Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/darellchua2/opencode-config-templatenpx agentmods add skills/darellchua2/opencode-config-template/domain-modeling-skillWrote 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/darellchua2/opencode-config-template/domain-modeling-skill)<a href="https://agentmods.dev/skills/darellchua2/opencode-config-template/domain-modeling-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/domain-modeling-skill.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00038 | $0.02527 |
| Opus 5 | $0.00019 | $0.01264 |
| Sonnet 5 | $0.00008 | $0.00505 |
| Haiku 4.5 | $0.00004 | $0.00253 |
Grade A, and why
domain-modeling-skill 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.
How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What I do
I actively build and sharpen the project's domain model as you design. This is the active discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise.
Merely reading CONTEXT.md for vocabulary is NOT this skill — that's a one-line habit any skill can do. I am for when you're changing the model, not just consuming it.
- Challenge terms against the existing glossary and surface contradictions immediately
- Sharpen fuzzy language by proposing precise canonical terms
- Stress-test with scenarios that probe edge cases and force precision about concept boundaries
- Cross-reference with code — when the user states how something works, verify the code agrees
- Update CONTEXT.md inline — capture resolved terms immediately, never batch them
- Offer ADRs sparingly — only when a decision is hard-to-reverse, surprising, and a real trade-off
I am the docs engine (model-invoked). grill-with-docs-skill pairs me with grilling-skill so docs are captured during the interview.
When to use me
Use this skill when:
- The user introduces or disputes domain terminology
- A ubiquitous language needs to be established or sharpened
- An architectural decision has just been made and may warrant an ADR
- Another skill (e.g.
grill-with-docs-skill) delegates doc maintenance during a session - Code contradicts the user's stated understanding of how the system works
Trigger phrases:
- "let's define our terms"
- "that should be an ADR"
- "update CONTEXT.md"
- "is that the right word for"
- "capture this decision"
- "ubiquitous language"
File Structure
Single-context repos (most repos)
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
Multi-context repos
If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts. The map points to where each one lives:
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.
- 3d ago First seen · 263 lines · 38 tokens per session scan A 0407f47e7cc1
domain-modeling-skill is a skill published in the GitHub repository darellchua2/opencode-config-template (6 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 2,527 once invoked, about $0.0002 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.
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…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…