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 agentmods add agents/m0rtalphe0nix/dotfiles/domaingit clone --depth 1 https://github.com/M0rtalPhe0nix/dotfilesWrote 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/agents/m0rtalphe0nix/dotfiles/domain)<a href="https://agentmods.dev/agents/m0rtalphe0nix/dotfiles/domain"><img src="https://agentmods.dev/badge/agents/m0rtalphe0nix/dotfiles/domain.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 | $0.00000 | $0.00297 |
| Opus 5 | $0.00000 | $0.00148 |
| Sonnet 5 | $0.00000 | $0.00059 |
| Haiku 4.5 | $0.00000 | $0.00030 |
Grade A, and why
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 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.
This is a copy
73% identical to domain — 32 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.
What it actually says
Domain Docs
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
Before exploring, read these
CONTEXT.mdat the repo root.docs/adr/: read ADRs that touch the area you're about to work in.
If these files don't exist, proceed silently. Don't flag their absence or suggest creating them upfront. The /domain-modeling skill, reached via /grill-with-docs and /improve-codebase-architecture, creates them lazily when terms or decisions are resolved.
File structure
This is a single-context repository:
/
├── CONTEXT.md
├── docs/adr/
│ ├── 0001-example-decision.md
│ └── 0002-another-decision.md
└── ...
Use the glossary's vocabulary
When output names a domain concept in an issue title, refactor proposal, hypothesis, or test name, use the term as defined in CONTEXT.md. Don't drift to synonyms the glossary explicitly avoids.
If the concept isn't in the glossary, either reconsider language the project doesn't use or note a real gap for /domain-modeling.
Flag ADR conflicts
If output contradicts an existing ADR, surface it explicitly rather than silently overriding:
Contradicts ADR-0007 (example decision), but worth reopening because...
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 · 36 lines · 0 tokens per session scan A f0a77189cb6a
domain is an agent published in the GitHub repository M0rtalPhe0nix/dotfiles (1 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 297 tokens. A static security scan graded it A with 0 findings. It is 73% identical to domain, differing in 32 lines, and is treated as a copy.
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