email-imap-full-fetch

email-imap-full-fetch is a skill for Claude Code, Codex from tiangong-ai/skills. It costs 60 tokens per session (857 once invoked), scanned A, original, MIT.

An IMAP email retrieval skill that downloads one complete message, including its headers, body, and attachments. IMAP is a standard way for programs to access mail stored on an email server.

In plain words
What is it for?
Use it to fetch a specific email from a mailbox, save an .eml copy, and store its attachments for processing.
Why use it?
It avoids relying on partial previews and gives later steps the original email and its files, using the message ID before a less reliable numeric ID.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the email-and-mailbox-automation plugin — 4 skills shipped together

Good fit Use it to fetch a specific email from a mailbox, save an .eml copy, and store its attachments for processing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tiangong-ai/skills/email-imap-full-fetch
Install

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.

Any agent
npx skills add tiangong-ai/skills --skill email-imap-full-fetch
Clone the repo
git clone --depth 1 https://github.com/tiangong-ai/skills

Made for: Claude Code, Codex.

Or install email-and-mailbox-automation, the plugin that ships this one along with the rest of its 4 skills.

Wrote 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.

agentmods badge for email-imap-full-fetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/tiangong-ai/skills/email-imap-full-fetch/github.svg)](https://agentmods.dev/skills/tiangong-ai/skills/email-imap-full-fetch)
Your own site
<a href="https://agentmods.dev/skills/tiangong-ai/skills/email-imap-full-fetch"><img src="https://agentmods.dev/badge/skills/tiangong-ai/skills/email-imap-full-fetch/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.

agentmods 80×15 button for email-imap-full-fetch

Your own site · 80×15
<a href="https://agentmods.dev/skills/tiangong-ai/skills/email-imap-full-fetch"><img src="https://agentmods.dev/badge/skills/tiangong-ai/skills/email-imap-full-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00857
Opus 5 $0.00030 $0.00428
Sonnet 5 $0.00012 $0.00171
Haiku 4.5 $0.00006 $0.00086

Measured 12d ago against content hash 8bccf9ba6850, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

email-imap-full-fetch 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/imap_full_fetch.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

email-imap-full-fetch/SKILL.md · 86 lines

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.

Email IMAP Full Fetch

Core Goal

  • Fetch one target email by stable message reference from IMAP.
  • Enforce lookup order: HEADER Message-Id exact match first, then uid fallback.
  • Download full raw MIME via BODY.PEEK[].
  • Parse and return headers, full text body, html body, and attachment metadata.
  • Save .eml and attachment files to disk with filename safety and idempotent indexing.

Standard Flow

  1. Input must include message_id_norm from stage-1 routing output (mail_ref.message_id_norm).
  2. Use fetch --message-id "<message_id_norm or raw Message-Id>" as the default path.
  3. Use fetch --uid "<uid>" only when no usable message-id is available.
  4. Keep mailbox selection consistent with stage-1 (--mailbox or IMAP_MAILBOX).
  5. Read JSON output and continue downstream processing with returned mail_ref.

Commands

Fetch by Message-Id (preferred):

python3 scripts/imap_full_fetch.py fetch --message-id "<[email protected]>"

Fetch by UID (fallback only):

python3 scripts/imap_full_fetch.py fetch --uid "123456"

Use both when needed (message-id lookup first, uid fallback second):

python3 scripts/imap_full_fetch.py fetch --message-id "<[email protected]>" --uid "123456"

Output Contract

  • Output is a single JSON object.
  • Required top-level fields:
    • mail_ref
    • headers
    • text_plain
    • text_html
    • attachments
    • saved_eml_path
  • mail_ref contains:
    • account, mailbox, uid, message_id_raw, message_id_norm, date
  • attachments[] contains per-file metadata and persistence result:
    • filename, content_type, bytes, disposition, saved_path, skipped_reason

Storage And Idempotency

  • saved_eml_path points to local .eml file saved from BODY.PEEK[].
  • Attachments are saved without returning attachment binary content in JSON.
  • Filenames are sanitized to remove path separators and unsafe characters.
  • Duplicate attachment names are deduped with content-hash suffix.
  • Repeated requests are idempotent by message_id_norm index and return existing persisted JSON record directly.

Read the full file on GitHub · 86 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 12d ago First seen · 86 lines · 60 tokens per session scan A 8bccf9ba6850

Subscribe to this mod's changes

email-imap-full-fetch is a skill published in the GitHub repository tiangong-ai/skills (9 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 857 once invoked, about $0.0003 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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