Borrowing it
Nothing to install: this file belongs to LeChabrax/apple-mail-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LeChabrax/apple-mail-mcp/main/.grok/skills/performance-patterns/SKILL.mdgit clone --depth 1 https://github.com/LeChabrax/apple-mail-mcpWrote 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/lechabrax/apple-mail-mcp/performance-patterns)<a href="https://agentmods.dev/skills/lechabrax/apple-mail-mcp/performance-patterns"><img src="https://agentmods.dev/badge/skills/lechabrax/apple-mail-mcp/performance-patterns/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/lechabrax/apple-mail-mcp/performance-patterns"><img src="https://agentmods.dev/badge/skills/lechabrax/apple-mail-mcp/performance-patterns.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 | $0.00050 | $0.00888 |
| Opus 5.5 | $0.00020 | $0.00355 |
| Sonnet 5.5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
performance-patterns 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- performance-patterns — 100% identical, 98 lines differ
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Mail MCP Performance Patterns
The Core Insight
The bottleneck is per-subprocess overhead. Each osascript call costs 100-300ms regardless of what it does. All performance work reduces the number of subprocess calls.
Known Operation Timings
| Operation | Time | Notes |
|---|---|---|
Single osascript call overhead |
100-300ms | Minimum cost per subprocess |
search_messages (typical INBOX) |
~1-5s | Depends on mailbox size and filter count |
get_message (single) |
<1s | Direct ID lookup |
create_draft (with send_now=True) |
~1-2s | Includes Mail.app compose + send |
update_message (bulk read/flag) |
~1-2s | Single script for N messages via _bulk_repeat_block |
update_message (move) |
~1-3s | Varies by account type (Gmail slower) |
save_attachments |
~2-5s | Depends on attachment count/size |
Pattern 1: Use whose Clauses for Server-Side Filtering
-- GOOD: Server-side filter (fast, Mail.app evaluates internally)
set msgs to (messages of mbox whose sender contains "[email protected]")
-- BAD: Fetch all then filter in Python (slow, transfers all data)
set msgs to every message of mbox
-- then filter in Python loop
whose clauses let Mail.app filter internally without transferring unmatched messages over IPC. This is 10-50x faster for large mailboxes.
Pattern 2: Single Script Per Batch Operation
# GOOD: One osascript call for N messages (near-constant time)
script = """
tell application "Mail"
repeat with msgId in {id1, id2, id3}
set read status of (first message whose id is msgId) to true
end repeat
end tell
"""
self._run_applescript(script)
# BAD: N osascript calls for N messages (linear time)
for msg_id in message_ids:
self._run_applescript(f'tell application "Mail" ...')
Batch operations should always build a single AppleScript that handles all items.
Pattern 3: Use limit for Pagination
The search_messages tool accepts a limit parameter (default: 50). AppleScript uses items 1 thru N of for server-side limiting. Always pass a reasonable limit — fetching 10,000 messages when the user wants the latest 10 wastes 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.
- 1mo ago First seen · 86 lines · 50 tokens per session scan A 650c24f6ed8f
performance-patterns is a skill published in the GitHub repository LeChabrax/apple-mail-mcp (0 stars, last pushed 17d ago), licensed MIT. It adds 50 tokens to every session and 888 once invoked, about $0.0002 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 2026-08-31.
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