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-bankinggit 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-banking)<a href="https://agentmods.dev/skills/aashari/ai-agent-skills/mail-banking"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-banking/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-banking"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-banking.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 | $0.00059 | $0.00792 |
| Opus 5 | $0.00030 | $0.00396 |
| Sonnet 5 | $0.00012 | $0.00158 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
mail-banking 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 12d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mail Banking — Bank Notifications and Account Activity
Filter: $ARGUMENTS (default: last 7 days, all banks)
Step 1: Find bank notification emails
DB="$HOME/Library/Mail/V10/MailData/Envelope Index"
SINCE=$(($(date +%s) - 604800)) # 7 days
sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
s.subject, a.address as sender,
mb.url, m.ROWID
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 (
-- By sender domain
a.address LIKE '%bank%'
OR a.address LIKE '%livin%'
OR a.address LIKE '%bca%'
OR a.address LIKE '%bri%'
OR a.address LIKE '%bni%'
OR a.address LIKE '%mandiri%'
OR a.address LIKE '%seabank%'
OR a.address LIKE '%sinarmas%'
OR a.address LIKE '%wise%'
OR a.address LIKE '%revolut%'
OR a.address LIKE '%n26%'
OR a.address LIKE '%chase%'
OR a.address LIKE '%paypal%'
-- By subject
OR s.subject LIKE '%transfer%'
OR s.subject LIKE '%transaction%'
OR s.subject LIKE '%top-up%'
OR s.subject LIKE '%top up%'
OR s.subject LIKE '%payment successful%'
OR s.subject LIKE '%debit%'
OR s.subject LIKE '%credit%'
OR s.subject LIKE '%transfer successful%'
OR s.subject LIKE '%BI Fast%'
OR s.subject LIKE '%RTGS%'
OR s.subject LIKE '%QRIS%'
)
ORDER BY m.date_received DESC;" 2>/dev/null
Step 2: Filter by bank if specified in $ARGUMENTS
If user specifies "mandiri", "BCA", "BRI", etc., add:
AND (a.address LIKE '%mandiri%' OR s.subject LIKE '%mandiri%')
Step 3: Parse transaction details
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
Extract from body:
- Transaction type (transfer, payment, top-up, withdrawal)
- Amount + currency
- Recipient name and bank
- Sender/source account (masked card/account number)
- Reference/transaction number
- Date and time
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.
- 12d ago First seen · 97 lines · 59 tokens per session scan A 0fd2192f78e7
mail-banking is a skill published in the GitHub repository aashari/ai-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 792 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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