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/datacore-one/datacorenpx agentmods add commands/datacore-one/datacore/todayWrote 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/commands/datacore-one/datacore/today)<a href="https://agentmods.dev/commands/datacore-one/datacore/today"><img src="https://agentmods.dev/badge/commands/datacore-one/datacore/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/commands/datacore-one/datacore/today"><img src="https://agentmods.dev/badge/commands/datacore-one/datacore/today.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00018 | $0.08753 |
| Opus 5.5 | $0.00007 | $0.03501 |
| Sonnet 5.5 | $0.00004 | $0.01751 |
| Haiku 4.5 | $0.00002 | $0.00875 |
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 yesterday.
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 — 872 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Today
Your AI Chief of Staff's morning briefing. The main product deliverable of Data.
Command Context
Philosophy
This is not a dashboard. It is a personal briefing from someone who knows you — your energy, your patterns, your priorities, your life. The tone is a trusted chief of staff who also coaches: direct, warm, occasionally challenging.
The briefing tells a story in three acts:
- The World — what happened while you slept (news, markets, overnight work)
- Your Day — what needs you today (agenda, email, GitHub, decisions)
- Your Horizon — what is coming and what matters (week ahead, strategic view)
Design Principles
- Personalization over information — know the user, don't just report data
- Coach, don't report — gentle nudges, not bullet lists. "Your body says moderate today" not "Readiness: 72"
- Module slots, not hardcoded sections — modules fill slots in the narrative flow
- News first — set world context before personal agenda
- Done-first — show what Data accomplished overnight before asking for decisions
- Capacity-aware — every recommendation adjusted to Oura readiness
- Future-extensible — family, personal finance, health goals will plug in naturally
Quick Reference
| Question | Answer |
|---|---|
| Output location? | Personal space journal: 0-personal/notes/journals/YYYY-MM-DD.md |
| Nightshift outputs? | */0-inbox/nightshift-*.md |
| Calendar source? | Google Calendar — multiple accounts (from settings.local.yaml) |
| Market phase? | Pre-computed by a timer on the executor host → [N]-trading/0-inbox/reports/market-phase/market-phase-YYYY-MM-DD.md (the trading space named in the registry); filed to 1-tracks/trading/reports/ after the briefing |
| What DIPs govern this? | DIP-0009 (GTD), DIP-0011 (Nightshift) |
Cron Schedule (nightshift server, UTC)
| Time | CEST | Job |
|---|---|---|
| 05:30 | 07:30 | /analyze-market-phase — trading signals for briefing |
| 06:00 | 08:00 | /today — morning briefing generation |
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.
- yesterday Changed · +15 lines d66f69a7d0f3
- 4d ago Changed · +36 lines bc0da6248a5c
- 19d ago Changed · +37 lines 460cef2e940e
- 20d ago Changed · +15 lines 3fd6d60e87da
- 23d ago Changed · +14 lines f2e890df8a1a
- 26d ago Changed 7cc3aba08915
- 1mo ago Changed · +1 lines f5be35ff4c17
- 1mo ago Changed · +1 lines a8bc3744c852
- 1mo ago Changed · +32 lines 25640ae0e477
- 1mo ago First seen · 721 lines · 18 tokens per session scan A 335a70d348b2
today is a command published in the GitHub repository datacore-one/datacore (4 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 8,753 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 2026-09-03.
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