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.
npx skills add OutlineDriven/odin-claude-plugin --skill domain-modelinggit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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.
[](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/domain-modeling)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/domain-modeling"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/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.
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/domain-modeling"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00471 |
| Opus 5 | $0.00032 | $0.00235 |
| Sonnet 5 | $0.00013 | $0.00094 |
| Haiku 4.5 | $0.00006 | $0.00047 |
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 9d 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.
What it actually says
Domain modeling
This skill maintains a project's domain glossary. It has nothing to do with the contexts skill, which routes pre-implementation context gathering.
Use this skill to change the model, not merely to read it.
File layout
- For one context, keep
CONTEXT.mdat the repository root. - For several contexts, keep
CONTEXT-MAP.mdat the root. Put each context'sCONTEXT.mdbeside that context's source.
Create these files lazily. Do not create a file until there is something to record.
Load references/CONTEXT-FORMAT.md before creating or updating either format.
Work during the session
- Challenge conflicting terms. Compare each term with the glossary and call out a conflict at once. Example: "The glossary defines cancellation as ending an Order, but this use changes one Line Item. Which meaning is correct?"
- Sharpen fuzzy terms. Replace vague or overloaded language with one canonical term. Example: "Does account mean Customer or User? Pick the domain term that owns this rule."
- Stress-test relationships. Invent an edge case that forces boundaries into view. Example: "If Fulfillment splits one Order across two shipments, when may Billing issue the invoice?"
- Check claims against code. Read the implementation and surface contradictions. Example: "The code cancels the full Order, but the model allows partial cancellation. Which one is authoritative?"
- Update the glossary inline. Write the resolved term to
CONTEXT.mdimmediately. Example: after choosing Customer over account, add Customer and its rejected synonyms before continuing.
CONTEXT.md is a glossary and nothing else. Keep implementation details, specification content, and scratch notes out of it.
Architecture decisions
Use docs-and-adrs/references/adrs.md for the ADR gate and format. Keep the decision criteria in that one place.
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.
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.
- 9d ago First seen · 34 lines · 64 tokens per session scan A 3e1c8e8f0c32
domain-modeling is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 471 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…