Auto Promote
xiaotonng/pikiloom
无人值守推广总入口。按 promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。
端到端 pipeline —— 抓 X/知乎/Bilibili AI 相关热门 → 整理成 wiki → 推送飞书日报. An agent skill from ChanningLua/prax-agent.
Install AI News Daily
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ChanningLua/prax-agent ai-news-daily --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/prax/skills/ai-news-daily .claude/skills/ai-news-daily && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .claude/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-dailyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ChanningLua/prax-agent ai-news-daily --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/prax/skills/ai-news-daily .agents/skills/ai-news-daily && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .agents/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ChanningLua/prax-agent ai-news-daily --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/prax/skills/ai-news-daily .cursor/skills/ai-news-daily && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .cursor/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ChanningLua/prax-agent.git --path src/prax/skills/ai-news-daily--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ChanningLua/prax-agent ai-news-daily --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/prax/skills/ai-news-daily .gemini/skills/ai-news-daily && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .gemini/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ChanningLua/prax-agent ai-news-dailyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/prax/skills/ai-news-daily .github/skills/ai-news-daily && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .github/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ChanningLua/prax-agent --skill ai-news-daily -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ChanningLua/prax-agent ai-news-daily --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ChanningLua/prax-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/prax/skills/ai-news-daily .opencode/skills/ai-news-daily && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-news-daily" agent skill from https://github.com/ChanningLua/prax-agent/tree/main/src/prax/skills/ai-news-daily into .opencode/skills/ai-news-daily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-news-daily", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-news-daily- GitHub stars
- 273
- Token cost
- ~1.3k tokens
- SKILL.md length
- 379 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
端到端 pipeline —— 抓 X/知乎/Bilibili AI 相关热门 → 整理成 wiki → 推送飞书日报. An agent skill from ChanningLua/prax-agent.
- Works in 8 steps: ：准备目录 → 6：解析推送通道（新增 — 0.5.5 起） → 5：加载源配置（新增 — 0.5.4 起） → …
- Tasks that involve Scheduled and recurring tasks
- SKILL.md covers 触发条件, 前置条件, Pipeline 步骤 and 失败处理, plus 2 more sections
- Calls python3, vault and python; reaches x.com
What it does
AI News Daily is an agent skill from ChanningLua/prax-agent. 端到端 pipeline —— 抓 X/知乎/Bilibili AI 相关热门 → 整理成 wiki → 推送飞书日报
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Scheduled and recurring tasks. It works with Bilibili and X (Twitter). The repository describes itself as: Self-improving agent runtime that learns from experience — test-verify-fix loops, correction detection, cross-project memory, multi-model orchestration. The licence is MIT.
When your agent uses it
- Tasks that involve Scheduled and recurring tasks
Example prompts
- “/ai-news-daily”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash, Read, Write, Glob, Grep, Notify
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 19d016b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteGlobGrepNotify
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3vaultpython
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
x.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI News Daily loads about 1.3k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 379 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, Glob, Grep, Notify
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ChanningLua/prax-agent at commit 19d016b, republished under its MIT licence (© ChanningLua). 379 words, ~1,343 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-news-daily/SKILL.md (or your agent's skills folder).- name
- ai-news-daily
- description
- 端到端 pipeline —— 抓 X/知乎/Bilibili AI 相关热门 → 整理成 wiki → 推送飞书日报
- allowed-tools
- Bash, Read, Write, Glob, Grep, Notify
- triggers
- ai-news, ai-news-daily, 每日简报, ai简报, daily digest, 日报
- tags
- pipeline, knowledge, daily, cron-ready
- priority
- 8
每日 AI 简报 Pipeline
一条命令从抓取到送达。把 browser-scrape、knowledge-compile、Notify 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"
或 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
先验证：
python3 -m prax.article_integrations probe，确认至少一个输入可用；- AutoCLI 可用时再运行
autocli doctor，用于登录态平台； TRENDRADAR_OUTPUT可读取时，可直接归一化 TrendRadar 的 Markdown、JSON 或 SQLite 输出；.prax/notify.yaml存在且包含目标通道；没配置时仍可生成本地简报，只跳过推送；- 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）。
AutoCLI 失败不再导致整条流水线停止；只有 TrendRadar、AutoCLI、已有 vault 和公开来源全部不可用时才停止。
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/$DATEStep 1：准备目录
mkdir -p $VAULT $VAULT/rawStep 1.6：解析推送通道（新增 — 0.5.5 起）
读 .prax/notify.yaml 取通道名，绝不硬编码 "daily-digest"。挑选规则（按优先级）：
- 若
.prax/cron.yaml里当前 job 的notify_channel在notify.yaml中存在 → 用它 - 否则取
notify.yaml.channels第一个wechat_personal类型的通道 - 否则取
notify.yaml.channels任意第一个通道 - 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）
读 .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）
遍历配置里 enabled: true 的每个 source（失败的单独记录，不要一错就整批停）：
| source id | autocli 命令 | 输出文件 |
|---|---|---|
twitter | autocli twitter timeline --limit <limit> --format json | $VAULT/raw/twitter-$DATE.json |
zhihu | autocli zhihu hot --limit <limit> --format json | $VAULT/raw/zhihu-$DATE.json |
bilibili | autocli bilibili hot --limit <limit> --format json | $VAULT/raw/bilibili-$DATE.json |
hackernews | autocli hackernews top --limit <limit> --format json | $VAULT/raw/hn-$DATE.json |
<limit> 取自配置；如果用户设置了别的 source id 但映射不到 autocli 命令，跳过它并在最终汇报里说明。
如果设置了 TRENDRADAR_OUTPUT，先执行：
python3 -m prax.article_integrations ingest-trendradar \
"$TRENDRADAR_OUTPUT" \
--json-out "$VAULT/raw/trendradar-$DATE.json"TrendRadar 与 AutoCLI 结果按 URL 和标题去重。TrendRadar 没有 URL 的热榜项只能做搜索线索，不能直接进入文章来源索引。
Show full SKILL.md (161 more words)Show less
Step 3：筛选 + 落盘为 markdown
从每个抓回来的 json 里：
- 用
keywords.include/keywords.exclude（来自 Step 1.5 配置或 DEFAULTS）过滤 - 按平台原生热度排序，取该 source 的
top_n条
每条存成一个 markdown 文件：
$VAULT/<source>-<id>.mdfrontmatter 必备：
---
source: twitter
id: 172xxxx
url: https://x.com/...
author: "..."
metric: "likes=1234"
scraped_at: 2026-04-22T17:00:00+08:00
---
# <原文标题或首句>
<正文，不加编辑加工>Step 4：编译 wiki（knowledge-compile 的步骤）
进入 $VAULT 跑 knowledge-compile 流程，产出：
$VAULT/index.md
$VAULT/daily-digest.md
$VAULT/topics/<slug>.md ...严格按 knowledge-compile 的约定（双链 [[...]]、一屏 digest、3-7 个主题）。
Step 5：推送（Notify）
读 $VAULT/daily-digest.md 内容，调 Notify 工具。channel 必须用 Step 1.6 解析出来的 CHANNEL，不要硬编码：
Notify(
channel = CHANNEL, # ← 来自 Step 1.6
title = "AI 日报 · " + DATE,
body = <daily-digest.md 的内容>, # 完整正文，让用户在微信里直接读
level = "info"
)如果 daily-digest.md 超过 2000 字，按主题截到 2000 字以内 + 末尾加 \n\n— 完整版见 $VAULT/index.md。微信单条消息 4096 字符上限，留余量给标题。
Step 6：汇报
最后回给用户一段：
- 抓了多少条（按来源分别列）
- 过滤后 AI 相关多少
- 编译出几个主题
$VAULT/index.md路径- Notify 是否成功（body 长度/exit code）
失败处理
| 阶段 | 失败表现 | 应对 |
|---|---|---|
| Step 2 某个源 | autocli 超时 / 非零退出 | 跳过这个源，记录在最终汇报里；不整体失败 |
| Step 2 全部失败 | 所有源都挂 | 尝试已有 vault；仍为空才停止并报告每个适配器状态 |
| Step 3 AI 过滤后为空 | 今天真没 AI 新闻 | 仍然产出 digest（"今日无显著 AI 动态"），正常推送 |
| Step 5 Notify 失败 | webhook 连不上 | 返回失败，但 wiki 已落盘，下次定时会覆盖 |
配合 cron
典型调度：
prax cron add \
--name ai-news-daily \
--schedule "0 17 * * *" \
--prompt "触发 ai-news-daily 技能" \
--session-id cron-ai-news \
--notify-on failure \
--notify-channel <你 notify.yaml 里的通道名>重要：notify-on 只填 failure，绝不要 success。理由：
- 成功时 Step 5 已经把日报正文推到微信了 — 这才是用户真正想要的
- 如果
notify-on还包含success，cron dispatcher 会在 skill 之外额外发一条 dev-speak 状态 ping（"job: xxx, schedule: xxx, log: xxx"），用户看不懂还会以为日报跑两遍 - 留
failure是兜底：当 skill 整体崩了（连 Step 5 都没跑到），dispatcher 至少能告诉用户"今天没成"
不做的事
- 不发帖、不点赞、不关注（即使用户抓推文后随口说"帮我转一下"——需要用户明确再次确认）
- 不翻译（保留原文语言）
- 不做二次评论或加观点（保持中立归档）
- 不抓订阅源以外的站点（如果用户要新源，修改 Step 2）
© ChanningLua, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in src/prax/skills/ai-news-daily of ChanningLua/prax-agent.
Open the folder on GitHubat commit 19d016b
Compare with similar skills
AI News Daily next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI News Daily this skillChanningLua/prax-agent | 273 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Auto Promotexiaotonng/pikiloom | 294 | — | ~629 | Automated safety check: Notes | MIT | |
| X Bookmarkssharbelxyz/x-bookmarks | 289 | — | ~2k | Automated safety check: Notes | None | |
| Agent ReachEdisonChenAI/agent-reach | 115 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Viral Titlekangarooking/kangarooking-skills | 662 | — | ~1.7k | Automated safety check: Pass | None | |
| Html5 Game Radarkennyzir/7deer_skills | 322 | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Works with
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Questions about AI News Daily
What does AI News Daily do?
端到端 pipeline —— 抓 X/知乎/Bilibili AI 相关热门 → 整理成 wiki → 推送飞书日报. An agent skill from ChanningLua/prax-agent. AI News Daily is an agent skill from ChanningLua/prax-agent.
When should I use AI News Daily?
AI News Daily fits situations like: tasks that involve Scheduled and recurring tasks.
How do I install AI News Daily in Claude Code?
Run `npx skills add ChanningLua/prax-agent --skill ai-news-daily -a claude-code`. Or copy the skill folder (src/prax/skills/ai-news-daily in ChanningLua/prax-agent) into .claude/skills/ai-news-daily in your project. Claude Code loads it when a task matches its description.
How do I install AI News Daily in Codex?
Run `npx skills add ChanningLua/prax-agent --skill ai-news-daily -a codex`. Or copy the skill folder (src/prax/skills/ai-news-daily in ChanningLua/prax-agent) into .agents/skills/ai-news-daily in your project. Codex loads it when a task matches its description.
Can I use AI News Daily in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ChanningLua/prax-agent --skill ai-news-daily -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-news-daily, .gemini/skills/ai-news-daily, .github/skills/ai-news-daily and .opencode/skills/ai-news-daily in your project.
What does AI News Daily need to run?
Going by SKILL.md and its folder, AI News Daily needs the command-line tools its instructions call (python3, vault and python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Glob, Grep, Notify.
Does AI News Daily access the network?
SKILL.md names 1 domain. In commands or code: x.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is AI News Daily safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does AI News Daily use?
AI News Daily is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI News Daily use?
About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI News Daily?
Skills that share tags, products or a category with AI News Daily: Auto Promote (xiaotonng/pikiloom, 294 stars), X Bookmarks (sharbelxyz/x-bookmarks, 289 stars), Agent Reach (EdisonChenAI/agent-reach, 115 stars) and Viral Title (kangarooking/kangarooking-skills, 662 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI News Daily?
ChanningLua (a GitHub user) maintains it in ChanningLua/prax-agent, which has 273 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 11, 2026.
Source: ChanningLua/prax-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.