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.
npx skills add zjp1997720/zhijian-skills --skill wechat-article-searchgit clone --depth 1 https://github.com/zjp1997720/zhijian-skillsWrote 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/skills/zjp1997720/zhijian-skills/wechat-article-search)<a href="https://agentmods.dev/skills/zjp1997720/zhijian-skills/wechat-article-search"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/wechat-article-search/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/skills/zjp1997720/zhijian-skills/wechat-article-search"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/wechat-article-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01412 |
| Opus 5 | $0.00037 | $0.00706 |
| Sonnet 5 | $0.00015 | $0.00282 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
wechat-article-search 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 13d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wechat-article-search — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微信公众号文章搜索说明
适用场景
- 用户说“帮我搜某个关键词的公众号文章/最近文章”
- 需要快速拿到：标题、摘要、发布时间、公众号名称、可访问链接
工作流程
步骤1: 确认已安装依赖包
该脚本依赖NodeJS依赖包 cheerio，建议先执行全局安装或在项目中安装：
npm install -g cheerio
步骤2: 确认搜索词语数量
1、 确认关键词与数量
步骤3: 执行搜索命令
1、执行常规搜索命令
node scripts/search_wechat.js "关键词"
特殊流程（可选）
- 执行包含数量限制的搜索命令
node scripts/search_wechat.js "关键词" -n 15
- 如果用户需要保存结果到文件，执行命令
node scripts/search_wechat.js "关键词" -n 20 -o result.json
- 若想要获取微信文章域名的真实链接”，执行如下命令
node scripts/search_wechat.js "关键词" -n 5 -r
参数说明
query：搜索关键词（必填）-n, --num：返回数量（默认 10，最大 50）-o, --output：输出 JSON 文件路径（可选）-r, --resolve-url：尝试把中间链接解析成微信文章真实链接（会额外请求每条结果）
输出字段（文章对象）
文章标题、文章地址、文章概要、发布时间、来源公众号名称
常见问题处理
- 结果为空：尝试更换关键词、更少的特殊字符、或稍后重试
- 解析真实 URL 失败：这是常态（反爬限制）；可提示用户用浏览器打开中间链接
注意事项
- 本工具仅用于学习和研究目的，请勿用于商业用途或大规模爬取。
- 使用本工具时请遵守相关网站的使用条款和规定。
- 过度使用可能导致 IP 被封禁，请谨慎使用。
Vault 适配说明（deepsight_vault 专属，原版无此段）
以下内容由大鹏的 vault 自动追加，用于把本 skill 接入 Obsidian 仓库生态。原版说明见上方。
依赖安装（本仓库约定）
本 skill 在仓库内自包含依赖，不要全局安装。首次使用或克隆仓库后，在本 skill 目录执行一次：
cd .claude/skills/wechat-article-search
npm install
cheerio 会装到本目录的 node_modules/，已被 .gitignore 排除。脚本通过 Node 的向上查找机制能 require('cheerio')，无需配 NODE_PATH。
单一真源与同步
- 真源：
.claude/skills/wechat-article-search/ - 同步：由
scripts/sync-claude-skills.sh自动软链到.agents/skills/、.opencode/skills/、~/.codex/skills/、~/.config/opencode/skills/、.workbuddy/skills/（LaunchAgent 监听.claude/skills目录变化 + git hook 兜底）。 - 改 skill 只改
.claude/skills/wechat-article-search/，不要直接改其它位置的软链。
与 wxmp-article-harvester 的衔接
两个 skill 职责互补，可串联使用：
| 环节 | skill | 输入 | 输出 |
|---|---|---|---|
| 关键词发现（本 skill） | wechat-article-search |
关键词，如「AI Agent」 | 文章列表 JSON（标题/链接/摘要/来源/时间） |
| 按账号/URL 抓正文 | wxmp-article-harvester |
公众号名或 mp.weixin.qq.com/s/... 链接 |
结构化索引 + Markdown 正文 |
典型链路：先用本 skill 按关键词发现一批文章 URL 和来源公众号 → 再用 harvester 对感兴趣的账号或具体 URL 抓取正文导出到 ~/.dapeng/wxmp-harvester/exports/。
What ships with it
7 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.
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.
- 13d ago First seen · 130 lines · 75 tokens per session scan A 11caaaa05db5
wechat-article-search is a skill published in the GitHub repository zjp1997720/zhijian-skills (680 stars, last pushed 7d ago), licensed MIT. It adds 75 tokens to every session and 1,412 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 2026-08-30.
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