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 agentmods add commands/kjenney/personal-assistant-plugin/email-summarygit clone --depth 1 https://github.com/kjenney/personal-assistant-pluginWrote 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/kjenney/personal-assistant-plugin/email-summary)<a href="https://agentmods.dev/commands/kjenney/personal-assistant-plugin/email-summary"><img src="https://agentmods.dev/badge/commands/kjenney/personal-assistant-plugin/email-summary.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.00282 |
| Opus 5 | $0.00003 | $0.00141 |
| Sonnet 5 | $0.00001 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
email-summary 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 5d 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.
What it actually says
Provide an intelligent email summary for the user.
Default behavior (no parameters): Summarize unread emails from the last 24 hours
With timeframe:
- "today": Emails received today
- "yesterday": Emails from yesterday
- "week": Emails from the past 7 days
With filter: Apply the specified filter to narrow down emails
For each summary:
-
Priority Classification:
- HIGH: Urgent emails, from VIPs, or with deadline keywords
- MEDIUM: Normal work emails requiring response
- LOW: FYI emails, newsletters, automated notifications
-
Email Details:
- From/Subject
- Brief summary (2-3 sentences)
- Action required (if any)
- Suggested response approach
-
Overall Insights:
- Total unread count
- Number requiring action
- Any patterns or themes
- Recommended next steps
Present this in a scannable format that helps the user quickly triage their inbox.
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.
- 5d ago First seen · 43 lines · 6 tokens per session scan A f898862454c7
email-summary is a command published in the GitHub repository kjenney/personal-assistant-plugin (6 stars, last pushed 10mo ago), licensed MIT. It adds 6 tokens to every session and 282 once invoked, about $0.0000 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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release
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statusbar-style
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engage.actions
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