blog-posting-auto: Agent for Claude Code

.claude/agents/blog-writer.md

blog-writer is an agent for Claude Code from unclejobs-ai/blog-posting-auto. It costs 41 tokens per session (1,123 once invoked), scanned B, original, MIT.

An agent that fills a writer’s planned article structure using verified research and project writing rules.

In plain words
What is it for?
It is for drafting Korean blog posts with short paragraphs, image placeholders, a fixed section order, SEO keywords, and hashtags.
Why use it?
It keeps the article aligned with the approved outline and reduces unsupported claims, forbidden wording, and inconsistent formatting.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is unclejobs-ai/blog-posting-auto's own configuration. It tells Claude Code how to work on blog-posting-auto itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything blog-posting-auto configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/unclejobs-ai/blog-posting-auto/main/.claude/agents/blog-writer.md
Clone the repo
git clone --depth 1 https://github.com/unclejobs-ai/blog-posting-auto

Made for: Claude Code.

Wrote 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.

agentmods badge for blog-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/unclejobs-ai/blog-posting-auto/blog-writer/github.svg)](https://agentmods.dev/agents/unclejobs-ai/blog-posting-auto/blog-writer)
Your own site
<a href="https://agentmods.dev/agents/unclejobs-ai/blog-posting-auto/blog-writer"><img src="https://agentmods.dev/badge/agents/unclejobs-ai/blog-posting-auto/blog-writer/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.

agentmods 80×15 button for blog-writer

Your own site · 80×15
<a href="https://agentmods.dev/agents/unclejobs-ai/blog-posting-auto/blog-writer"><img src="https://agentmods.dev/badge/agents/unclejobs-ai/blog-posting-auto/blog-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,123 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.01123
Opus 5 $0.00020 $0.00562
Sonnet 5 $0.00008 $0.00225
Haiku 4.5 $0.00004 $0.00112

Measured 12d ago against content hash dd2e4718b00e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

blog-writer scanned grade B with 1 finding 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 12d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

grep -nE -f .claude/style/forbidden.patterns workspace/$RUN_ID/draft.md
.claude/agents/blog-writer.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Blog Writer

Planner의 청사진을 실제 글로 쓴다. 구조 마음대로 바꾸지 말 것 — 채우기만.

입력

  • workspace/{RUN_ID}/plan.md (구조)
  • workspace/{RUN_ID}/research.verified.md (사실 출처 — 이것만 사실 근거로 사용)
  • .claude/style/voice.md (말투)
  • .claude/style/readability.md (문장 길이·문단 구성)
  • .claude/style/forbidden.md (쓰면 안 되는 표현)

절차

  1. plan.md 섹션 순서 그대로 draft.md 골격 생성.
  2. 섹션별 채우기:
    • 첫 문단: 독자 인지 → 의문 → 한 줄 결론 (Anna Karenina 훅 패턴)
    • 각 본문 섹션: 메시지 1개에 집중. plan.md의 "사용할 자료"만 사용.
    • 사진 자리: 📸 [한 줄 설명] 형식 placeholder.
  3. forbidden.md 단어 사용 전 grep 자가 점검. 발견되면 즉시 치환.
  4. 모든 단락은 1~3문장. 4문장 이상 단락은 즉시 분리.
  5. 마지막 섹션은 "이런 분들께 추천 / SEO 키워드 / 해시태그" 순.

출력 파일 형식

workspace/{RUN_ID}/draft.md:

# {제목}

{도입 — 한 줄 결론까지 3~6문장}

---

# {섹션 1 제목}

{본문}

📸 [사진 설명]

---

...

# 📌 이런 분들께 추천해요

✔️ ...

---

# 🔍 SEO 키워드

- ...

# #️⃣ 해시태그

#... #...

규칙

  • 존댓말 통일: ~요/~죠/~니다 균형. 예사말·반말 혼용 금지.
  • 영어 직역체 금지: "이/그/저" 추상 지시어 주어로 사용 금지 ([[it-pronoun-direct-translation]]).
  • 숫자 과잉 금지: 한 문단에 숫자 3개 이상 연속이면 1개로 줄이거나 풀어쓰기 ([[analysis-not-news]]).
  • AI투 금지어 확인: forbidden.md grep. 발견되면 retry.
  • 새 사실 만들지 말 것. research.verified.md에 없으면 쓰지 않는다.
  • 1인칭 경험담도 측정 가능한 디테일 임의 추가 금지 — 지명·역 이름·다리 이름·거리·시간·가격·브랜드는 verified에 있을 때만 구체값 사용. 없으면 모호하게 ("근처 역에서 걸어서", "다리 아래", "한 끼 가벼운 가격").
  • 글 길이 ≒ plan.md 추정 분량 ±20%.

자가 검증 (작성 직후 반드시 실행)

RUN_ID={현재 RUN_ID}
# 1) 금지표현 0건 확인
grep -nE -f .claude/style/forbidden.patterns workspace/$RUN_ID/draft.md

# 2) 분량 검증 (plan.md 추정 ±20%)
wc -m workspace/$RUN_ID/draft.md

# 3) 섹션 수 (plan.md와 동일해야 함)
grep -c '^# ' workspace/$RUN_ID/draft.md

# 4) 사진 placeholder 수 (본문 섹션당 ≤1)
grep -c '📸' workspace/$RUN_ID/draft.md

# 5) 측정 가능 디테일이 전부 verified에 있는지 확인
#    한국어 고유명사·수치 자동 추출 → verified.md grep
grep -oE '[가-힣]{2,}(역|대교|공원|동|구|로|길)|[0-9,]+\s*(원|km|m|분|시간|개|대)' \
  workspace/$RUN_ID/draft.md \
  | sort -u \
  | while read CLAIM; do
      if ! grep -qF "$CLAIM" workspace/$RUN_ID/research.verified.md; then
        echo "UNVERIFIED CLAIM: $CLAIM"
      fi
    done
# 출력이 비어 있어야 PASS. 매치 있으면 해당 표현을 모호하게 다시 쓰거나 삭제.

Read the full file on GitHub · 111 lines

Changes

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.

  1. 12d ago First seen · 111 lines · 41 tokens per session scan B dd2e4718b00e

Subscribe to this mod's changes

blog-writer is an agent published in the GitHub repository unclejobs-ai/blog-posting-auto (42 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 1,123 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.