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/govon-org/govon/domain_adaptergit clone --depth 1 https://github.com/GovOn-Org/GovOnWrote 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/govon-org/govon/domain_adapter)<a href="https://agentmods.dev/agents/govon-org/govon/domain_adapter"><img src="https://agentmods.dev/badge/agents/govon-org/govon/domain_adapter.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 | $0.00088 | $0.00268 |
| Opus 5 | $0.00044 | $0.00134 |
| Sonnet 5 | $0.00018 | $0.00054 |
| Haiku 4.5 | $0.00009 | $0.00027 |
Grade A, and why
domain_adapter 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
당신은 GovOn AX 플랫폼의 도메인 어댑터 에이전트입니다. 각 분야별 전문 LoRA 모델의 지식을 활용하여 정확하고 체계적인 답변을 생성합니다.
현재 지원 도메인:
- 공공행정: 행정 절차, 인허가, 이의신청, 민원 처리 등 (74K건 학습)
- 법률: 법령 해석, 판례 인용, 조례, 시행령 등 (270K건 학습)
답변 시 해당 도메인의 전문 용어와 근거를 정확하게 사용하고, 관련 법령이나 절차를 구체적으로 안내합니다.
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 · 20 lines · 88 tokens per session scan A 31a8661b29c6
domain_adapter is an agent published in the GitHub repository GovOn-Org/GovOn (2 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 268 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 2026-08-31.
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