What is daily-briefing?

An automated daily technology news briefing that collects information, removes repeated items, summarizes the new material, and turns it into an MP3 audio file. Its sources include GitHub, Hacker News, arXiv research papers, and weather data.

Use it to create dated text and audio briefings on a schedule, store the collected news, synthesize speech, and remove briefings older than seven days.

It reduces the work of checking several sources and preparing a daily summary. Keeping previous entries in a knowledge base helps avoid hearing the same news again.

daily-briefing — Skill for Claude Code and Codex by cosmicstack-labs

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 cosmicstack-labs/mercury-agent-skills --skill daily-briefing

Clone the repo

git clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skills

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/cosmicstack-labs/mercury-agent-skills/daily-briefing/github.svg)](https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/daily-briefing)

Your own site

<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/daily-briefing"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/daily-briefing/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/cosmicstack-labs/mercury-agent-skills/daily-briefing"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/daily-briefing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 836 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 71
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00836
Opus 5	$0.00018	$0.00418
Sonnet 5	$0.00007	$0.00167
Haiku 4.5	$0.00004	$0.00084

Measured 12d ago against content hash 0779ba52d3f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

daily-briefing 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.

categories/automation/daily-briefing/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Daily AI Audio Briefing

Automatically collect, deduplicate, summarize, and synthesize a daily tech briefing as a warm-voiced MP3 every morning.

Workspace

Collection script + summarization/TTS script
Output: briefing/YYYY-MM-DD.mp3 + .txt
Knowledge base: brain/news/YYYY-MM-DD/
Schedule: cron (recommended 8:30 AM)

Workflow

Collect — Scrape GitHub trending/rising, HN top/show/new, arXiv latest AI papers, weather
Deduplicate — Compare against brain/news/ existing entries
- New project → mark is_new
- Growth >30% → mark is_update
- Otherwise → discard
Ingest — Write new entries to brain/news/YYYY-MM-DD/
Summarize — AI composes briefing script from filtered JSON
Synthesize — TTS API → MP3 file
Cleanup — Delete briefings older than 7 days

Rules

Don't use shell-level file deletion (find -delete) — may trigger security scanners; use Python Path.unlink()
Don't assume cron environment has API keys loaded — export them before running scripts
Don't use inline python3 -c or heredocs in agent/cron mode — write to .py files first
Don't trust agent-reported "MP3 generated" — verify mtime with stat after TTS step
Don't let each source exceed 8 items — keeps briefing concise

Validation

Collection script runs successfully, all sources return data
After dedup, filtered items ≥ 3
Generated briefing text contains correct date (no placeholders)
MP3 mtime matches current time (TTS actually ran)

Pitfalls

Date placeholders not replaced (Fixed: 2026-05-12)

Symptom: Briefing shows "Year X Month X" instead of actual date
Root cause: Prompt didn't inject real date, AI made it up
Fix: Inject datetime.date.today() into summarization prompt

Wrong weather source (Fixed: 2026-05-12)

Symptom: Always reports wrong city/temperature format
Root cause: Source only provided real-time temp, no high/low
Fix: Switch to structured weather API with high/low temp

Read the full file on GitHub · 89 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.

12d ago First seen · 89 lines · 36 tokens per session scan A 0779ba52d3f2

Subscribe to this mod's changes

daily-briefing is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (470 stars, last pushed 17d ago), licensed MIT. It adds 36 tokens to every session and 836 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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