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.
npx skills add matteotitta/genesys-skills --skill todaygit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/today)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/today"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/today/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/matteotitta/genesys-skills/today"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/today.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 | $0.00104 | $0.01690 |
| Opus 5 | $0.00052 | $0.00845 |
| Sonnet 5 | $0.00021 | $0.00338 |
| Haiku 4.5 | $0.00010 | $0.00169 |
Grade A, and why
today 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/today — Daily productivity briefing
Pull a structured daily briefing from all connected productivity tools in one shot. Designed to replace the morning ritual of checking 4 separate apps.
Claude Code Triggers
Invoke this skill when user says:
- "/today"
- "What's on my plate today?"
- "Morning briefing"
- "Daily summary"
- "What do I need to focus on?"
Do NOT invoke when:
- User asks about a single tool only (e.g., "check my email" → use Gmail MCP directly)
- User asks for a specific Linear issue or calendar event
- User wants to send an email or create a task (action, not briefing)
Modes
/today (default) — Morning briefing
Start-of-day overview. What happened overnight, what's coming up, what needs attention.
/today wrap — End-of-day wrap-up
What was done today, what's still pending, what to prep for tomorrow.
/today focus — Quick focus check
Minimal output. Just the top 3 things that need attention right now.
Process
Phase 1: Gather data (parallel)
Pull from all 4 sources simultaneously using parallel tool calls. Do NOT run these sequentially.
1a. Gmail — Use mcp__google-workspace__search_gmail_messages
- Morning mode:
query: "newer_than:12h",page_size: 15 - Wrap mode:
query: "newer_than:24h",page_size: 20 - Always pass
user_google_email: "[email protected]" - Then batch-fetch content for the returned message IDs using
get_gmail_messages_content_batch
1b. Calendar — Use mcp__google-workspace__get_calendar_events
- Morning mode: today's events
- Wrap mode: today's events + tomorrow's first 3
- Always pass
user_google_email: "[email protected]" - Use calendar ID:
[email protected]
1c. Linear — Use mcp__plugin_linear_linear__list_issues
assignee: "me",limit: 15- Filter to active states: In Progress, In Review, Next Up
- Sort by priority (Urgent > High > Medium > Low)
1d. Slack — Use mcp__claude_ai_Slack__slack_search_public_and_private
- Morning mode: search for mentions in last 12 hours
- Wrap mode: search for mentions in last 24 hours
- Query:
from:me OR to:meor recent channel activity
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 · 182 lines · 104 tokens per session scan A 582c071d8562
today is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 1,690 once invoked, about $0.0005 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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