Borrowing it
Nothing to install: this file belongs to scrappy-builds/deskmail-ai. 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/scrappy-builds/deskmail-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/scrappy-builds/deskmail-aiWrote 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/scrappy-builds/deskmail-ai/claude-md)<a href="https://agentmods.dev/instructions/scrappy-builds/deskmail-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/scrappy-builds/deskmail-ai/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/scrappy-builds/deskmail-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/scrappy-builds/deskmail-ai/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 | $0.00982 | $0.00982 |
| Opus 5 | $0.00491 | $0.00491 |
| Sonnet 5 | $0.00196 | $0.00196 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
deskmail-ai 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 10d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeskMail AI — guide for Claude
You're helping someone modify an existing, working desktop email client. This file tells you how it's built, the rules you must not break, and how to run and test your changes. Read it before editing.
What this is
DeskMail AI is a local, single-user Electron + React + TypeScript email client for
Windows. Mail is fetched over IMAP/SMTP and cached in a local SQLite database
(node-sqlite3-wasm — WebAssembly, no native build). A separate MCP server lets
Claude Desktop read and draft mail.
Golden rules (do not break these)
- Local-only, private. No telemetry, no analytics, no cloud accounts, no phoning home. Mail never leaves the machine except to the user's own mail server and their own Claude.
- Credentials stay secret. Passwords live in the OS keychain via Electron
safeStorage. Never write a password to the database in plain text, never log it, never expose it to the renderer or the MCP server. - The MCP connector is read-and-draft only. It may read, search, draft, and do
reversible organise actions. It must never send mail, permanently delete, read
credentials, or write files outside DeskMail's storage. The test in
tests/unit/mcp.test.tsenforces the exact tool set — keep it honest. - Never send or hard-delete without explicit user action. Draft ≠ send. Delete means move-to-Trash unless the user explicitly asks for permanent deletion (from Trash/Junk, behind a confirm).
How to run, test, build
npm install
npm run dev # app with hot reload
npm test # unit tests (Vitest)
npm run typecheck # tsc for both the node and web projects
npm run test:e2e # Playwright drives the built app
npm run build # production build into out/
npm run package # Windows installer into release/
Always run npm run typecheck and npm test after a change. For anything touching mail
sync or the UI, verify in the real app (npm run dev) — see the project's verify
skill notes if present.
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.
- 10d ago First seen · 74 lines · 982 tokens per session scan A 265bbd1b1dd4
deskmail-ai CLAUDE.md is an instructions file published in the GitHub repository scrappy-builds/deskmail-ai (1 stars, last pushed 29d ago), licensed Apache-2.0. It adds 982 tokens to every session, about $0.0049 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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