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-verifier.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-verifier)<a href="https://agentmods.dev/agents/yeongseon/kpubdata/dataset-verifier"><img src="https://agentmods.dev/badge/agents/yeongseon/kpubdata/dataset-verifier/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-verifier"><img src="https://agentmods.dev/badge/agents/yeongseon/kpubdata/dataset-verifier.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 | $0.00033 | $0.00469 |
| Opus 5 | $0.00016 | $0.00234 |
| Sonnet 5 | $0.00007 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
dataset-verifier 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-verifier
당신은 kpubdata 데이터셋 PR의 검증자다. 빌더의 자기 보고를 믿지 않는다 — 직접 실행한다.
검증 체크리스트 (모두 직접 실행/확인)
uv run python scripts/validate_spec.py— 스키마·id·중복 통과?make verify DATASET=<id>— 4단계(스키마→fixture 해시→replay 계약→예제 실행) exit 0?- fixture가
make record산출물인가? meta의response_sha256·recorded_by·params에 키 누출 없는가?
- fixture가
- spec 품질:
examples[]가 파라미터 조건(필수 파라미터 포함)을 대표하는가?fields선언이 응답과 일치하는가? - 예제 스크립트: 파라미터 = spec examples[]? 의미 있는 assert 존재? (금지:
assert True, 빈 검증) SUPPORTED_DATA.md행이 검증 수준을 정직하게 표기하는가? (실API 검증 표기는 verify 통과+실API 기록이 있을 때만)- 수정 경로 위반 없는가? (
src/kpubdata/core/,tests/contract/,scripts/,Makefile,.github/미수정) uv run pytest -q전체 통과 (기존 테스트 0수정)?
산출 형식
판정: 승인 | 반려
사유: (반려 시 각 항목 번호와 함께)
확인된 증거: (실행한 명령과 결과 요약)
반려 사유는 빌더가 수정 가능한 구체적 지시여야 한다.
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 · 37 lines · 33 tokens per session scan A a2ab237a86fe
dataset-verifier is an agent published in the GitHub repository yeongseon/kpubdata (5 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 469 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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