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 lovstudio/skills --skill publish-event-onto-hdxgit clone --depth 1 https://github.com/lovstudio/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/lovstudio/skills/publish-event-onto-hdx)<a href="https://agentmods.dev/skills/lovstudio/skills/publish-event-onto-hdx"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/publish-event-onto-hdx/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/lovstudio/skills/publish-event-onto-hdx"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/publish-event-onto-hdx.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 | $0.00092 | $0.04355 |
| Opus 5 | $0.00046 | $0.02178 |
| Sonnet 5 | $0.00018 | $0.00871 |
| Haiku 4.5 | $0.00009 | $0.00436 |
Grade A, and why
lov-publish-event-onto-hdx 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.
How it starts
The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
活动行诊断 · Huodongxing Diagnostics
帮助在活动行（huodongxing.com）完成活动的分类设置、标签优化和曝光排名核查。
Triggers
Activate when
- 用户说"帮我看看活动行上的活动""活动行里找不到自己""活动行分类没设"
- 用户说"活动行标签怎么设""活动行排名""活动行曝光"
- 用户说"活动行分类怎么没了""刚保存完分类就没了"
- 用户说"换掉活动行详情里的海报""替换活动行正文配图"
- 用户说"publish event on hdx""fix hdx category""hdx event not showing"
- 用户提供一个活动行活动链接，想知道为什么在分类页找不到
Do not activate when
- 用户要从零创建一个新活动 → 本 Skill 不覆盖创建流程，见 Step 0 的分支处理
- 用户要发布其他平台内容（视频号、B站、小红书）→ 使用
lov-media-publisher - 用户要生成活动海报或图文 → 使用
lov-event-poster - 用户要策划活动流程或嘉宾问题 → 使用
lov-event-curator
Key Knowledge
分类（Category）是曝光门禁
活动行前台所有分类导航页（IT互联网、创业、AI……）由 Category 字段控制，
Category=0 的活动在任何分类页都不会出现，这是最常见的曝光问题根因。
分类编号（从大规模抓取数据推断）：
| Category | 含义（推测） | 占比 |
|---|---|---|
| 11 | IT互联网/AI/科技类 | 最多 |
| 12 | 生活方式/兴趣 | 次多 |
| 22 | 教育培训 | |
| 14 | 行业培训/职场 | |
| 0 | 未分类（不可见） |
AI/技术类活动选 Category=11。
分类导航的 URL 机制
/events?orderby=o&tag=AI&city=上海 不是精确标签匹配，而是 Category + 标题 + 标签的混合检索。
不需要把标签精确写成导航词（如"IT互联网"），活动行全站无任何活动把"IT互联网"作为标签。
排序参数
| orderby | 含义 | 新主办方建议 |
|---|---|---|
| o | 综合排序 | 不利，按主办方权重（粉丝/金牌/历史）排 |
| n | 最新发布 | 适合发布后短期冲量 |
| v | 热门点击 | 最直观反映真实流量，用来自查排名 |
| r | 最多参与 | 需要历史报名数支撑 |
Tag 关键词分布（基于 3839 个活动的真实抓取）
注意：这些是 ativityJson.Tag 的多值关键词，与单选的「分类标签」是不同字段，
见下文「关键区分」。给建议前先确认 Tag 的编辑入口。
高频可用标签（括号内为全站使用量）：人工智能(194)、AIGC(105)、AI(44)、 AI赋能(41)、AI智能体(37)、Agent(33)、AI Agent(33)、AI应用(30)、大模型(24)
低效标签（等于零曝光）：Harness(1)、工作流自动化(2)、任何导航词如"IT互联网"(0)
后台路径（已实测）
2026-09-02 在真实账号上逐页读取的结果。不要凭记忆推测路径。
| 用途 | 路径 | 状态 |
|---|---|---|
| 主办方管理中心 | /console/home |
已验证 |
| 我的活动列表 | /console/eventadmin |
链接已确认 |
| 创建新活动 | /createv3 |
链接已确认 |
| 编辑活动（完整表单） | /myevent/edit?view=editbase&id=<id> |
已验证，含分类标签字段 |
/myevent/edit?id=<id>（缺 view 参数） |
— | 危险：表单不完整，且保存会清空分类与主办方，见下节 |
/myevent/manage?id=<id> |
— | 404「该页面已经迷失了」 |
| 活动概览 | /myevent/home?id=<id> |
已验证，无分类/标签 |
| 推广（刷新/置顶） | /myevent/promote?id=<id>&tab=8 |
已验证 |
/host/events |
— | 不存在，重定向到首页 |
What ships with it
14 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.
- .gitignore 84 B
- cases/cases.json 1.2 KB
- CHANGELOG.md 3.0 KB
- LICENSE 1.0 KB
- pricing-card.yaml 831 B
- README.md 2.7 KB
- references/skill-card-standard.md 660 B
- references/skill-composition.md 1.6 KB
- references/user-profile.md 2.7 KB
- scripts/profile_store.py 8.3 KB runs code
- scripts/validate_skill.py 26 KB runs code
- skill-card.md 2.5 KB
- skill-card.yaml 4.4 KB
- skill.yaml 1.6 KB
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 Changed 45156ac8c63a
- 6d ago Changed · +101 lines · +14 tokens per session db8ec190a7da
- 8d ago First seen · 227 lines · 78 tokens per session scan A 29ddba8046a0
lov-publish-event-onto-hdx is a skill published in the GitHub repository lovstudio/skills (65 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 4,355 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
dokploy-deploy
This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".
mongodb-connection
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling connect()), configuring connection pools, troubleshooting connection errors…
mongodb-schema-design
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree…
mongodb-search-and-ai
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG…
workers-best-practices
Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.
wrangler
Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, deployment, and Cloudflare resource management.