morning-podcast

morning-podcast is a skill for Claude Code, Codex from THU-SAGE/syll. It costs 17 tokens per session (586 once invoked), scanned A, original, MIT.

A workflow that creates a short spoken morning news briefing as an audio file. It gathers a few technology, world, and market stories, rewrites them for narration, and adds a greeting and sign-off.

In plain words
What is it for?
Use it to collect current stories, summarize them in spoken form, and produce one audio morning update.
Why use it?
It turns selected news into a brief listening format instead of requiring the user to read several articles.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to collect current stories, summarize them in spoken form, and produce one audio morning update.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thu-sage/syll/morning-podcast
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 THU-SAGE/syll --skill morning-podcast
Clone the repo
git clone --depth 1 https://github.com/THU-SAGE/syll

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.

agentmods badge for morning-podcast

README.md
[![agentmods](https://agentmods.dev/badge/skills/thu-sage/syll/morning-podcast/github.svg)](https://agentmods.dev/skills/thu-sage/syll/morning-podcast)
Your own site
<a href="https://agentmods.dev/skills/thu-sage/syll/morning-podcast"><img src="https://agentmods.dev/badge/skills/thu-sage/syll/morning-podcast/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 morning-podcast

Your own site · 80×15
<a href="https://agentmods.dev/skills/thu-sage/syll/morning-podcast"><img src="https://agentmods.dev/badge/skills/thu-sage/syll/morning-podcast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 586 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 $0.00017 $0.00586
Opus 5.5 $0.00007 $0.00234
Sonnet 5.5 $0.00003 $0.00117
Haiku 4.5 $0.00002 $0.00059

Measured 2mo ago against content hash e295e4e6fdd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

morning-podcast 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 2mo 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.

syll/skills/morning-podcast/SKILL.md · 57 lines

What it actually says

Morning Podcast

Triggered either by the user saying "morning podcast" / "晨间播客" or by a cron job that runs this skill on a schedule. The output is a single audio file (via the speak tool) that the web frontend will auto-render as an <audio> element; if the job is delivering to a messaging channel, the MP3 travels along the outbound message.

Steps

  1. Collect stories. Use web_search to gather 3–5 items across tech, world, and markets. One or two searches is usually enough:

    web_search(query="今日科技头条", count=5)
    web_search(query="today world news", count=5)
    

    Skim titles/snippets, pick the most substantive stories, and drop anything paywalled or clickbait-y.

  2. Summarize in spoken form. For each story, write ~80–120 Chinese characters (or ~40 English words). No markdown. No URLs in the spoken body — reference the outlet by name instead. Rewrite headlines into natural narration ("今天…", "另一边…").

  3. Compose one script. Assemble a single continuous string:

    • Greeting using {{ghost_name}}, e.g. "{{ghost_name}} 早安播 报,今天是 X 月 Y 日。"
    • Item 1 → item N with short transitions.
    • Sign-off: "以上就是今天的晨间播报,{{user_name}},祝你有个顺 利的一天。"
  4. Call speak exactly once with the full script:

    speak(text="<full assembled script>")
    

    A single call yields the best prosody. Do not call speak per-item — concatenating multiple clips sounds choppy.

  5. Reply briefly. One sentence summarizing what's in the briefing (e.g. "今日播报已生成:科技 / 市场 / 国际 共 4 条"). The audio itself is attached through the tool result's media — you don't need to repeat the script in the reply.

Notes

  • Real tool name is web_search (not web.search) and speak.
  • If speak fails, fall back to a text-only briefing and tell the user why ("TTS unavailable: …").
  • Never include URLs in the TTS input — Volcengine reads them out character-by-character and it sounds terrible.
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. 2mo ago First seen · 57 lines · 17 tokens per session scan A e295e4e6fdd7

Subscribe to this mod's changes

morning-podcast is a skill published in the GitHub repository THU-SAGE/syll (304 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 586 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

morning-podcast compared with skills from other repositories

morning-podcast next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
morning-podcastTHU-SAGE/syllSkill3045mo agoMITA17Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code