domain-modeling

domain-modeling is a skill for Codex from OutlineDriven/outline-driven-development. It costs 26 tokens per session (1,173 once invoked), scanned A, original, Apache-2.0.

A glossary tool for defining the words and concepts used in a project. It assigns each term one agreed meaning and records rejected alternatives in CONTEXT.md files.

In plain words
What is it for?
Use it to settle ambiguous domain terms, maintain a shared vocabulary, and check how a term relates to its implementation when the source is available.
Why use it?
It prevents different people or parts of a codebase from using the same word in conflicting ways. The glossary stays separate from implementation details.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to settle ambiguous domain terms, maintain a shared vocabulary, and check how a term relates to its implementation when the source is available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/outline-driven-development/domain-modeling
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 OutlineDriven/outline-driven-development --skill domain-modeling
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/outline-driven-development

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 domain-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/domain-modeling/github.svg)](https://agentmods.dev/skills/outlinedriven/outline-driven-development/domain-modeling)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/domain-modeling"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/domain-modeling/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 domain-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/domain-modeling"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00026 $0.01173
Opus 5 $0.00013 $0.00587
Sonnet 5 $0.00005 $0.00235
Haiku 4.5 $0.00003 $0.00117

Measured 2d ago against content hash e1d5d701d5e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

domain-modeling 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 2d 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.

.devin/skills/domain-modeling/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain modeling

Contract

Field Bound contract
Trigger Pinning down domain terminology, maintaining the domain model, or a term conflict/sharpening need
Authority Reversible local: writes only the named glossary artifacts, CONTEXT.md at the repository root, CONTEXT-MAP.md, and per-context CONTEXT.md files beside their context source; rollback is version control or undo. No remote mutation.
Side effect Lazily creates or updates CONTEXT.md / CONTEXT-MAP.md glossaries and per-context CONTEXT.md files; no other file, VCS, credential, or remote change.
Done Each resolved term recorded in CONTEXT.md with rejected synonyms; glossary stays canonical and implementation-free.

Inputs

Required: the term, conflict, or fuzzy usage to resolve from the current design conversation, plus the human ruling when a conflict needs one. Optional: an existing CONTEXT.md or CONTEXT-MAP.md (absence is normal; files are created lazily) and the implementation source behind a term (when absent or unreadable, skip and report the code cross-check). Scope is limited to terms in the current design work unless the invocation requests a repository-wide glossary sweep.

Procedure

  1. Load the layout. Check the repository root for CONTEXT.md and CONTEXT-MAP.md. CONTEXT.md at the root means one context and one glossary. CONTEXT-MAP.md at the root means several contexts: each context's CONTEXT.md sits beside that context's source, and CONTEXT-MAP.md maps them. Read the applicable glossary before judging any term. If neither exists, create nothing yet. Done when: the layout is determined and the applicable glossary is read (or confirmed absent).
  2. Challenge conflicting terms. Compare each term used in the current design work against the glossary. The moment a use contradicts a glossary entry, state both meanings and ask which one is correct before continuing, for example, a glossary that defines cancellation as ending an Order versus a use that changes one Line Item. Done when: every conflicting term is surfaced with both meanings and the human ruling is requested.
  3. Sharpen fuzzy terms. When a name is vague or overloaded, pick the single domain term that owns the rule; every other name becomes a rejected synonym. Done when: each fuzzy term has one canonical owner and its rejected synonyms are named.
  4. Stress-test relationships. Construct an edge case that exposes a relationship boundary. For example, if one Order is split across two shipments, when may Billing issue the invoice? Resolve which term owns each side of the boundary. Done when: each relationship boundary is resolved with an edge case that exposes it.
  5. Check claims against code. Read the implementation behind each term under resolution. Surface any contradiction between the model and the code, then rule which is authoritative. When the code wins, correct the model term. This skill never edits code. If the implementation is unreadable or absent, skip the cross-check and mark it not performed. Done when: each term's code cross-check is completed or marked not performed with any contradiction surfaced and ruled.
  6. Record each resolution immediately. The moment a term resolves, write an entry to the applicable glossary file with exactly three parts: the canonical term, a one-line definition, and its rejected synonyms. Create CONTEXT.md (one context) or CONTEXT-MAP.md plus the per-context CONTEXT.md (several contexts) only at this first write: never before there is something to record. Done when: each resolved term has a glossary entry with canonical term, one-line definition, and rejected synonyms.
  7. Keep the glossary pure. Entries contain definitions and rejected synonyms only. Refuse implementation details, specification content, and scratch notes in glossary files; put them in their own artifacts or drop them. Done when: every glossary entry contains only definitions and rejected synonyms.

Read the full file on GitHub · 41 lines

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. 2d ago Changed · -26 tokens per session e1d5d701d5e1
  2. 5d ago First seen · 41 lines · 52 tokens per session scan A 3a1718718893

Subscribe to this mod's changes

domain-modeling is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 3d ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,173 once invoked, about $0.0001 per session on Opus 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 2026-09-03.

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