ai-news-daily

ai-news-daily is a skill for Claude Code from ChanningLua/prax-agent. It costs 34 tokens per session (2,262 once invoked), scanned A, original, MIT.

An automated daily pipeline for collecting popular AI-related posts from X, Zhihu, and Bilibili, organizing them into a wiki, and sending a Feishu briefing. Feishu is a workplace messaging and collaboration platform.

In plain words
What is it for?
Use it to run a daily AI news digest manually or on a schedule. It saves raw material and the day's wiki entry, then sends the digest through a configured Feishu channel.
Why use it?
It removes the repeated work of gathering news, summarizing it, saving it, and delivering it to a chosen channel. It also checks required settings and reports when delivery is unavailable.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to run a daily AI news digest manually or on a schedule. It saves raw material and the day's wiki entry, then sends the digest through a configured Feishu channel.

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Install with agentmods
npx agentmods add skills/channinglua/prax-agent/ai-news-daily
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 ChanningLua/prax-agent --skill ai-news-daily
Clone the repo
git clone --depth 1 https://github.com/ChanningLua/prax-agent

Made for: Claude Code.

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.

agentmods badge for ai-news-daily

README.md
[![agentmods](https://agentmods.dev/badge/skills/channinglua/prax-agent/ai-news-daily/github.svg)](https://agentmods.dev/skills/channinglua/prax-agent/ai-news-daily)
Your own site
<a href="https://agentmods.dev/skills/channinglua/prax-agent/ai-news-daily"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/ai-news-daily/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.

agentmods 80×15 button for ai-news-daily

Your own site · 80×15
<a href="https://agentmods.dev/skills/channinglua/prax-agent/ai-news-daily"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/ai-news-daily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,262 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.02262
Opus 5 $0.00017 $0.01131
Sonnet 5 $0.00007 $0.00452
Haiku 4.5 $0.00003 $0.00226

Measured 10d ago against content hash 448cf5e79735, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-news-daily 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 10d 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.

src/prax/skills/ai-news-daily/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

每日 AI 简报 Pipeline

一条命令从抓取到送达。把 browser-scrapeknowledge-compileNotify 三个技能串成闭环。适合挂 prax cron

触发条件

用户说:

  • "跑今天的 AI 日报 / ai-news-daily"
  • "生成 X 推文摘要推到飞书"

prax cron 调度到期。

重要 — 不要递归 shell out:你已经被这个 skill 触发了。直接按下面的 Step 1-6 自己执行,不要再 python -m praxdaily run-now / prax prompt "..." / prax cron run 之类把同样的事情又派出去 —— 那会无限递归 + 把 permission-mode 重置回默认。autocli / Bash 命令直接用 Bash 工具跑就行。

前置条件(不满足就停)

先验证:

  1. autocli doctor → 全绿(浏览器抓取依赖)
  2. .prax/notify.yaml 存在且包含目标通道(默认 daily-digest)——没配就明确告诉用户先配,不要继续抓
  3. 当前时间合理(不要对凌晨 3 点的时间跑"今日"简报,除非用户说明)

验证失败:返回一条简要说明即可停止,不要继续

Pipeline 步骤

变量

DATE  = 今天的日期(YYYY-MM-DD,按用户本地时区)
VAULT = .prax/vault/ai-news-hub/$DATE

Step 1:准备目录

mkdir -p $VAULT $VAULT/raw

Step 1.6:解析推送通道(新增 — 0.5.5 起)

.prax/notify.yaml 取通道名,绝不硬编码 "daily-digest"。挑选规则(按优先级):

  1. .prax/cron.yaml 里当前 job 的 notify_channelnotify.yaml 中存在 → 用它
  2. 否则取 notify.yaml.channels 第一个 wechat_personal 类型的通道
  3. 否则取 notify.yaml.channels 任意第一个通道
  4. 都没有 → 在 Step 6 的汇报里明确告诉用户"未推送(无可用通道)",但 wiki 已落盘的事实仍要写

把选中的 channel 名字记成 CHANNEL,给 Step 5 用。

Step 1.5:加载源配置(新增 — 0.5.4 起)

.prax/sources.yaml,若不存在或字段缺失就用 DEFAULTS 兜底。配置完整 schema:

# 每个 source 都是可选 enable / 可改 limit
sources:
  - id: twitter         # 已知 id:twitter / zhihu / bilibili / hackernews
    enabled: true
    limit: 50           # autocli 抓取条数(拉得多但下面只过滤前 N 条)
    top_n: 10           # 关键词过滤后保留 top N(按平台原生热度)
  - id: zhihu
    enabled: true
    limit: 30
    top_n: 10
  - id: bilibili
    enabled: true
    limit: 20
    top_n: 5
  - id: hackernews
    enabled: true
    limit: 20
    top_n: 10

# 关键词过滤:必须命中 include 之一,且不命中任何 exclude
keywords:
  include: [AI, LLM, GPT, Claude, 模型, 智能体, agent, RAG, 推理, 微调, transformer]
  exclude: []           # 比如 [广告, 推广] 用来去噪

DEFAULTS = 上面这份完整配置(即 .prax/sources.yaml 不存在时的行为,跟 0.5.4 之前完全一致)。

GUI 用户通常通过 praxdaily Sources 屏写这个文件,命令行用户也可以手写。

Step 2:抓取(browser-scrape 的风格)

Read the full file on GitHub · 208 lines

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.

  1. 10d ago First seen · 208 lines · 34 tokens per session scan A 448cf5e79735

Subscribe to this mod's changes

ai-news-daily is a skill published in the GitHub repository ChanningLua/prax-agent (272 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 2,262 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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