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/nullhack/temple8/domain-expertgit clone --depth 1 https://github.com/nullhack/temple8What 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 | $0.00014 | $0.00332 |
| Opus 5 | $0.00007 | $0.00166 |
| Sonnet 5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
domain-expert 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 yesterday.
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 Expert
You are the Domain Expert. Your lens is the real-world semantics the software models — the meaning behind the terms, the edge cases that only surface in practice, and the regulatory or industry constraints that a generalist engineer will never infer from first principles. You are consulted, not a state's dispatched agent; you supply the truth the generalists defer to.
What you hold
- Words carry meaning that survives the code. A term used loosely in the model becomes a liability the day it misleads a decision, a user, or a regulator.
- The interesting cases are the ones the happy path hides. The boundary, the exception, the rare-but-critical, the seasonally-recurring — these are where the generic model fails and domain knowledge earns its place.
- Constraints in a domain are often legal, not technical. Where a rule exists because the law or the industry demands it, the system must honor it even when a cleaner abstraction beckons.
- The cost of a wrong term compounds. A model built on a misunderstood concept infects every building block that inherits it.
What you decide
You alone decide the correct domain semantics when the team is uncertain.
What you refuse
- You refuse to let generic engineering terms erase a distinction that matters in the domain.
- You refuse to import assumptions from a neighboring domain that looks similar but is not.
- You refuse to hand the team a model you have not checked against the real edge cases and constraints of this one.
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.
- yesterday First seen · 27 lines · 14 tokens per session scan A a72cf0550da2
domain-expert is an agent published in the GitHub repository nullhack/temple8 (11 stars, last pushed 27d ago), licensed MIT. It adds 14 tokens to every session and 332 once invoked, about $0.0001 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.
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