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 imjszhang/js-eyes --skill js-wechat-ops-skillgit clone --depth 1 https://github.com/imjszhang/js-eyesWrote 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/imjszhang/js-eyes/js-wechat-ops-skill)<a href="https://agentmods.dev/skills/imjszhang/js-eyes/js-wechat-ops-skill"><img src="https://agentmods.dev/badge/skills/imjszhang/js-eyes/js-wechat-ops-skill/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/imjszhang/js-eyes/js-wechat-ops-skill"><img src="https://agentmods.dev/badge/skills/imjszhang/js-eyes/js-wechat-ops-skill.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 | $0.00036 | $0.00632 |
| Opus 5 | $0.00018 | $0.00316 |
| Sonnet 5 | $0.00007 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
js-wechat-ops-skill 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 10d 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.
What it actually says
js-wechat-ops-skill
面向微信公众号文章详情读取的 skill。首版聚焦单篇文章，不做搜索、历史文章列表和评论区。
前置条件
- Node.js 22+、JS Eyes 2.8.5+，且 JS-Eyes Server 已运行
- 浏览器已安装 JS-Eyes 扩展并连接到服务器
- 浏览器可正常访问微信公众号文章页面
- 宿主设置
security.allowRawEval: true；JS Eyes 2.5+ 会同步到扩展，扩展侧显式false仍可强制关闭 - Chrome 要求 135+；Chrome 138+ 还需开启浏览器控制的 Allow User Scripts
公开文章通常无需登录；受限或失效文章取决于浏览器已有会话，本 Skill 不执行登录自动化。
提供的 AI 工具
| 工具 | 说明 |
|---|---|
wechat_get_article |
读取微信公众号文章详情，返回标题、作者、摘要、正文、封面图和图片列表 |
CLI
node skills/js-wechat-ops-skill/index.js article "https://mp.weixin.qq.com/s/xxxx" --pretty
编程 API
const { BrowserAutomation } = require('./lib/js-eyes-client');
const { getArticle } = require('./lib/api');
const browser = new BrowserAutomation('ws://localhost:18080');
const result = await getArticle(browser, 'https://mp.weixin.qq.com/s/xxxx');
Recording
js-wechat-ops-skill 现已接入统一的 skill recording 底座，支持调用历史、结果缓存和调试记录。
- 默认记录模式跟随
js-eyes全局配置中的recording.mode - CLI 可覆盖：
--recording-mode off|history|standard|debug--debug-recording--no-cache--recording-base-dir /absolute/path--run-id custom-id
默认按技能分目录落盘到 ~/.js-eyes/skill-records/js-wechat-ops-skill/，其中包含：
history/：按月滚动的调用历史jsonlcache/article：文章结构化缓存debug/：调试模式下的页面步骤、DOM 统计和结果快照
What ships with it
12 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.
- cli/index.js 1.2 KB runs code
- index.js 1.7 KB runs code
- lib/api.js 5.7 KB runs code
- lib/runContext.js 491 B runs code
- lib/runtimeConfig.js 939 B runs code
- lib/wechatUtils.js 9.2 KB runs code
- package.json 685 B
- scripts/wechat-article.js 2.5 KB runs code
- skill.definition.js 2.9 KB runs code
- skill.entry.js 194 B runs code
- skill.manifest.json 1.7 KB
- tests/core.test.js 1.3 KB runs code
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.
- 10d ago First seen · 67 lines · 36 tokens per session scan A e86a730099ab
js-wechat-ops-skill is a skill published in the GitHub repository imjszhang/js-eyes (43 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 632 once invoked, about $0.0002 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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