Octos is a self-hosted AI assistant that runs on a user's computer and can connect to different AI providers, execute code, browse the web, remember information, schedule jobs, and create documents through browser, terminal, and messaging interfaces. The catalogue entries extend or configure this assistant's workflows.
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 octos-org/octos --skill newsgit clone --depth 1 https://github.com/octos-org/octosWrote 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/octos-org/octos/news)<a href="https://agentmods.dev/skills/octos-org/octos/news"><img src="https://agentmods.dev/badge/skills/octos-org/octos/news/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/octos-org/octos/news"><img src="https://agentmods.dev/badge/skills/octos-org/octos/news.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 | $0.00001 | $0.00676 |
| Opus 5 | $0.00000 | $0.00338 |
| Sonnet 5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
news 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
News Digest Skill
You have a news_fetch tool that fetches raw news headlines and article content from multiple sources (Google News RSS, Hacker News API, Yahoo News, Substack, Medium). Use it to build daily news digests for the user.
How to use
- Call the
news_fetchtool with the desired categories and language. - The tool returns raw headlines organized by category, plus deep-fetched full article content for the top stories.
- You synthesize the raw data into a well-structured news digest. The tool does NOT do any summarization -- that is your job.
Tool parameters
-
categories(optional, array of strings): Which news categories to fetch. If empty or omitted, all categories are fetched. Available categories:politics-- US politicsworld(alias:international) -- International newsbusiness(alias:commerce) -- Business and financetechnology(alias:tech) -- Technologyscience-- Scienceentertainment(alias:social) -- Entertainment and societyhealth-- Healthsports-- Sports
-
language(optional, string): Output language hint,"zh"(Chinese, default) or"en"(English). This tells you what language to write the digest in; the fetched content is always in English.
Example call
{
"categories": ["tech", "world"],
"language": "zh"
}
Synthesis instructions
When you receive the raw data from news_fetch, synthesize it into a digest following these rules:
- Use the language specified (Chinese by default, English if
"en"). - Start with a title:
# 每日新闻速递 YYYY-MM-DD(or# Daily News Digest YYYY-MM-DDfor English). - Group stories by category with clear headers.
- For stories that have full article content (in the
FULL ARTICLE CONTENTsection), write detailed 2-3 sentence summaries. - For headline-only stories, write 1 sentence summaries based on the headline.
- Deduplicate stories that appear across multiple sources.
- Skip ads, navigation text, and cookie notices from the raw content.
- Include 5-10 most important stories per category.
- For Hacker News items, prioritize high-score stories.
- Use markdown formatting throughout.
What ships with it
3 files 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.
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 · 71 lines · 1 tokens per session scan A 850eaf88c282
news is a skill published in the GitHub repository octos-org/octos (1,038 stars, last pushed yesterday), licensed Apache-2.0. It adds 1 tokens to every session and 676 once invoked, about $0.0000 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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