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/hmj1026/dhpk/domaingit clone --depth 1 https://github.com/hmj1026/dhpkWrote 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/hmj1026/dhpk/domain)<a href="https://agentmods.dev/agents/hmj1026/dhpk/domain"><img src="https://agentmods.dev/badge/agents/hmj1026/dhpk/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 5.1 | $0.00000 | $0.00399 |
| Opus 5 | $0.00000 | $0.00199 |
| Sonnet 5 | $0.00000 | $0.00080 |
| Haiku 4.5 | $0.00000 | $0.00040 |
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 today.
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 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, orCONTEXT-MAP.mdat the repo root if it exists: it points at oneCONTEXT.mdper context. Read each one relevant to the topic.docs/adr/: read ADRs that touch the area you're about to work in. In multi-context repos, also checksrc/<context>/docs/adr/for context-scoped decisions.
If any of these files don't exist, proceed silently. Don't flag their absence or suggest creating them upfront. The /domain-modeling skill creates them lazily when terms or decisions are resolved.
File structure
Single-context repo:
/
├── CONTEXT.md
├── docs/adr/
└── src/
Multi-context repo (presence of CONTEXT-MAP.md at the root):
/
├── CONTEXT-MAP.md
├── docs/adr/ # system-wide decisions
└── src/
├── ordering/
│ ├── CONTEXT.md
│ └── docs/adr/ # context-specific decisions
└── billing/
├── CONTEXT.md
└── docs/adr/
When CONTEXT-MAP.md exists, read it first and then load the context-specific
glossary and ADRs relevant to the work.
Use the glossary's vocabulary
When output names a domain concept, use the term as defined in CONTEXT.md. If the concept you need isn't in the glossary yet, reconsider the terminology or note the gap for /domain-modeling.
Flag ADR conflicts
If output contradicts an existing ADR, surface it explicitly rather than silently overriding.
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.
- today First seen · 49 lines · 0 tokens per session scan A e2fec71bc9a9
domain is an agent published in the GitHub repository hmj1026/dhpk (2 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 399 tokens. 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 2026-09-05.
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