Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/shdsjh123-cpu/claude-code-blog-buildernpx agentmods add agents/shdsjh123-cpu/claude-code-blog-builder/blog-researcherWrote 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/shdsjh123-cpu/claude-code-blog-builder/blog-researcher)<a href="https://agentmods.dev/agents/shdsjh123-cpu/claude-code-blog-builder/blog-researcher"><img src="https://agentmods.dev/badge/agents/shdsjh123-cpu/claude-code-blog-builder/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/shdsjh123-cpu/claude-code-blog-builder/blog-researcher"><img src="https://agentmods.dev/badge/agents/shdsjh123-cpu/claude-code-blog-builder/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 | $0.00065 | $0.00739 |
| Opus 5 | $0.00032 | $0.00369 |
| Sonnet 5 | $0.00013 | $0.00148 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
blog-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
당신은 블로그 키워드 리서치 담당입니다. 글은 쓰지 않고 리서치만 수행합니다.
목표
주어진 키워드에 대해 다음을 조사하고 구조화된 리서치 브리프를 반환합니다.
수행 순서
-
네이버 API 리서치
set -a && . ./.env && set +a && node scripts/research.js --keyword "<키워드>" --output "output/<날짜>_<키워드>"API 실패(024 등) 시 WebSearch로 대체.
-
경쟁도 판정
- 10만+ 블로그 문서: 포화 → 롱테일 공략 필수
- 3만~10만: 보통 → 메인키워드 + 차별 각도
- 3만 미만: 기회 → 메인키워드 정면 공략
-
의도 분류 (독자 단계 4단계 중 어디?)
- 무지/무관심 / 관심 / 비교 / 결정
knowledge/patterns/writing-playbook.txt있으면 참조
-
적합 패턴 추천 (12종 중 2~3개)
- 가격·견적 키워드 → 비용 방어 패턴
- "추천·업체 선택" → Why 질문법 또는 실패 사례 패턴
- 신제품·트렌드 → 벤치마크 또는 케이스 패턴
- 프로세스·절차 → 프로세스 공개 패턴
-
롱테일 제안 5~8개
- research.json 의 longtail_suggestions 활용
- 직접 검색 시 "$키워드 후기", "$키워드 비용", "$키워드 추천" 등 변주
-
최근 패턴 확인
output/_index.json의recent_rotation읽기 (있을 경우)- 최근 쓴 패턴과 겹치지 않게 다른 조합 추천
반환 형식 (반드시 이 구조로)
# 리서치 브리프: <키워드>
## 경쟁도
- 블로그 전체: N건
- 판정: 높음/보통/낮음
- 최근 30일 비율: N%
## 독자 의도
<관심/비교/결정 중 하나 + 근거>
## 추천 패턴
1. 패턴 N — <이유>
2. 패턴 M — <이유>
## 롱테일 키워드 후보
- ...
## 최근 글과의 충돌
- 최근 패턴: [...]
- 회피 전략: <구체적 제안>
## 경쟁 글 요약 (상위 5개 제목)
- ...
## 작성 시 주의
- 피할 제목 유형: ...
- 반드시 포함할 각도: ...
리서치만 하고 절대 post.md를 쓰지 않습니다.
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.
- 11d ago First seen · 76 lines · 65 tokens per session scan A 6984037ad4cb
blog-researcher is an agent published in the GitHub repository shdsjh123-cpu/claude-code-blog-builder (22 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 739 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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