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SKILL verified MIT Self-run

Mail Meetings

skill-aashari-ai-agent-skills-mail-meetings · by aashari

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Install

$ agentstack add skill-aashari-ai-agent-skills-mail-meetings

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Mail Meetings — Calendar Invites and Meeting Emails

Period: $ARGUMENTS (default: last 7 days)

Query

DB="$HOME/Library/Mail/V10/MailData/Envelope Index"
SINCE=$(($(date +%s) - 604800))  # 7 days; 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
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 '%invitation%'
    OR s.subject LIKE '%invite%'
    OR s.subject LIKE '%meeting%'
    OR s.subject LIKE '%standup%'
    OR s.subject LIKE '%retro%'
    OR s.subject LIKE '%sync%'
    OR s.subject LIKE '%call%'
    OR s.subject LIKE '%agenda%'
    OR s.subject LIKE '%(Updated invitation)%'
    OR s.subject LIKE '%has invited you%'
    OR s.subject LIKE '%calendar%'
    OR s.subject LIKE '%@ %'
    OR a.address LIKE '%calendar%'
    OR a.address LIKE '%gemini-notes%'
    OR a.address LIKE '%meet-recordings%'
  )
ORDER BY m.date_received DESC;" 2>/dev/null

Step 2: Categorize meeting emails

Parse bodies to extract:

  • New invites: "You have been invited to..." — extract meeting title, date/time, organizer
  • Updated invites: time or attendee changes
  • Cancelled meetings: "has been cancelled"
  • Meeting notes/summaries: from Gemini Notes, Otter.ai, Notion, etc.
  • Agendas: ahead of meetings
python3 ~/.claude/skills/_mail-shared/parser.py   ...

Step 3: For upcoming meetings, extract key fields

From invite body, find:

  • Meeting title
  • Date and time (look for @, on [date], time patterns)
  • Organizer
  • Video link (Zoom, Google Meet, Teams URLs)
  • Location

Output Format

Group by type:

Upcoming Meetings (invites received): | Meeting | When | Organizer | Link | |---|---|---|---|

Updated/Changed Meetings: [list changes]

Meeting Notes received: [list summaries with key decisions/action items extracted]

Cancelled: [list cancellations]

For each meeting note, pull out "Suggested next steps" or "Action items" sections if present.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.