html5-game-radar

html5-game-radar is a skill for Claude Code, Codex from kennyzir/7deer_skills. It costs 181 tokens per session (2,432 once invoked), scanned A, original, MIT.

A monitoring workflow that scans several sites for newly popular HTML5 games, including browser games that run without installation. It compares signs of rising interest with the amount of existing search content.

In plain words
What is it for?
It is for discovering HTML5 games, filtering out some game-jam listings, ranking opportunities from collected signals, and sending the results to Feishu. It can be started on request or run on a daily schedule.
Why use it?
It helps find games people are beginning to search for before many competing pages exist. This reduces the need to check game sites, social posts, and search trends by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for discovering HTML5 games, filtering out some game-jam listings, ranking opportunities from collected signals, and sending the results to Feishu. It can be started on request or run on a daily schedule.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kennyzir/7deer_skills/html5-game-radar
Install

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.

Any agent
npx skills add kennyzir/7deer_skills --skill html5-game-radar
Clone the repo
git clone --depth 1 https://github.com/kennyzir/7deer_skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for html5-game-radar

README.md
[![agentmods](https://agentmods.dev/badge/skills/kennyzir/7deer_skills/html5-game-radar/github.svg)](https://agentmods.dev/skills/kennyzir/7deer_skills/html5-game-radar)
Your own site
<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/html5-game-radar"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/html5-game-radar/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.

agentmods 80×15 button for html5-game-radar

Your own site · 80×15
<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/html5-game-radar"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/html5-game-radar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 181 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 82
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 87
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00181 $0.02432
Opus 5 $0.00090 $0.01216
Sonnet 5 $0.00036 $0.00486
Haiku 4.5 $0.00018 $0.00243

Measured 3d ago against content hash b4721893f0ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

html5-game-radar 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 3d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/google_trends_check.py, scripts/html5_monitor.sh, scripts/itch_scraper.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

html5-game-radar/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HTML5 Game Radar — 游戏发现雷达

核心目标

发现又新又热的 HTML5 游戏,在 SEO 空白期抢先建站截流。

游戏爆发(玩家在找)
    ↓
Google 搜索量 ↑  但内容页 ↓(SEO 空白)
    ↓
你抢先建站 → 截流搜索流量

工作流程

Step 1: itch.io 监测(最新 HTML5 游戏,?sort=date)
Step 2: Reddit r/webgames 新帖扫描
Step 3: Google 搜索量 + 竞争度验证
Step 4: X/Twitter 扩散信号(用游戏名搜索)
Step 5: 汇总评分 + 排序
Step 6: 推送 Feishu

Step 1: itch.io HTML5 新游戏抓取

目标 URL: https://itch.io/games/tag-html5?sort=date

⚠️ 重要: itch.io 的 votes 和 date 是懒加载 JS,无法从 DOM 提取。评分改用「标题关键词 + 类型」作为主要打分依据。

Browser 操作流程:

  1. browser(action="navigate")https://itch.io/games/tag-html5?sort=date
  2. 滚动 3 次,每次 window.scrollBy(0, 800)
  3. browser evaluate 提取游戏列表

提取字段:

document.querySelectorAll('.game_cell').forEach(cell => {
  const title = cell.querySelector('.title')?.innerText || '';
  const dev = cell.querySelector('.game_author a')?.innerText || '';
  const genre = cell.querySelector('.game_genre')?.innerText || '';
  const url = cell.querySelector('.title')?.href || '';
  results.push({ title, dev, genre, url });
});

信号判断:

  • 标题含「new」「free」「multiplayer」「io」「survival」= 热门类型信号
  • 游戏类型为 Action/Adventure/Survival/Puzzle = 高价值类型
  • ⚠️ 过滤 Jam 游戏:标题含「jam」「Ludum」「 GMTK」「Game Jam」= 低价值

Step 2: Reddit r/webgames 扫描

scripts/reddit_monitor.py 需要通过 --reddit-script 或专用环境变量 HTML5_REDDIT_SCRIPT 指向已有的 reddit.ts。未配置时停止,不会调用 npx;默认输出 JSON 到 stdout,只有显式 --output 才创建新文件且不会覆盖已有路径。

python3 scripts/reddit_monitor.py --reddit-script /path/to/reddit.ts
python3 scripts/reddit_monitor.py --reddit-script /path/to/reddit.ts --output reddit_output.json

使用 reddit-research skill 的 CLI:

npx tsx reddit.ts new webgames --limit 30

过滤 HTML5/浏览器游戏相关帖子:

npx tsx reddit.ts search "html5 OR browser game OR itch.io" --sub webgames --sort new --limit 20

信号判断:

  • 单帖 upvotes > 50 = 强信号
  • 单帖评论 > 20 = 讨论活跃
  • 含游戏链接(非自荐)= 玩家主动分享

Step 3: Google 搜索量 + 竞争度验证

对 Top 5 游戏名执行:

用 browser 打开 Google 搜索:

https://www.google.com/search?q=[游戏名]+game+online+free

Read the full file on GitHub · 242 lines

Changes

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.

  1. 3d ago Changed · +7 lines b4721893f0ce
  2. 12d ago First seen · 235 lines · 181 tokens per session scan A 3ca2323943a0

Subscribe to this mod's changes

html5-game-radar is a skill published in the GitHub repository kennyzir/7deer_skills (312 stars, last pushed 3d ago), licensed MIT. It adds 181 tokens to every session and 2,432 once invoked, about $0.0009 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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