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 dembrandt/dembrandt-skills --skill domain-expert-configurationgit clone --depth 1 https://github.com/dembrandt/dembrandt-skillsWrote 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/dembrandt/dembrandt-skills/domain-expert-configuration)<a href="https://agentmods.dev/skills/dembrandt/dembrandt-skills/domain-expert-configuration"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/domain-expert-configuration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dembrandt/dembrandt-skills/domain-expert-configuration"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/domain-expert-configuration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00077 | $0.01840 |
| Opus 5 | $0.00039 | $0.00920 |
| Sonnet 5 | $0.00015 | $0.00368 |
| Haiku 4.5 | $0.00008 | $0.00184 |
Grade A, and why
domain-expert-configuration 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Expert Configuration
A domain expert configuration UI exposes the parameters of a complex system — an optimisation algorithm, a planning engine, a simulation — to users who understand the problem domain deeply but have no knowledge of the system's internals.
The challenge: the system's parameters are defined in technical terms (weights, thresholds, flags, tolerances). The user thinks in domain terms (how long to wait, when to retry, how to group results). The UI must translate between these two vocabularies — always favouring the user's language.
The Core Principle: Domain Language Over Technical Language
Every parameter label, tooltip, and error message should describe what the parameter means in the user's world, not what it does inside the system.
| Technical label | Domain label |
|---|---|
max_concurrent_jobs |
Maximum tasks running at once |
enable_auto_retry |
Retry failed tasks automatically |
batch_allocation_threshold |
Start a new batch after (% filled) |
request_timeout_ms |
Maximum wait per request (seconds) |
enable_fuzzy_matching |
Allow approximate matches |
If you cannot write a domain label for a parameter, question whether the user should be exposed to it at all. Parameters that cannot be explained in domain terms belong in a developer configuration file, not in the user-facing UI.
Grouping by Domain Concept
Parameters should be grouped by the aspect of the real-world problem they control — not by their technical category (booleans together, numbers together) and not alphabetically.
A processing tool might group as:
Processing limits
└─ Maximum tasks at once
└─ Maximum wait per request
└─ Memory ceiling
Matching rules
└─ Allow approximate matches
└─ Case sensitivity
└─ Required fields
Batching behaviour
└─ Batch fill threshold
└─ Maximum batches
Each group should have a short heading that describes what aspect of the task it controls, not what kind of parameter it is.
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.
- 12d ago First seen · 196 lines · 77 tokens per session scan A 3c20382bc5d6
domain-expert-configuration is a skill published in the GitHub repository dembrandt/dembrandt-skills (54 stars, last pushed 2d ago), licensed MIT. It adds 77 tokens to every session and 1,840 once invoked, about $0.0004 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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