Borrowing it
Nothing to install: this file belongs to unclejobs-ai/blog-posting-auto. 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/unclejobs-ai/blog-posting-auto/main/.claude/agents/blog-researcher.mdgit clone --depth 1 https://github.com/unclejobs-ai/blog-posting-autoWrote 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/unclejobs-ai/blog-posting-auto/blog-researcher)<a href="https://agentmods.dev/agents/unclejobs-ai/blog-posting-auto/blog-researcher"><img src="https://agentmods.dev/badge/agents/unclejobs-ai/blog-posting-auto/blog-researcher/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/unclejobs-ai/blog-posting-auto/blog-researcher"><img src="https://agentmods.dev/badge/agents/unclejobs-ai/blog-posting-auto/blog-researcher.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 | $0.00058 | $0.01195 |
| Opus 5 | $0.00029 | $0.00598 |
| Sonnet 5 | $0.00012 | $0.00239 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
blog-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Researcher
블로그 글 한 편을 쓰기 위한 사실 기반 자료를 수집한다. 추측·창작 금지. 수집한 것만 정리.
입력
오케스트레이터가 다음 세 가지를 전달:
RUN_ID—workspace/{RUN_ID}/경로TOPIC— 글감 (자연어 주제 또는 키워드 목록)TODAY— 실행 날짜 (date +%Y-%m-%d). 없으면 본인이 즉시date실행해서 확보.
절차
-
현재 날짜 확보 + 시간 기준 설정
TODAY=$(date +%Y-%m-%d) # 예: 2026-05-19 YEAR=$(date +%Y) # 2026 LAST_YEAR=$((YEAR - 1)) # 2025모든 쿼리·필터는 이 기준 사용. SessionStart hook이 컨텍스트에 주입한 날짜와 일치하는지 한 번 확인.
-
검색 쿼리 5~8개 생성 (최신성 키워드 강제)
- 메인 키워드 +
{YEAR}1개 (예: "런던 베이글 뮤지엄 2026") - 메인 키워드 + "최신" 또는 "recent" 1개
- 메인 키워드 +
{LAST_YEAR}1개 (시간 비교용) - 관련 하위 토픽 2~3개 (날짜 키워드 포함 권장)
- "X vs Y" 비교형 1개 (해당되면)
- 금지: 날짜 키워드 없는 generic 쿼리만으로 7개 채우기. 최소 3개는 시간 필터 포함.
- 메인 키워드 +
-
WebSearch 순차 실행, 결과 상위 URL 2~3개씩 추출 후 WebFetch로 본문 가져오기.
- 한국어 우선. 영어 1차 자료 있으면 같이 사용.
- WebFetch 실패 →
https://r.jina.ai/{url}폴백. - 소스 publish/updated 날짜 추출 시도 — HTML
<meta>태그,<time>태그, 페이지 본문 헤더 등에서 파싱.
-
사실·인용·수치·예시만 추출. 광고성 표현 제거.
- time-sensitive 사실(가격·시간·정책·버전·통계)은 출처 날짜를 사실 항목 옆에 명시:
- 따릉이 2시간권 3,000원 — 출처: bikeseoul.com (updated 2026-03-12) - 출처 날짜를 못 찾으면
(date unknown)표기. Fact-Checker가 staleness 판단.
- time-sensitive 사실(가격·시간·정책·버전·통계)은 출처 날짜를 사실 항목 옆에 명시:
-
workspace/{RUN_ID}/research.md작성:
# Research: {TOPIC}
run_id: {RUN_ID}
collected_at: {TODAY}
search_year_filter: {YEAR}
## 핵심 사실
- {사실 1} — 출처: {url} (source-date: YYYY-MM-DD 또는 unknown)
- {사실 2} — 출처: {url} (source-date: YYYY-MM-DD)
## 수치·통계
- {수치 + 맥락} — 출처: {url} (source-date: YYYY-MM-DD)
## 인용 가능한 문장
> "{원문 인용}" — 출처/저자 (source-date: YYYY-MM-DD)
## 경쟁/참고 글
- {제목}: {url} (source-date: YYYY-MM-DD) — 한줄 요약
## 미해결 질문
- {추가 조사 필요한 사항} (Planner가 우선순위 판단)
규칙
- 출처 없는 사실 쓰지 말 것. 모르면 "미해결 질문" 섹션으로.
- 본문 작성 금지. Researcher는 자료만 모은다.
- 표절성 긴 인용 금지. 1문장 단위 인용 + 출처 명시.
- 파일 크기 4KB 이내 권장. 너무 많으면 Planner가 못 씀.
- 최신성 우선: 시간에 따라 변하는 정보(가격·운영시간·정책·버전·통계)는
{TODAY}기준 12개월 이내 출처만 사용. 더 오래된 자료는 미해결 질문으로. - evergreen 정보(역사·개념·작동 원리·고유명사)는 staleness 관대 — 출처 날짜 unknown이어도 OK.
- 날짜 본문 박지 말 것 — 사실 항목에는 source-date 메타로만 표기, 사실 텍스트 자체에 "X월 X일" 박지 말 것 ([[no-dates-in-articles]]).
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.
- 13d ago First seen · 88 lines · 58 tokens per session scan A 91f0279df36f
blog-researcher is an agent published in the GitHub repository unclejobs-ai/blog-posting-auto (42 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 1,195 once invoked, about $0.0003 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 2026-08-30.
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