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.
git clone --depth 1 https://github.com/jiushiwon/wg-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/commands/jiushiwon/wg-skills/feedback)<a href="https://agentmods.dev/commands/jiushiwon/wg-skills/feedback"><img src="https://agentmods.dev/badge/commands/jiushiwon/wg-skills/feedback.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.00702 |
| Opus 5 | $0.00000 | $0.00351 |
| Sonnet 5 | $0.00000 | $0.00140 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
feedback scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
反馈类组件
toast 轻提示
说明：轻量级提示
别名：提示、轻反馈
用法（全局方法）：
// 基本提示
this.$toast('操作成功')
// 成功
this.$toast.success('保存成功')
// 失败
this.$toast.error('操作失败')
// 加载中
this.$toast.loading('加载中...')
this.$toast.hide()
modal 模态框
说明：对话框/弹窗
别名：弹窗、对话框
属性：
| 名称 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| show | boolean | false | 显示状态 |
| title | string | '' | 标题 |
| content | string | '' | 内容 |
| showCancel | boolean | true | 显示取消按钮 |
| confirmText | string | '确定' | 确认文字 |
| cancelText | string | '取消' | 取消文字 |
事件：
- confirm：点击确认
- cancel：点击取消
用法：
<modal :show.sync="showModal" title="提示" content="确定要删除吗？" @confirm="onConfirm" />
JS调用：
this.$modal.confirm({
title: '提示',
content: '确定要删除吗？'
}).then(() => {
// 确定
}).catch(() => {
// 取消
})
action-sheet 操作菜单
说明：底部操作菜单
别名：操作表、底部菜单
属性：
| 名称 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| show | boolean | false | 显示状态 |
| actions | array | [] | 操作项配置 |
actions配置：
[
{ name: '拍照', icon: 'camera' },
{ name: '相册', icon: 'photo' },
{ name: '取消', type: 'cancel' }
]
用法：
<action-sheet :show.sync="show" :actions="actions" @select="onSelect" />
loading 加载态
说明：加载指示器
别名：loading、加载
用法：
<!-- 页面加载 -->
<loading />
<!-- 带文字 -->
<loading text="加载中..." />
<!-- 骨架屏 -->
<loading type="skeleton" :rows="3" />
empty-state 空状态
说明：空数据提示
别名：空列表、无数据
属性：
| 名称 | 类型 | 默认值 | 说明 |
|---|---|---|---|
| image | string | '' | 图片 |
| description | string | '暂无数据' | 描述文字 |
| button | string | '' | 按钮文字 |
事件：
- buttonClick：点击按钮
用法：
<empty-state description="暂无订单" button="去逛逛" @buttonClick="goShopping" />
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.
- 4d ago First seen · 134 lines · 0 tokens per session scan A 51d5882cafa6
feedback is a command published in the GitHub repository jiushiwon/wg-skills (92 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 702 tokens. 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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