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 skills add bendrucker/claude --skill mailgit clone --depth 1 https://github.com/bendrucker/claudeWrote 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/skills/bendrucker/claude/mail)<a href="https://agentmods.dev/skills/bendrucker/claude/mail"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/mail/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/skills/bendrucker/claude/mail"><img src="https://agentmods.dev/badge/skills/bendrucker/claude/mail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.00223 |
| Opus 5.5 | $0.00010 | $0.00089 |
| Sonnet 5.5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
mail 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 1mo 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
Apple Mail automation via JXA (osascript -l JavaScript).
Archiving
Mail.app delete() moves messages to Trash, not Archive. There is no archiveMailbox property — find the archive mailbox by name per account.
See archiving.md for account detection, mailbox lookup, and batch archive patterns.
Reading
var app = Application("Mail");
var inbox = app.inbox();
var messages = inbox.messages();
Key properties: subject(), sender(), dateReceived(), content(), mailbox().account().
Notes
- JXA arrays from Mail may lack
.map()/.filter()— useArray.from()or for-loops .whose()selectors fail on child mailbox arrays — use for-loops- Launch Mail first if not running:
open -g -a "Mail"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 31 lines · 26 tokens per session scan A ae167fbdfaef
mail is a skill published in the GitHub repository bendrucker/claude (18 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 223 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 2026-08-30.
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