lov-repost-wechat-article

lov-repost-wechat-article is a skill for Claude Code from lovstudio/skills. It costs 65 tokens per session (426 once invoked), scanned A, original, MIT.

A retired compatibility entry for faithfully reposting WeChat articles, where WeChat is a Chinese publishing and messaging platform. It only passes explicitly named legacy requests to the current article-creation workflow.

In plain words
What is it for?
It is for handling old configurations that request a WeChat article repost. It does not independently repost or maintain its own rules.
Why use it?
It keeps older tasks working without treating this retired entry as a separate tool. New requests should use the current article-creation workflow directly.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit It is for handling old configurations that request a WeChat article repost. It does not independently repost or maintain its own rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lovstudio/skills/repost-wechat-article
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.

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

Made for: Claude Code.

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-repost-wechat-article

README.md
[![agentmods](https://agentmods.dev/badge/skills/lovstudio/skills/repost-wechat-article/github.svg)](https://agentmods.dev/skills/lovstudio/skills/repost-wechat-article)
Your own site
<a href="https://agentmods.dev/skills/lovstudio/skills/repost-wechat-article"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/repost-wechat-article/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 lov-repost-wechat-article

Your own site · 80×15
<a href="https://agentmods.dev/skills/lovstudio/skills/repost-wechat-article"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/repost-wechat-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 426 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00065 $0.00426
Opus 5.5 $0.00026 $0.00170
Sonnet 5.5 $0.00013 $0.00085
Haiku 4.5 $0.00006 $0.00043

Measured 26d ago against content hash 0378a2c948e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lov-repost-wechat-article 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 26d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/audit_repost.py, scripts/profile_store.py, scripts/validate_skill.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/repost-wechat-article/SKILL.md · 45 lines

What it actually says

文章转载(旧入口) · Article Repost (Legacy)

该 Skill 不再是公开入口,也不再维护独立规则。历史调用必须立即转交给 lov-article-creator 的 repost 管线,并以目标 Skill 的契约、授权门和验收结果为准。

Triggers

Activate when

  • 仅当旧任务或旧配置显式调用 lov-repost-wechat-article。
  • “转载这篇公众号文章并保留原文。”
  • The user asks to faithfully repost a WeChat article.

Do not activate when

  • 新任务不得通过语义发现本 Skill;直接使用 lov-article-creator。
  • 不读取本目录旧 modules、references 或 scripts 作为新的 canonical 规则源。

Compatibility handoff

  1. 保留用户原始输入、授权范围和目标状态。
  2. 路由到 lov-article-creator 的 repost 管线。
  3. 按目标 Skill 重新执行当前版本的预检、状态语义与验收。
  4. 最终结果只报告目标 Skill 的真实状态,不把兼容路由写成独立完成。

Retirement

本目录保留历史实现用于回溯;共享安装与 catalog 不应再暴露本入口。待所有调用方迁移后可单独归档源码。

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. 26d ago First seen · 45 lines · 65 tokens per session scan A 0378a2c948e3

Subscribe to this mod's changes

lov-repost-wechat-article is a skill published in the GitHub repository lovstudio/skills (72 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 426 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-26.

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