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.
npx skills add tiangong-ai/skills --skill email-imap-full-fetchgit clone --depth 1 https://github.com/tiangong-ai/skillsWrote 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/tiangong-ai/skills/email-imap-full-fetch)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.00857 |
| Opus 5 | $0.00030 | $0.00428 |
| Sonnet 5 | $0.00012 | $0.00171 |
| Haiku 4.5 | $0.00006 | $0.00086 |
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.
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 — 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-Idexact match first, thenuidfallback. - Download full raw MIME via
BODY.PEEK[]. - Parse and return headers, full text body, html body, and attachment metadata.
- Save
.emland attachment files to disk with filename safety and idempotent indexing.
Standard Flow
- Input must include
message_id_normfrom stage-1 routing output (mail_ref.message_id_norm). - Use
fetch --message-id "<message_id_norm or raw Message-Id>"as the default path. - Use
fetch --uid "<uid>"only when no usable message-id is available. - Keep mailbox selection consistent with stage-1 (
--mailboxorIMAP_MAILBOX). - 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_refheaderstext_plaintext_htmlattachmentssaved_eml_path
mail_refcontains: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_pathpoints to local.emlfile saved fromBODY.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_normindex and return existing persisted JSON record directly.
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.
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.
- 12d ago First seen · 86 lines · 60 tokens per session scan A 8bccf9ba6850
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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