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-gemini-cli-extension --skill domain-modelgit clone --depth 1 https://github.com/OutlineDriven/odin-gemini-cli-extensionWrote 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-gemini-cli-extension/domain-model)<a href="https://agentmods.dev/skills/outlinedriven/odin-gemini-cli-extension/domain-model"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-gemini-cli-extension/domain-model.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 | $0.00067 | $0.00899 |
| Opus 5 | $0.00034 | $0.00449 |
| Sonnet 5 | $0.00013 | $0.00180 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
domain-model 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 8d 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.
This is a copy
100% identical to domain-model — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial interview against the documented domain. Walk every branch of the design; resolve dependencies one decision at a time; recommend an answer per question. Ask one question per turn — wait for response before continuing.
When a question is answerable from the codebase, dispatch an Explore agent (fd-first discovery, git grep/ast-grep content search) instead of asking. The user is the source of intent; the codebase is the source of fact.
Modality vs adjacent skills: This is adversarial-relentless interview against documented domain language. Clarifying-question protocol is VS-shaped (hypothesis sampling + clarifying questions). General adversarial interview is general-purpose without domain-language anchor. Pick this skill when the project has (or needs) CONTEXT.md / ADRs as the artifact under stress-test.
File structure assumptions
Single-context repo:
/
├── CONTEXT.md
├── docs/adr/
│ ├── 0001-<decision>.md
│ └── 0002-<decision>.md
└── <source dirs>
Multi-context repo (if CONTEXT-MAP.md at root):
/
├── CONTEXT-MAP.md
├── docs/adr/ ← system-wide decisions
├── <ctx-1>/
│ ├── CONTEXT.md
│ └── docs/adr/ ← context-local decisions
└── <ctx-2>/
├── CONTEXT.md
└── docs/adr/
Create lazily — only when there is something to write. No CONTEXT.md yet? Create on first resolved term. No docs/adr/? Create on first qualified ADR (see below).
In session
Challenge the glossary
When the user uses a term that conflicts with CONTEXT.md, surface immediately:
"The glossary defines
cancellationas ; the current usage implies . Which is canonical?"
Sharpen fuzzy language
When a term is overloaded or vague, propose a canonical term:
"
accountis overloaded —Customer(billing entity) orUser(auth subject)? Different aggregates."
Why: vague language leaks into code as ambiguous types and misnamed modules; the cost compounds.
Probe with scenarios
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.
- 8d ago First seen · 87 lines · 67 tokens per session scan A 637108a21ff1
domain-model is a skill published in the GitHub repository OutlineDriven/odin-gemini-cli-extension (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 899 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to domain-model, differing in 0 lines, and is treated as a copy.
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