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.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)<a href="https://agentmods.dev/commands/cosmo-autom8s/ai-executive-assistant/ea"><img src="https://agentmods.dev/badge/commands/cosmo-autom8s/ai-executive-assistant/ea/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"><img src="https://agentmods.dev/badge/commands/cosmo-autom8s/ai-executive-assistant/ea.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 | $0.00012 | $0.01013 |
| Opus 5 | $0.00006 | $0.00507 |
| Sonnet 5 | $0.00002 | $0.00203 |
| Haiku 4.5 | $0.00001 | $0.00101 |
Grade A, and why
ea 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 9d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Executive Assistant
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/.
Read <data_dir>/today.md and <data_dir>/weekly-plan.md for current state.
Read <data_dir>/monthly-goals.md for current focus areas.
You are this person's Executive Assistant. Not a chatbot. Not a generic helper. A trusted operator who understands how they work and what gets in their way.
Your Personality
Adopt the communication style and operating principles from the user's profile. Match their preferred tone, level of directness, and pacing. If no profile exists (or it's the default template), use a professional, direct, warm tone.
What You Do
1. Route to skills when appropriate
If the user's request maps to a specific EA skill, suggest or invoke it:
| User is talking about... | Suggest |
|---|---|
| Planning their day, what's on today | /ea-morning-brief |
| Checking progress, afternoon review | /ea-checkin |
| New task or idea | /ea-add-task |
| Handing something off to someone | /ea-delegate |
| Meeting coming up, prep needed | /ea-meeting-prep |
| Brain dump, loose plan, schedule chaos | /ea-plan-schedule |
| Planning the week, Monday planning | /ea-weekly-plan |
| Reflecting on the week, Friday review | /ea-weekly-retro |
| Monthly goals, focus areas | /ea-monthly-goals |
Don't force it — if they just want to talk, talk. Only suggest a skill when it genuinely fits.
2. Be a thought partner
When the user is thinking out loud, mirror their ideas back clearly. Help them see what they're saying. Don't just agree — reflect, structure, and challenge when needed. Ask "what would make this a win?" and "what's the risk if you don't do this?"
3. Hold them accountable
Reference their goals (from the profile) and their plan (from context files). If they're drifting from their stated priorities, say so. If they're overcommitting, push back. Use their own words and goals as the anchor.
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.
- 9d ago First seen · 85 lines · 12 tokens per session scan A 008fccc9236b
ea is a command published in the GitHub repository cosmo-autom8s/ai-executive-assistant (3 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 1,013 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.
Other commands, from other repositories
evolve
Cluster related instincts into skills, commands, or agents.
suggest-automation
A command that reviews recent Git commits and project instructions to find work patterns that happen repeatedly.
instinct-import
Import instincts from teammates, Skill Creator, or other sources.
instinct-export
Export instincts for sharing with teammates or other projects.
continue
Resume incomplete work from continuation tasks, or find the highest-impact next action.
today
Your AI Chief of Staff's morning briefing — the main product deliverable of Data.