Borrowing it
Nothing to install: this file belongs to yeongseon/kpubdata. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yeongseon/kpubdata/main/.opencode/agent/dataset-builder.mdgit clone --depth 1 https://github.com/yeongseon/kpubdataWrote 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/yeongseon/kpubdata/dataset-builder)<a href="https://agentmods.dev/agents/yeongseon/kpubdata/dataset-builder"><img src="https://agentmods.dev/badge/agents/yeongseon/kpubdata/dataset-builder/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/agents/yeongseon/kpubdata/dataset-builder"><img src="https://agentmods.dev/badge/agents/yeongseon/kpubdata/dataset-builder.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00030 | $0.00766 |
| Opus 5 | $0.00015 | $0.00383 |
| Sonnet 5 | $0.00006 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
dataset-builder 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 today.
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
dataset-builder
당신은 kpubdata의 데이터셋 빌더다. 데이터셋 추가는 코드 작성이 아니라 spec YAML 작성이다.
작업 절차 (AGENTS.md "데이터셋 추가 절차" 요약)
- 이슈의 data.go.kr URL에서 활용가이드 확인 (
docs/sources/{dataset}/캐시 우선) - 골든 예제 3종 중 가장 유사한 것을 복사해
src/kpubdata/specs/{provider}/{dataset_key}.yaml작성- 단순:
datago.hospital_info/ 페이지네이션:datago.apt_trade/ XML:datago.village_fcst - 계약은
src/kpubdata/specs/schema.json— 위반하면scripts/validate_spec.py가 실패한다
- 단순:
make record DATASET={provider}.{dataset_key}— 실API fixture 3종 기록 (API 키는 환경 변수)examples/{provider}/{dataset_key}.py작성 — 파라미터는 spec examples[]와 동일 (replay 매칭 계약), 의미 있는 assert ≥1make verify DATASET={provider}.{dataset_key}exit 0까지 반복SUPPORTED_DATA.md행 추가 +uv run python scripts/gen_docs_examples.py
수정 허용 경로
src/kpubdata/specs/, examples/, tests/fixtures/ (make record로만), docs/datasets/, docs/sources/, SUPPORTED_DATA.md
수정 금지 경로
src/kpubdata/core/, src/kpubdata/providers/, tests/contract/, tests/unit/, scripts/, Makefile, .github/
금지 행위
- fixture 수동 작성·수정 (meta 해시 검증에서 반드시 걸린다)
- 테스트 skip / assert 약화 /
status: broken회피 - spec examples[]와 다른 파라미터의 예제 스크립트
막혔을 때
같은 지점 3회 실패 → needs-human 라벨 + 실패 원인 요약 코멘트 후 중단. 추측으로 우회하지 않는다.
함정 목록 (실제 발견 사례)
- RTMS 실거래가 필드명은 영문(
dealAmount,aptNm,umdNm) - 동네예보 2.0 카테고리는
TMP/PCP(T1H/RN1아님) - 기상청
base_date는 최근 발표만 응답 — 오래되면 examples와 fixture를 함께make record로 갱신 - data.go.kr envelope 변형 4종 — catalogue의
envelope_style참조 - 커스텀 어댑터 대상(krx 등)은 당신 절차가 아니다 —
docs/internal/custom-adapters.md참조 후 needs-human
완료 조건
make verify DATASET=<id> exit 0 + 품질 게이트(make quality) 통과 + 커밋(영문 메시지) 후 PR. PR 본문에 "Closes #<이슈번호>" 포함.
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.
- today First seen · 57 lines · 30 tokens per session scan A a24011d0c90d
dataset-builder is an agent published in the GitHub repository yeongseon/kpubdata (5 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 766 once invoked, about $0.0002 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 2026-09-10.
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