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 aashari/ai-agent-skills --skill mail-securitygit clone --depth 1 https://github.com/aashari/ai-agent-skillsWrote 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/aashari/ai-agent-skills/mail-security)<a href="https://agentmods.dev/skills/aashari/ai-agent-skills/mail-security"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-security/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/aashari/ai-agent-skills/mail-security"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-security.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 | $0.00066 | $0.00860 |
| Opus 5 | $0.00033 | $0.00430 |
| Sonnet 5 | $0.00013 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
mail-security 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mail Security — Account Security Events
Scanning: $ARGUMENTS (default: last 30 days)
Query
DB="$HOME/Library/Mail/V10/MailData/Envelope Index"
SINCE=$(($(date +%s) - 2592000)) # 30 days
sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
s.subject, a.address as sender,
mb.url as mailbox, m.ROWID, m.read
FROM messages m
JOIN subjects s ON m.subject = s.ROWID
JOIN addresses a ON m.sender = a.ROWID
JOIN mailboxes mb ON m.mailbox = mb.ROWID
WHERE m.date_received >= ${SINCE}
AND m.deleted = 0
AND mb.url NOT LIKE '%Spam%' AND mb.url NOT LIKE '%Trash%'
AND (
s.subject LIKE '%security alert%'
OR s.subject LIKE '%sign-in%'
OR s.subject LIKE '%sign in%'
OR s.subject LIKE '%new sign%'
OR s.subject LIKE '%login%'
OR s.subject LIKE '%new device%'
OR s.subject LIKE '%new login%'
OR s.subject LIKE '%access from%'
OR s.subject LIKE '%password%'
OR s.subject LIKE '%two-factor%'
OR s.subject LIKE '%two factor%'
OR s.subject LIKE '%2FA%'
OR s.subject LIKE '%2-step%'
OR s.subject LIKE '%authenticator%'
OR s.subject LIKE '%verification code%'
OR s.subject LIKE '%suspicious%'
OR s.subject LIKE '%unusual activity%'
OR s.subject LIKE '%unauthorized%'
OR s.subject LIKE '%account compromised%'
OR s.subject LIKE '%verify your%'
OR s.subject LIKE '%confirm your%'
OR s.subject LIKE '%account locked%'
OR s.subject LIKE '%reset your password%'
OR s.subject LIKE '%forgot password%'
OR s.subject LIKE '%recovery%'
-- Senders
OR a.address LIKE '%security@%'
OR a.address LIKE '%accounts.google%'
OR a.address LIKE '%account-security%'
OR a.address LIKE '%noreply@%stripe%'
OR a.address LIKE '%auth@%'
)
ORDER BY m.date_received DESC;" 2>/dev/null
Step 2: Parse for details
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
Extract from body:
- Service/platform name
- Event type (new login, 2FA enabled, password changed, etc.)
- Location/IP address of the event
- Device/browser info
- Timestamp of the security event (vs. email timestamp)
- Whether it offers a "this wasn't me" link
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 · 106 lines · 66 tokens per session scan A 9ec558c29496
mail-security is a skill published in the GitHub repository aashari/ai-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 860 once invoked, about $0.0003 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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