Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sonichi/sutandonpx agentmods add skills/sonichi/sutando/morning-briefingWrote 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/sonichi/sutando/morning-briefing)<a href="https://agentmods.dev/skills/sonichi/sutando/morning-briefing"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/morning-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.
<a href="https://agentmods.dev/skills/sonichi/sutando/morning-briefing"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/morning-briefing.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 | $0.00028 | $0.01394 |
| Opus 5 | $0.00014 | $0.00697 |
| Sonnet 5 | $0.00006 | $0.00279 |
| Haiku 4.5 | $0.00003 | $0.00139 |
Grade A, and why
morning-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 11d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Morning Briefing
Generate a prioritized daily briefing from all your channels.
Usage: /morning-briefing
ARGUMENTS: $ARGUMENTS
What to gather
Step 0 — Calendar cache. CONDITIONAL: Google-calendar hosts only.
src/morning-briefing.py cannot reach the owner's Google Workspace calendar; it reads a cache the
agent writes. Omitting this is silent: the briefing reports "couldn't read your calendar", or
falls back to a local macOS Calendar read that stalls and can miss the work account entirely. Pull
today's local-day events from the Google connector, then:
echo '[{"raw":"9:00-9:30am 1:1 w/ Sam","calendar":"work"}]' | python3 src/write_calendar_cache.py
python3 src/write_calendar_cache.py --empty # ONLY for a genuinely empty day
Hosts with no Google connector skip STEP 0 ONLY — the reader falls back to local macOS Calendar. Step 1 below still runs on every host. See "Calendar source (Google Workspace) — activation" for the full contract.
Step 1 — Base data (canonical; runs on EVERY host, including hosts that skipped Step 0):
WORKSPACE="$(bash scripts/sutando-config.sh workspace)"
python3 src/morning-briefing.py
src/morning-briefing.py is the single source of truth for core briefing data: weather (Open-Meteo), macOS Calendar, macOS Reminders, overnight Discord DMs, pending questions, and system health. It writes output to results/proactive-<ts>.txt and sends a Discord DM directly. Review its output before composing the full briefing — do NOT re-fetch those sources manually.
Then augment with the following if configured (skip if not available):
-
Email — Run
gws gmail +triageto get unread inbox. Summarize top 5 by priority. Flag anything urgent. -
GWS Calendar — If the user uses Google Calendar (not just macOS Calendar), run
gws calendar +agenda --today. List any meetings not already covered by the macOS Calendar output above. -
Friction check — Run
python3 src/friction-detector.py. If friction items found, include as "⚠️ Friction: [count] items need attention" with the top 3.
What ships with it
1 file 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.
- 11d ago First seen · 87 lines · 28 tokens per session scan A 3f13b2b39527
morning-briefing is a skill published in the GitHub repository sonichi/sutando (394 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 1,394 once invoked, about $0.0001 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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