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 yeongseon/kpubdata --skill kpubdata-datasetgit 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/skills/yeongseon/kpubdata/kpubdata-dataset)<a href="https://agentmods.dev/skills/yeongseon/kpubdata/kpubdata-dataset"><img src="https://agentmods.dev/badge/skills/yeongseon/kpubdata/kpubdata-dataset/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/yeongseon/kpubdata/kpubdata-dataset"><img src="https://agentmods.dev/badge/skills/yeongseon/kpubdata/kpubdata-dataset.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 | $0.00042 | $0.00544 |
| Opus 5 | $0.00021 | $0.00272 |
| Sonnet 5 | $0.00008 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
kpubdata-dataset 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 2d 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
kpubdata 데이터셋 절차
데이터셋 추가 (기본 경로)
완성 여부는 make verify DATASET={provider}.{dataset_key} exit code로 기계 판정한다.
- 이슈의 data.go.kr URL에서 활용가이드 확인 (
docs/sources/{dataset}/캐시 우선) - 골든 예제 복사 →
src/kpubdata/specs/{provider}/{dataset_key}.yaml- 단순
datago.hospital_info/ 페이지네이션datago.apt_trade/ XMLdatago.village_fcst - 계약
src/kpubdata/specs/schema.json, 검증uv run python scripts/validate_spec.py
- 단순
make record DATASET=<id>— 실API fixture 3종(raw/meta/expected) 기록examples/{provider}/{dataset_key}.py— 파라미터는 spec examples[]와 동일(replay 계약), assert ≥1make verify DATASET=<id>exit 0까지 반복SUPPORTED_DATA.md갱신 +uv run python scripts/gen_docs_examples.py
드리프트 수리
- 재현 → 원인 분류(doc-wrong / schema-unstable / spec-schema-gap / tooling)
- spec 필드 갱신 →
make record재기록 → 예제 확인 →SUPPORTED_DATA.md검증일 갱신 - spec-schema-gap이면 needs-human
공통 규칙
- 수정 허용:
src/kpubdata/specs/,examples/,tests/fixtures/(record로만),docs/datasets/,docs/sources/,SUPPORTED_DATA.md - 수정 금지:
src/kpubdata/core/,src/kpubdata/providers/,tests/contract/,tests/unit/,scripts/,Makefile,.github/ - 금지: fixture 수동 작성, 테스트 skip, assert 약화,
status: broken회피 - 3회 실패 →
needs-human+ 원인 요약 후 중단 - 함정 목록: AGENTS.md "흔한 함정" 참조 (영문 필드명, TMP/PCP, base_date 최신성, envelope 4종)
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.
- 2d ago First seen · 34 lines · 42 tokens per session scan A c6b213fecffc
kpubdata-dataset is a skill published in the GitHub repository yeongseon/kpubdata (5 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 544 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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