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 redfox-data/redfox-community-dsh --skill dongchedi-user-searchgit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote 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/redfox-data/redfox-community-dsh/dongchedi-user-search)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/dongchedi-user-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/dongchedi-user-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/redfox-data/redfox-community-dsh/dongchedi-user-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/dongchedi-user-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00194 | $0.04758 |
| Opus 5.5 | $0.00078 | $0.01903 |
| Sonnet 5.5 | $0.00039 | $0.00952 |
| Haiku 4.5 | $0.00019 | $0.00476 |
Grade A, and why
dongchedi-user-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
懂车帝用户搜索和作品订阅
📝 简介
输入关键词就能搜到懂车帝上的用户（作者）账号，粉丝数、简介一目了然；选中想看的用户，立即拉取他的作品列表，标题、类型、阅读、点赞、评论、收藏、发布时间全部呈现，每条作品都能点链接跳转原页。
✨ 功能特性
| 功能模块 | 能力描述 | 核心价值 |
|---|---|---|
| 用户关键词搜索 | 输入关键词搜索懂车帝用户（作者） | 精准发现目标用户 |
| 用户数据展示 | 昵称、粉丝数、简介、主页链接 | 快速评估账号影响力 |
| 作品列表查询 | 选中用户后获取其作品列表（标题/类型/阅读/点赞/评论/收藏/发布时间），默认展示最新 20 条，可查看全部 | 一览内容表现 |
| 作品直达 | 每条作品附可点击链接 | 一键跳转查看原作品 |
| 翻页浏览 | 用户列表支持多页翻看 | 不遗漏任何一个候选用户 |
| 订阅推送 | 订阅用户后每天 9:00 自动推送 TA 昨日更新的作品 | 持续追踪，不错过更新 |
🎯 适用对象
- 🔍 内容创作者 — 找汽车领域对标账号，研究他们的选题方向和内容表现。
- 📊 运营 / 数据分析 — 摸清某个品牌/车型在懂车帝上有哪些活跃创作者。
- 🏢 品牌 / MCN — 筛选汽车领域潜在合作达人，按粉丝量和作品数据评估价值。
- 🚗 汽车行业从业者 — 追踪喜欢的车评人，快速浏览其近期全部作品。
🔑 鉴权
获取 API Key
请前往 红狐hub 获取 API KEY
配置 API Key
方案1: 以 OpenClaw 为例，将 REDFOX_API_KEY 添加到 ~/.openclaw/openclaw.json 中：
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
方案2: 终端配置
export REDFOX_API_KEY="ak_xxxx..."
🔄 工作流程
Step 1：理解用户意图，提取关键词
⚠️ 核心规则：语义理解优先，优先提取细分方向词（品牌、车型、领域词）
1. 提取关键词
- 从用户描述中提取 2~6 字的细分关键词，如品牌名（"比亚迪"）、车型（"理想L8"）、领域词（"越野""车评"）
- 过滤冗余修饰词：用户说的"xx用户""xx作者""xx账号""xx达人""xx博主"，搜索关键词仅取核心部分 xx，去除末尾的类别修饰词。例如"小米作者" → 搜索"小米"，"越野达人" → 搜索"越野"
- 若用户意图模糊（如"帮我搜懂车帝用户"），主动询问：「请问你想搜索哪个方向或领域的懂车帝用户？」
- 不得在用户未提供关键词时擅自猜测并调用脚本
2. 识别页码参数（用户未指定时使用默认值）
- 页码（
--page）：默认1- 用户提到"下一页"、"第2页" → 对应页码
- 用户提到"上一页" → 当前页 - 1
- 未提及页码 →
1（默认）
Step 2：调用用户搜索脚本
python3 ~/.agents/skills/dongchedi-user-search/scripts/search_user.py "<关键词>" [--page 页码]
参数说明：
| 参数 | 可选值 | 含义 |
|---|---|---|
| keyword | 任意字符串 | 搜索关键词 |
--page |
正整数 | 页码，从1开始（默认1） |
脚本以 JSON 格式输出：
| 字段 | 说明 |
|---|---|
users |
匹配的用户列表（保持接口原始顺序） |
page |
当前页码 |
has_next |
是否有下一页（true/false） |
next_offset |
下一页偏移量（翻页信息，无需展示给用户） |
total |
当前页返回条数 |
What ships with it
4 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.
- 6d ago First seen · 337 lines · 194 tokens per session scan A 045dfb7ff9b7
dongchedi-user-search is a skill published in the GitHub repository redfox-data/redfox-community-dsh (7 stars, last pushed yesterday), licensed MIT. It adds 194 tokens to every session and 4,758 once invoked, about $0.0008 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 2026-10-11.
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