xianyu-feed

xianyu-feed is a skill for Claude Code from ioioiioo12138/claude-xianyu-plugin. It costs 68 tokens per session (745 once invoked), scanned A, original, MIT.

A writing guide for promotional posts on 闲鱼, a Chinese marketplace where people buy and sell goods. It provides templates for sharing experiences, recommending tool collections, and relating to common problems.

In plain words
What is it for?
Use it to write 100–200-character Chinese promotional posts with practical details, search-friendly tags, varied templates, and suggested posting times.
Why use it?
It helps turn product information into a searchable, informal post that fits 闲鱼’s feed style instead of sounding like a hard advertisement.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the xianyu plugin — 3 skills, 1 MCP server shipped together

Good fit Use it to write 100–200-character Chinese promotional posts with practical details, search-friendly tags, varied templates, and suggested posting times.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed
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 ioioiioo12138/claude-xianyu-plugin --skill xianyu-feed
Clone the repo
git clone --depth 1 https://github.com/ioioiioo12138/claude-xianyu-plugin

Made for: Claude Code.

Or install xianyu, the plugin that ships this one along with the rest of its 3 skills, 1 MCP server.

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 xianyu-feed

README.md
[![agentmods](https://agentmods.dev/badge/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed/github.svg)](https://agentmods.dev/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed)
Your own site
<a href="https://agentmods.dev/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed"><img src="https://agentmods.dev/badge/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed/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 xianyu-feed

Your own site · 80×15
<a href="https://agentmods.dev/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed"><img src="https://agentmods.dev/badge/skills/ioioiioo12138/claude-xianyu-plugin/xianyu-feed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 745 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 $0.00068 $0.00745
Opus 5 $0.00034 $0.00373
Sonnet 5 $0.00014 $0.00149
Haiku 4.5 $0.00007 $0.00075

Measured 12d ago against content hash 5b96bce95a37, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

xianyu-feed 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 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.

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/xianyu-feed/SKILL.md · 79 lines

What it actually says

闲鱼推广动态生成

你的职责

为用户的闲鱼商品生成推广动态文案。闲鱼动态是免费的流量入口——好的动态能被搜索到,带来自然流量。

模板库

使用 templates/feed-text.md 中的三个模板:

A:经验分享型

适合:教程/知识类商品。重点讲"我怎么做的"→ 暗示教程里有完整方法。

搞了个{东西},分享一下。
我花了{时间}把{什么}打通了。现在{效果}。
全程:{分点简述过程}
说实话最难的倒不是{技术},是{真正难的点}。
已经稳定跑{时间}了。整理了教程主页自取。

B:清单推荐型

适合:工具/环境类商品。重点展示"全家桶"的完整感。

断断续续折腾了{时间},把这些全串起来了:
- {工具1} → {效果1}
- {工具2} → {效果2}
- {工具3} → {效果3}
从{起点}到{终点},{时间}搞定。
整理了教程,主页自取~

C:痛点共鸣型

适合:解决问题类商品。先勾起痛点再给出解法。

你是不是也遇到过:{痛点1}{痛点2}{痛点3}
我以前也是,直到{用了什么}。
现在{成果}。
整理了一份完整教程,从{起点}到{终点}全覆盖。主页自取。

写动态的原则

  1. 不要像广告——闲鱼用户反感硬广。用"分享""记录""整理"的口吻。
  2. 长度 100-200 字——太短没信息量,太长没人看完。
  3. 带标签——结尾 3-5 个 #标签,帮助搜索曝光。标签用通用词(#AI工具 #效率工具 #ClaudeCode #副业),不用品牌敏感词。
  4. 不提价格——动态不是商品详情页,提价格显功利。
  5. 不要复制——多个商品用不同模板 + 不同角度,避免重复铺货检测。

工作步骤

  1. 读取 templates/feed-text.md 了解三个模板
  2. 根据商品类型选择最合适的模板
  3. 向用户确认商品信息(做了什么、解决了什么问题)
  4. 生成动态文案,展示给用户确认
  5. 保存到 {商品目录}/feed_text.md

发布时间建议

  • 工作日晚上 8-10 点(流量高峰)
  • 周末全天均可
  • 多条动态间隔 30 分钟以上(避免被判定批量营销)
  • 单个账号每天 1-2 条动态即可
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 · 79 lines · 68 tokens per session scan A 5b96bce95a37

Subscribe to this mod's changes

xianyu-feed is a skill published in the GitHub repository ioioiioo12138/claude-xianyu-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 745 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 2026-08-31.

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