lov-article-creator

lov-article-creator is a skill for Claude Code, Codex from lovstudio/skills. It costs 75 tokens per session (4,348 once invoked), scanned A, original, MIT.

A skill that turns source material or a draft into a complete, branded WeChat public-account article package.

In plain words
What is it for?
Use it to create or rewrite an article, prepare a wide cover and a 4:3 body image, add sources and publishing metadata, or audit and faithfully repost an existing article.
Why use it?
It combines the writing, visual, source, metadata, and quality-check work needed before publication.

Skill for Claude CodeCodex

Part of the content-creation plugin — 16 skills shipped together

Install

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.

agentmods
npx agentmods add skills/lovstudio/skills/article-creator
Any agent
npx skills add lovstudio/skills --skill article-creator
Clone the repo
git clone --depth 1 https://github.com/lovstudio/skills

Made for: Claude Code, Codex.

Or install content-creation, the plugin that ships this one along with the rest of its 16 skills.

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 lov-article-creator

README.md
[![agentmods](https://agentmods.dev/badge/skills/lovstudio/skills/article-creator.svg)](https://agentmods.dev/skills/lovstudio/skills/article-creator)
Your own site
<a href="https://agentmods.dev/skills/lovstudio/skills/article-creator"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/article-creator.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,348 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00075 $0.04348
Opus 5 $0.00037 $0.02174
Sonnet 5 $0.00015 $0.00870
Haiku 4.5 $0.00007 $0.00435

Measured yesterday against content hash b41e7f126c5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lov-article-creator 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 yesterday.

The scan reads SKILL.md. This mod also ships 8 executable files (cases/agent-harness-system-prompt/prompts/claude-code-2.1.88-system-prompt-builder.ts, cases/agent-harness-system-prompt/prompts/pi-0.73.1-system-prompt-builder.ts, scripts/audit_repost.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/article-creator/SKILL.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lov-article-creator

把零散事实、研究材料或现有草稿变成一套可交付的公众号文章包,而不只是写出一段 Markdown。

每次完整交付同时包含:经过事实约束的正文、题材适配的编辑模板、品牌化横版封面、独立的 4:3 横向正文首图、来源与发布元数据,以及一份可回读的验收报告。

Triggers

Activate when

  • “按我的文风写一篇公众号文章,并配好封面和正文首图。”
  • “把这些研究材料做成统一品牌的公众号长文。”
  • “Create a branded WeChat article package from these notes.”
  • “Turn this draft into a publish-ready WeChat article with a wide cover and a 4:3 body hero.”
  • “把这篇现有 Markdown 做成完整的品牌化公众号版本。”
  • “忠实转载这篇合作方文章,保留原文并加入我们的开场和收尾。”

Do not activate when

  • 只要求改写一段文字或匹配个人语气,不需要公众号模板与视觉包;使用写作风格能力。
  • 只要求读取、修改或核验公众号后台已有草稿;使用 lov-publish-wechat-article 的 existing-draft 管线。
  • 只要求把现成文件写入草稿箱或正式发布;使用公众号发布能力。
  • 只要求生成一张孤立图片,且不需要文章级命题、品牌与双比例验收。

Product contract

  • One article, one package. 正文、来源、封面、首图和验收记录位于同一文章目录。
  • Facts before voice. 先建立事实账本,再套用文风;不得用第一人称补造经历、数字或判断变化。
  • Objective before outline. 先明确创作条件、动机、传播目标与 desired_reader_change,再决定结构。用户给出的命题、开头、章节或草稿是重要约束和证据,不自动等于已经充分、正确的传播策略。
  • One writing owner. 新写与改写必须调用 lov-writing-style;其内部调用唯一的反 AI / 作者性规则源 lov-human-writing。本 Skill 只拥有公众号题材、结构、品牌和制品规则,不复制通用文风规则。
  • Template is semantic. 固定的是信息顺序、证据门槛与品牌组件,不强迫所有题材使用同一组空洞标题。
  • Heading roles stay separate. 文件名、平台标题、正文 H1、章节 H2/H3 与 TOC 标签是不同制品。章节标题负责划分读者的认知阶段并逐步引人进入,不负责压缩段落;TOC 只镜像最终章节结构,不反向决定正文。
  • Brand comes from Profile. 发布主体、Logo、官网、色彩和禁用信息从共享 Profile 解析,不把用户私有路径写入公开文章或 Skill 源码。
  • Two image roles are mandatory. 完整管线必须输出 2.35:1 分享封面和独立的 4:3 横向正文首图;不得把分享封面成品直接当正文首图。
  • Benchmark claims require benchmark evidence. 文章一旦给出排名、雷达图或量化优劣,就必须在结果之前公开测试对象、输入、完整 Prompt、执行环境、评价指标、评分规则、至少一个逐项算分示例和复现方法;分数不得先于方法出现。
  • Publication identity wins. 公众号发布主体与母品牌分开;封面只使用发布主体官方白色横向 lockup,方形图标、母品牌 Logo 和橙色变体都不能替代。
  • Generated is not accepted. 文件存在不等于完成;必须通过尺寸、引用、事实、品牌和移动阅读质量门。
  • Publishing is separate. 默认止于本地可发布文章包;写入草稿箱或正式发布需要明确授权,并交给下游发布能力。
  • Platform title is not body content. canonical Markdown 保留唯一 H1 作为标题真源;写入微信公众号时,标题进入平台标题字段,正文默认隐藏该 H1,避免首图前重复出现同名标题。
  • References stay quiet. 正文中穿插的资料来源、补充链接和引申阅读默认使用低对比度的小字斜体资料注,不与章节标题、正文论点或主要行动入口争夺视觉层级。
  • Repost source is frozen. 转载时来源正文是逐字冻结区;作者性优化只作用于发布方新增区块,且 copyrightMode 固定为 reprint

Read the full file on GitHub · 256 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 256 lines · 75 tokens per session scan A b41e7f126c5b

Subscribe to this mod's changes

lov-article-creator is a skill published in the GitHub repository lovstudio/skills (64 stars, last pushed 2d ago), licensed MIT. It adds 75 tokens to every session and 4,348 once invoked, about $0.0004 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 2026-09-03.

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