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-triagegit 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-triage)<a href="https://agentmods.dev/skills/aashari/ai-agent-skills/mail-triage"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-triage/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-triage"><img src="https://agentmods.dev/badge/skills/aashari/ai-agent-skills/mail-triage.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 | $0.00075 | $0.00913 |
| Opus 5 | $0.00037 | $0.00456 |
| Sonnet 5 | $0.00015 | $0.00183 |
| Haiku 4.5 | $0.00007 | $0.00091 |
Grade A, and why
mail-triage 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 11d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mail Triage — Smart Priority Overview
Triaging: $ARGUMENTS (default: last 48 hours)
Step 1: Pull all candidate emails
DB="$HOME/Library/Mail/V10/MailData/Envelope Index"
SINCE=$(($(date +%s) - 172800)) # 48 hours; adjust per $ARGUMENTS
sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
s.subject, a.address as sender, a.comment as name,
mb.url as mailbox, m.ROWID,
m.read, m.flagged, m.is_urgent, m.size, m.conversation_id,
m.automated_conversation, m.unsubscribe_type
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 mb.url NOT LIKE '%Junk%' AND mb.url NOT LIKE '%Sent%'
ORDER BY m.date_received DESC;" 2>/dev/null
Step 2: Score each email for priority
High priority signals (+points):
- is_urgent = 1: +10
- flagged = 1: +8
- read = 0: +3
- Subject contains: urgent, ASAP, action required, critical, deadline, review, approve: +5 each
- automated_conversation = 0 AND unsubscribe_type = 0 (likely real person): +4
- From work/EWS account: +2
- Large message (>50KB): +1 (likely real content)
- Subject contains reply indicators (RE:, FW:): +2
Low priority signals (−points):
- automated_conversation = 2 (bulk automated — newsletters, monitoring, CI/CD): −8
- unsubscribe_type > 0 (has List-Unsubscribe header — mailing list): −5
- Subject starts with PROBLEM:, OK:, ALARM:, CRIT: −8 (monitoring)
- Already read: −5
Compute a score per email, then bucket:
- Score ≥ 10: Critical
- Score 5–9: Important
- Score 1–4: Normal
- Score ≤ 0: Noise
Step 3: Read bodies for top-priority items
For Critical and Important emails (score ≥ 5):
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
Extract key info: what is being asked, any deadlines, any amounts.
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.
- 11d ago First seen · 98 lines · 75 tokens per session scan A b7070917e9ac
mail-triage is a skill published in the GitHub repository aashari/ai-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 75 tokens to every session and 913 once invoked, about $0.0004 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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