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 skills/aws-samples/sample-strands-agent-with-agentcore/gmailnpx skills add aws-samples/sample-strands-agent-with-agentcore --skill gmailgit clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcoreWhat 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 | $0.00014 | $0.01481 |
| Opus 5 | $0.00007 | $0.00740 |
| Sonnet 5 | $0.00003 | $0.00296 |
| Haiku 4.5 | $0.00001 | $0.00148 |
Grade A, and why
gmail 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 2d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gmail
Available Tools
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list_labels(): List all Gmail labels (system: INBOX, SENT, TRASH, SPAM, DRAFT, IMPORTANT, STARRED, UNREAD; plus user-created labels).
-
list_emails(label?, max_results?, include_spam_trash?): List emails by label.
label(string, optional, default: "INBOX"): Label to filter by (INBOX, SENT, DRAFT, TRASH, SPAM, STARRED, IMPORTANT, or custom label ID)max_results(integer, optional, default: 10, max: 100): Number of emails to returninclude_spam_trash(boolean, optional, default: false): Include SPAM and TRASH
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search_emails(query, max_results?): Search Gmail using query syntax.
query(string, required): Gmail search query (from:, to:, subject:, is:unread, has:attachment, after:, before:, older_than:, newer_than:)max_results(integer, optional, default: 10, max: 50): Number of results
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read_email(message_id): Read a full email including body and attachments.
message_id(string, required): Gmail message ID (from list_emails or search_emails)
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send_email(to, subject, body, cc?, bcc?, reply_to?, in_reply_to?, html_body?): Send an email.
to(string, required): Recipient(s), comma-separatedsubject(string, required): Email subjectbody(string, required): Plain text email bodycc(string, optional): CC recipient(s)bcc(string, optional): BCC recipient(s)reply_to(string, optional): Reply-To addressin_reply_to(string, optional): Message-ID to reply to (for threading)html_body(string, optional): HTML version of email body
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draft_email(to, subject, body, cc?, bcc?, reply_to?, in_reply_to?, html_body?): Create a draft for later editing/sending. Same parameters as
send_email. -
delete_email(message_id, permanent?): Delete an email.
message_id(string, required): Gmail message IDpermanent(boolean, optional, default: false): If true, permanently delete; if false, move to Trash
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bulk_delete_emails(query, reason, max_delete?): Permanently delete multiple emails by query. Cannot be undone.
query(string, required): Gmail search query to find emailsreason(string, required): Human-readable explanation (shown to user for approval)max_delete(integer, optional, default: 50, max: 100): Maximum emails to delete
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.
- 2d ago First seen · 112 lines · 14 tokens per session scan A f654f83fc629
gmail is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (191 stars, last pushed 6d ago), licensed MIT. It adds 14 tokens to every session and 1,481 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 2026-08-30.
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