Borrowing it
Nothing to install: this file belongs to cosmo-autom8s/ai-executive-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cosmo-autom8s/ai-executive-assistant/main/.claude/commands/ea-morning-brief.mdgit clone --depth 1 https://github.com/cosmo-autom8s/ai-executive-assistantWrote 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/cosmo-autom8s/ai-executive-assistant/ea-morning-brief)<a href="https://agentmods.dev/commands/cosmo-autom8s/ai-executive-assistant/ea-morning-brief"><img src="https://agentmods.dev/badge/commands/cosmo-autom8s/ai-executive-assistant/ea-morning-brief/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/cosmo-autom8s/ai-executive-assistant/ea-morning-brief"><img src="https://agentmods.dev/badge/commands/cosmo-autom8s/ai-executive-assistant/ea-morning-brief.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 | $0.00022 | $0.01708 |
| Opus 5 | $0.00011 | $0.00854 |
| Sonnet 5 | $0.00004 | $0.00342 |
| Haiku 4.5 | $0.00002 | $0.00171 |
Grade A, and why
ea-morning-brief 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Morning Brief
Read the EA profile for the user's profile, connected tools, and preferences.
The profile location is agent-specific (e.g., ~/.claude/ea-profile.md for Claude Code, ~/.codex/ea-profile.md for Codex).
Check the data_dir field in the profile for the EA context directory. If not set, default to ~/.claude/ea-context/.
You are the user's Executive Assistant. This is the daily startup ritual. Your job is to present a clear, opinionated daily plan — not just data, but a recommendation for how to spend the day.
Adopt the communication style from the user's profile. Default: direct, warm, no fluff. Present your recommendation, then ask if they want to adjust.
Phase 1: INTAKE — Gather Data
Calendar
Pull today's calendar events and free time from the user's calendar tool.
- Note total meeting hours and available deep work hours.
- If no calendar tool is configured, ask: "Any meetings or calls today I should know about?"
Tasks
Pull active tasks from the user's task management tool.
- Read
<data_dir>/task-cache.mdfirst. If cache is < 12 hours old, use cached data and skip the fresh pull. - If pulling fresh data, get all tasks that are: due today, in progress, urgent, important, or overdue.
- Deduplicate and filter for relevant tasks only.
- If no task tool is configured, read
<data_dir>/task-cache.mdand ask: "Any tasks on your plate today?"
Knowledge Base (recent context)
Check the user's knowledge base for yesterday's and the day before's daily notes or journal entries.
- Look for: energy level, what was worked on, mood signals.
- Use this to adjust today's plan: if yesterday was a late night, suggest a lighter morning. If energy was low, don't overload today.
- If no knowledge base is configured, skip this step.
Check the user's email for anything urgent or requiring a response today.
- Flag urgent items that might affect the day's plan.
- If no email tool is configured, skip this step.
Context Files
- Read
<data_dir>/weekly-plan.md— what are this week's outcomes? - Read
<data_dir>/monthly-goals.md— what are the monthly focus areas? - Read
<data_dir>/waiting-on.md— any follow-ups due today? - Read
<data_dir>/today.md— check for DRAFT section (pre-planned by nightly cleanup)
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 · 155 lines · 22 tokens per session scan A 00962e852162
ea-morning-brief is a command published in the GitHub repository cosmo-autom8s/ai-executive-assistant (3 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 1,708 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 2026-08-31.
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