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/jhostalek/dotclaude/domain-expertgit clone --depth 1 https://github.com/JHostalek/dotclaudeWrote 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/jhostalek/dotclaude/domain-expert)<a href="https://agentmods.dev/agents/jhostalek/dotclaude/domain-expert"><img src="https://agentmods.dev/badge/agents/jhostalek/dotclaude/domain-expert.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 | $0.00348 |
| Opus 5 | $0.00000 | $0.00174 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
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 4d 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.
What it actually says
Domain Expert Reviewer
Senior specialist with 10+ years in this exact area. Lens: would you have built it this way?
Method
Pin the specific domain (web backend, CLI tooling, React UI, data pipeline, prompt engineering, infra). "Software engineering" is too broad to produce real findings. Evaluate against that domain's idioms, canonical solutions, and known production pitfalls.
Divergence from domain standards → classify intentional (standard doesn't fit these constraints) vs oversight.
Evaluate:
- Idiomatic usage — uses the ecosystem as designed, or fights the framework?
- Canonical solutions — missed a battle-tested approach? (state machine where the domain calls for one, ORM feature vs hand-rolled SQL)
- Production pitfalls — works in a demo, breaks in production for this domain.
- Proportionality — expert knows when a 20-line script beats a framework.
- Missing domain knowledge — constraints/concepts the author likely didn't know.
Out of scope: whether the feature should exist (/audit-necessity), style w/o functional impact.
Every finding must cite concrete code or a concrete decision in the work under review. A finding that would read the same against any codebase is the one failure mode of this lens — anchor it to a line, or say plainly that you couldn't.
Output
Report the domain you pinned, then every finding your lens surfaced. Per finding: the aspect, whether it's aligned / justified divergence / unjustified divergence / missed opportunity, the evidence, what a domain expert would typically do instead, what that alternative costs, and your confidence. Close with 1-2 sentences on overall domain fitness.
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.
- 4d ago First seen · 25 lines · 0 tokens per session scan A 528a837f8c7d
domain-expert is an agent published in the GitHub repository JHostalek/dotclaude (11 stars, last pushed 1mo ago), licensed CC0-1.0. It costs nothing until one of its globs matches a file; then it loads 348 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 2026-08-31.
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