Borrowing it
Nothing to install: this file belongs to jasondk/errol-mail. 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/jasondk/errol-mail/main/CLAUDE.mdgit clone --depth 1 https://github.com/jasondk/errol-mailWrote 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/instructions/jasondk/errol-mail/claude-md)<a href="https://agentmods.dev/instructions/jasondk/errol-mail/claude-md"><img src="https://agentmods.dev/badge/instructions/jasondk/errol-mail/claude-md/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/instructions/jasondk/errol-mail/claude-md"><img src="https://agentmods.dev/badge/instructions/jasondk/errol-mail/claude-md.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 | $0.01036 | $0.01036 |
| Opus 5.5 | $0.00414 | $0.00414 |
| Sonnet 5.5 | $0.00207 | $0.00207 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
errol-mail CLAUDE.md 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 2mo 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Errol-Mail
Project Overview
Errol-Mail is a Python MCP (Model Context Protocol) server that gives AI assistants comprehensive read-only access to Apple Mail's local database. It bridges Claude and Mail.app via three data sources: SQLite (metadata), .emlx files (content), and AppleScript (headless operations).
Architecture
server.py # MCP server — 26 tools exposed via FastMCP
src/
database.py # SQLite read-only access to Envelope Index
messages.py # Message queries (recent, search, folder)
email_reader.py # .emlx parsing + prompt injection detection
threads.py # Thread/conversation grouping
attachments.py # Attachment extraction to temp dir
applescript_helper.py # Headless flag/read/download via osascript
mail_cli.py # CLI interface for manual testing
check_fda.py # Full Disk Access diagnostic tool
docs/
SKILL.md # AI skill documentation (source of truth)
api_reference.md # Complete API reference
errol.skill # Packaged skill (zip of SKILL.md + api_reference.md)
Key Data Sources
- SQLite DB:
~/Library/Mail/V10/MailData/Envelope Index— message metadata, opened read-only via URI mode - .emlx files:
~/Library/Mail/V10/{account-uuid}/.../{rowid}.emlx— full email content, located via pathlib.rglob - AppleScript: headless operations (flag, mark read, download) — runs silently without opening Mail UI
Development Commands
python server.py --test # Smoke tests (mailboxes, recent, unread)
python server.py --logs # Show recent log entries
python server.py --tail # Follow logs in real-time
python mail_cli.py mailboxes # CLI: list mailboxes
python check_fda.py # Diagnose Full Disk Access
Logs go to ~/Library/Logs/errol-mail/server.log.
Key Design Decisions
Security Model (Prompt Injection Defense)
Email content is untrusted input that becomes part of the LLM context. Defenses:
- Content isolation — bodies wrapped in
<email-content source="untrusted">tags - Security header — constant reminder on all reads
- Injection detection — 18 regex patterns in
email_reader.pyscan for common attacks - Markdown escaping — subjects/senders escaped to prevent table-breaking
- Junk/Trash exclusion — discovery tools exclude Junk/Spam/Trash by default to reduce exposure to malicious content
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.
- 2mo ago First seen · 87 lines · 1,036 tokens per session scan A 4f7d9f9de196
errol-mail CLAUDE.md is an instructions file published in the GitHub repository jasondk/errol-mail (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,036 tokens to every session, about $0.0041 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.
errol-mail CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| errol-mail CLAUDE.mdjasondk/errol-mail | Instructions file | 0 | 2mo ago | MIT | A | 1,036 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |