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 boazbk/codex_assistant --skill email-attention-flowgit clone --depth 1 https://github.com/boazbk/codex_assistantWrote 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/boazbk/codex_assistant/email-attention-flow)<a href="https://agentmods.dev/skills/boazbk/codex_assistant/email-attention-flow"><img src="https://agentmods.dev/badge/skills/boazbk/codex_assistant/email-attention-flow/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/boazbk/codex_assistant/email-attention-flow"><img src="https://agentmods.dev/badge/skills/boazbk/codex_assistant/email-attention-flow.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 | $0.00079 | $0.01928 |
| Opus 5.5 | $0.00032 | $0.00771 |
| Sonnet 5.5 | $0.00016 | $0.00386 |
| Haiku 4.5 | $0.00008 | $0.00193 |
Grade A, and why
email-attention-flow 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Attention Flow
Use this skill for inbox-attention scans, reply-needed audits, and email-response workflows in this repo.
Required Local Files
- Read
AGENTS.mdfirst. - Read
log.mdbefore surfacing or replying to anything. - Read
email_templates.mdwhen the scan may include standard request types.
Core Goal
Maximize recall for personal threads where the user is plausibly the next actor, especially emails they personally owe a reply to. Prefer a few false positives over a false negative on personal-response coverage, while still filtering obvious bulk and list noise. If there is meaningful doubt whether the user still owes a response, include the item in a lower-confidence bucket instead of silently dropping it.
Scan Workflow
- Start with a broad all-mail search for the full requested timeframe. Do not assume the inbox alone contains every thread the user still owes a response to.
- Run a second pass that excludes obvious bulk categories such as promotions, forums, social, and updates to build a human-origin shortlist.
- Run an additional pass tuned for personal reply-needed mail. Favor searches and filters that catch direct human conversation, recent back-and-forth, and mail addressed to one of the user's known or visible addresses.
- If the timeframe is more than a few days, do not rely only on the first page of results. Paginate or search by time slices so older actionable mail is not missed.
- Use
search_email_idsor equivalent coverage checks to verify the result set is not suspiciously sparse. - Read bodies for shortlisted messages whose snippets are insufficient, and read full threads when the latest responder or next actor is ambiguous.
- Check all relevant addresses visible in the Gmail results, prior handled threads, and message headers. Do not assume one address is enough.
- For each shortlisted personal thread, explicitly classify whether the user owes a reply, owes some other action, is waiting on the other side, or the thread is unclear.
- Remove anything already logged in
log.mdas handled or marked off. - Surface encrypted or otherwise unreadable personal emails as unresolved items rather than ignoring them.
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 · 132 lines · 79 tokens per session scan A 731268da59c3
email-attention-flow is a skill published in the GitHub repository boazbk/codex_assistant (5 stars, last pushed 6mo ago), licensed MIT. It adds 79 tokens to every session and 1,928 once invoked, about $0.0003 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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