similar titles (80%+ word overlap). Keep longer description, track both sources.
Rank items by:
- AI relevance (LLM, GPT, Claude, agents, ML keywords)
- Productivity relevance (workflow, automation, tools, PKM)
- Recency (newer = higher)
- Novelty (check recent archives, penalize repeats)
Generate digest: See TEMPLATE.md for format. Include:
- 精选推荐 (3-5 highest scoring) with content creation angles
- AI动态 section
- 生产力工具 section
- Stats footer
Save files:
- 50_资源/Newsletters/YYYY-MM/YYYY-MM-DD-摘要.md (curated)
- 50_资源/Newsletters/YYYY-MM/原始数据/YYYY-MM-DD_TLDR-AI-Raw.md
- 50_资源/Newsletters/YYYY-MM/原始数据/YYYY-MM-DD_Rundown-AI-Raw.md

Output Format

Manual invocation: Display full digest with all sections.

From /start-my-day: Return condensed list:

**内容机会 (5):**
- [标题] - [角度]
...
完整摘要: [[YYYY-MM-DD-摘要]]

Error Handling

One feed down: Continue with other, note in digest
Both down: Use yesterday's archive with warning
Empty feeds: Create minimal digest noting "今日无新内容"

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

TEMPLATE.md 1.1 KB

Changes

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.

12d ago First seen · 56 lines · 35 tokens per session scan A 2b689dd9898d

Subscribe to this mod's changes

ai-newsletters is a skill published in the GitHub repository MarsZ42/OrbitOS (970 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 515 once invoked, about $0.0002 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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