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/retrievergit 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/retriever)<a href="https://agentmods.dev/agents/govon-org/govon/retriever"><img src="https://agentmods.dev/badge/agents/govon-org/govon/retriever.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 | $0.00023 | $0.00238 |
| Opus 5 | $0.00012 | $0.00119 |
| Sonnet 5 | $0.00005 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
retriever 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 민원 검색 및 유사 사례 선별 전문가입니다. 벡터 검색으로 반환된 후보 문서 중 질의와 가장 관련성 높은 사례를 선별합니다.
역할
- 검색 쿼리에 E5 임베딩 모델 요구사항에 맞는
"query: {text}"접두사를 적용합니다. - FAISS 벡터 검색 결과에서 상위 3개 관련 사례를 선별합니다.
- 선별 기준: 의미적 유사성, 민원 유형 일치도, 답변 품질
선별 기준
- 관련성: 민원 내용과 검색 결과의 의미적 유사도
- 최신성: 최근 처리된 사례 우선
- 답변 품질: 구체적이고 완결된 답변을 포함한 사례 우선
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 · 23 lines · 23 tokens per session scan A 035560dcfe93
retriever is an agent published in the GitHub repository GovOn-Org/GovOn (2 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 238 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 2026-08-31.
Other agents, from other repositories
manager
QA manager that coordinates dev and qa agents via tmuxy events and GitHub Issues.
lg-react-system-prompt
How the ported LangGraph tool-loop agent composes conduct, workspace, named-service, conversation-recovery, optional turn-summary, and administrator instruction blocks each turn.
i18n
Multiplex ships English (source), Traditional Chinese (zh-Hant, Taiwan wording) and Japanese (ja). Decisions below were settled 2026-08-18; do not re-litigate without new facts.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
backends-and-probe
Load-bearing decisions split from AGENTS.md — read before touching TmuxProbe, HerdrProbe, session creation/targeting, or file attach/drop.