methodology

methodology is a command for coding agents from nguyenvanduocit/research-kit. It costs 8 tokens per session (1,222 once invoked), scanned A, original, from a forked repository, MIT.

A command for creating a research methodology document, which explains how a study will answer its questions and produce reliable evidence.

In plain words
What is it for?
Use it after defining a topic to plan the research approach, literature review, data sources, and ethical considerations.
Why use it?
It turns a research definition into a checked, practical study plan and prepares supporting documents for sources and research ethics.

Command

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 commands/nguyenvanduocit/research-kit/methodology
Clone the repo
git clone --depth 1 https://github.com/nguyenvanduocit/research-kit

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 methodology

README.md
[![agentmods](https://agentmods.dev/badge/commands/nguyenvanduocit/research-kit/methodology.svg)](https://agentmods.dev/commands/nguyenvanduocit/research-kit/methodology)
Your own site
<a href="https://agentmods.dev/commands/nguyenvanduocit/research-kit/methodology"><img src="https://agentmods.dev/badge/commands/nguyenvanduocit/research-kit/methodology.svg" alt="Measured on agentmods" height="20"></a>
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,222 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin fork From a forked repository.
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 $0.00008 $0.01222
Opus 5 $0.00004 $0.00611
Sonnet 5 $0.00002 $0.00244
Haiku 4.5 $0.00001 $0.00122

Measured 3d ago against content hash 4df21792b454, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

methodology 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 3d 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.

templates/commands/methodology.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

Outline

This command generates a comprehensive research methodology based on the research definition. Run this after /research.define (and optionally /research.refine).

IMPORTANT: The setup script (scripts/bash/setup-methodology.sh) will automatically:

  • Create methodology directory structure
  • Initialize methodology template (methodology.md)
  • Set up supporting document templates (literature review, data sources, ethics)
  • Verify prerequisite phases have been completed (especially definition.md)

DO NOT manually create these directories or files - the script {SCRIPT} handles everything!

  1. Run the methodology setup script {SCRIPT} which will set up all required files and verify prerequisites

  2. Load research definition from research/###-topic-name/definition.md

  3. Quality Gate: AI Verification (after script gate passes)

    Read definition.md and verify ALL of the following. Output each check result. If any REQUIRED check fails, STOP and report to user. User can say "skip gate" to override (log bypass in output).

    REQUIRED checks (block workflow):

    • At least 1 primary research question + 3 sub-questions defined
    • Scope has both "included" and "excluded" items, each with at least 3 items
    • At least 5 success criteria with measurable metrics
    • Zero unresolved [NEEDS CLARIFICATION] markers
    • Research type is justified (not just selected, but reason explained)

    RECOMMENDED checks (warn only):

    • Ethical considerations section present with content
    • Expected deliverables listed
    • Time boundaries defined

    Output format:

    QUALITY GATE: define → methodology (AI Verification)
    REQUIRED: ✓/✗ [check description]
    ...
    RECOMMENDED: ✓/⚠ [check description]
    RESULT: PASSED / BLOCKED (N REQUIRED failed)
    

    If BLOCKED: Tell user which checks failed, suggest /research.define or /research.refine to fix. Do NOT proceed.

Read the full file on GitHub · 143 lines

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. 3d ago First seen · 143 lines · 8 tokens per session scan A 4df21792b454

Subscribe to this mod's changes

methodology is a command published in the GitHub repository nguyenvanduocit/research-kit (20 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 1,222 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.