research

research is a skill for Codex from lswith/imap-mcp. It costs 49 tokens per session (169 once invoked), scanned A, a copy of research, MIT.

A research workflow that investigates a question using primary sources such as official documentation, source code, technical specifications, and first-party APIs. It saves the findings as a cited Markdown file in the repository.

In plain words
What is it for?
Use it to gather facts about documentation, APIs, specifications, or technical topics. It helps create a durable research note that other developers can read and check.
Why use it?
It removes the need to do the source-finding and note-taking manually. Following claims back to the original source makes the resulting notes easier to verify.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

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.

agentmods
npx agentmods add skills/lswith/imap-mcp/research
Any agent
npx skills add lswith/imap-mcp --skill research
Clone the repo
git clone --depth 1 https://github.com/lswith/imap-mcp

Made for: Codex.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/lswith/imap-mcp/research.svg)](https://agentmods.dev/skills/lswith/imap-mcp/research)
Your own site
<a href="https://agentmods.dev/skills/lswith/imap-mcp/research"><img src="https://agentmods.dev/badge/skills/lswith/imap-mcp/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 169 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00049 $0.00169
Opus 5 $0.00024 $0.00084
Sonnet 5 $0.00010 $0.00034
Haiku 4.5 $0.00005 $0.00017

Measured 5d ago against content hash 985569f15739, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

research 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 5d 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.

Origin

This is a copy

100% identical to research — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/research/SKILL.md · 13 lines

What it actually says

Spin up a background agent to do the research, so you keep working while it reads.

Its job:

  1. Investigate the question against primary sources (official docs, source code, specs, first-party APIs), not a secondary write-up of them. Follow every claim back to the source that owns it.
  2. Write the findings to a single Markdown file, citing each claim's source.
  3. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
Files

What ships with it

1 file 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. 5d ago First seen · 13 lines · 49 tokens per session scan A 985569f15739

Subscribe to this mod's changes

research is a skill published in the GitHub repository lswith/imap-mcp (0 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 169 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to research, differing in 0 lines, and is treated as a copy.

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