research-domain

research-domain is a skill for Codex from ashermahonin/agentic-skills. It costs 68 tokens per session (419 once invoked), scanned A, original, MIT.

A research method for understanding an unfamiliar industry or field before defining requirements or architecture. It maps users, terminology, workflows, constraints, risks, and assumptions.

In plain words
What is it for?
Researching domain facts, user jobs, practical workflows, external constraints, misunderstood terms, assumptions needing validation, and testable risks.
Why use it?
It reduces the chance of building around incorrect ideas about users, regulations, integrations, or how work is actually done.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Researching domain facts, user jobs, practical workflows, external constraints, misunderstood terms, assumptions needing validation, and testable risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ashermahonin/agentic-skills/research-domain
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.

Any agent
npx skills add ashermahonin/agentic-skills --skill research-domain
Clone the repo
git clone --depth 1 https://github.com/ashermahonin/agentic-skills

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-domain

README.md
[![agentmods](https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/research-domain/github.svg)](https://agentmods.dev/skills/ashermahonin/agentic-skills/research-domain)
Your own site
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/research-domain"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/research-domain/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.

agentmods 80×15 button for research-domain

Your own site · 80×15
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/research-domain"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/research-domain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 419 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 original No closer match found 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 $0.00068 $0.00419
Opus 5.5 $0.00027 $0.00168
Sonnet 5.5 $0.00014 $0.00084
Haiku 4.5 $0.00007 $0.00042

Measured 2mo ago against content hash 2c69d813c623, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-domain 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.

agentic/skills/research-domain/SKILL.md · 53 lines

What it actually says

Research Domain

Purpose

Give the project a grounded map of the world it is entering. Keep the work curious, skeptical, and useful: enough context to make better decisions, not a literature review for its own sake.

Inputs

  • Name the target users and the work they are trying to get done.
  • List domain terms that could be misunderstood.
  • Identify external constraints: law, standards, workflows, integrations, procurement, trust, or operational habits.
  • Separate confirmed facts from assumptions that need validation.

Decision process

  1. Collect domain facts from provided docs, repo notes, user context, and current public sources when the topic is time-sensitive.
  2. Summarize user workflows and pain points as practical situations.
  3. Capture constraints that should influence requirements, architecture, or UX.
  4. Write risks as testable concerns, not vague worries.
  5. Pass only relevant findings forward; avoid dumping research into the main context.

Decision boundaries

  • Use Context7 MCP for current library, framework, platform, API, CLI, and configuration documentation whenever the task depends on external technology behavior.

Decision record

  • Domain summary
  • User and operator map
  • Terminology list
  • Constraints and assumptions
  • Risks and validation questions

Ready when

  • Use specific language from the domain when it matters.
  • Do not turn weak assumptions into confident requirements.
  • Connect each major finding to a product or engineering implication.
  • Keep citations or source notes when freshness matters.

Handoff

Hand off the findings that directly affect product scope, quality scenarios, architecture, or risk.

References

  • references/domain-output.md: Use this structure for 05-domain-research.md.
Files

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.

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. 2mo ago First seen · 53 lines · 68 tokens per session scan A 2c69d813c623

Subscribe to this mod's changes

research-domain is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 419 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.

Related

research-domain compared with skills from other repositories

research-domain next to 6 skills from other repositories
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research-domainashermahonin/agentic-skillsSkill102mo agoMITA68Codex
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