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.

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.

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.

How lswith/imap-mcp configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to lswith/imap-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/lswith/imap-mcp/main/.agents/skills/research/SKILL.md

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lswith/imap-mcp/research/github.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/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lswith/imap-mcp/research"><img src="https://agentmods.dev/badge/skills/lswith/imap-mcp/research.svg" alt="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00049	$0.00169
Opus 5.5	$0.00020	$0.00068
Sonnet 5.5	$0.00010	$0.00034
Haiku 4.5	$0.00005	$0.00017

Measured 2mo ago against content hash 985569f15739, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

Origin

This is a copy

100% identical to research — 2 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:

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.
Write the findings to a single Markdown file, citing each claim's source.
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.

agents/openai.yaml 94 B

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.

2mo 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 1mo ago), licensed MIT. It adds 49 tokens to every session and 169 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to research, differing in 2 lines, and is treated as a copy.

Research Writing and docs

research next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
researchlswith/imap-mcp	Skill	0	1mo ago	MIT	A	49	Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

imap-mcp: Skill for Codex