Agent skill

World Cup Predictor

by mikobinbin in mikobinbin/2026-world-cup-predictor

世界杯冠军预测系统 — 基于球员成长周期模型、球队Elo评分、玄学因子的综合预测框架。预测2026年美加墨世界杯冠军,同时输出球队排行榜、球员系数矩阵、可视化看板。

No licenceAuto-check: notes

Install World Cup Predictor

skills CLI
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
world-cup-predictor
GitHub stars
658
Token cost
~1.7k tokens
SKILL.md length
346 words
Files
55 (incl. scripts, assets)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

世界杯冠军预测系统 — 基于球员成长周期模型、球队Elo评分、玄学因子的综合预测框架。预测2026年美加墨世界杯冠军,同时输出球队排行榜、球员系数矩阵、可视化看板。

  • Works in 5 steps: 球员模块 — 4年周期模型,追踪球员成长曲线预测当打之年 → 球队模块 — Elo锚点 + 年龄结构 + 大赛经验 + 近期状态 → 玄学模块 — 不可量化因子的哲学建模 → …
  • SKILL.md covers 核心功能, 使用方式, 数据来源 and 模型权重(可配置), plus 5 more sections
  • Runs Python and Shell scripts from its folder; calls python, python3 and curl; reaches en.wikipedia.org

What it does

World Cup Predictor is an agent skill from mikobinbin/2026-world-cup-predictor. 世界杯冠军预测系统 — 基于球员成长周期模型、球队Elo评分、玄学因子的综合预测框架。预测2026年美加墨世界杯冠军,同时输出球队排行榜、球员系数矩阵、可视化看板。

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 58 other files, including scripts and assets (for example `README.md`, `SERVER_DEPLOY.md` and `WORLD_CUP_PREDICTION_COMPARISON.md`).

It works with Wikipedia. The repository describes itself as: 2026 FIFA World Cup H2H Match Prediction | Poisson xG + Mystic Factors + Mobile-first | 世界杯H2H对战预测.

Example prompts

  • “/world-cup-predictor”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 球员模块 — 4年周期模型,追踪球员成长曲线预测当打之年
  2. 球队模块 — Elo锚点 + 年龄结构 + 大赛经验 + 近期状态
  3. 玄学模块 — 不可量化因子的哲学建模
  4. 蒙特卡洛模拟 — 32队晋级路径概率模拟
  5. 动态画板 — 球队/球员系数可视化看板

What it can do on your machine

Read from SKILL.md and the folder at commit b47c278. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python and Shell, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • python3
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • en.wikipedia.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

World Cup Predictor loads about 1.7k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 346 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:106
    运行前需在 `~/.hermes/.env` 或项目根目录 `.env` 设置:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 346 words (~1,681 tokens).

name
world-cup-predictor
trigger
当用户询问世界杯预测、冠军预测、世界杯AI分析、球队实力评估时触发。
author
Miko & Hermes
version
0.1.0
tags
world-cup, football, soccer, prediction, monte-carlo, elo-rating

Read the full SKILL.md on GitHub

Files

SKILL.md and 54 other files (scripts, assets) in the repository root of mikobinbin/2026-world-cup-predictor.

  • SKILL.md
  • .gitignore
  • .streamlit/config.toml
  • README.md
  • SERVER_DEPLOY.md
  • WORLD_CUP_PREDICTION_COMPARISON.md
  • analyze_score_pred.py
  • assets/custom.css
  • check_env.sh
  • config.py
  • data/elo_cache_2026.json
  • data/elo_updates_processed.json
  • data/match_cache.json
  • data/wc2026_players_processed.json
  • data/wc2026_squads_wikipedia.json
  • data/wc2026_squads_wikipedia.json.bak
  • patches/new_h2h.css
  • … and 38 more

Open the folder on GitHubat commit b47c278

Compare with similar skills

World Cup Predictor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

World Cup Predictor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
World Cup Predictor this skillmikobinbin/2026-world-cup-predictor658—~1.7kAutomated safety check: NotesNone
HumanizerAzure-Samples/interview-coach-agent-framework17237 repos~5.8kAutomated safety check: PassMIT
AI Copywritermikiarlo3/ai-copywriter1.2k—~12kAutomated safety check: PassMIT
Rival Search MCPdamionrashford/RivalSearchMCP1321 repos~796Automated safety check: PassMIT
Renwei Writingorange2ai/renwei-writing1.1k—~684Automated safety check: PassProprietary
Humanizer Zh Academicredbaronyyyyy-eng/humanizer-zh-academic3061 repos~1.8kAutomated safety check: PassMIT

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Works with

Questions about World Cup Predictor

What does World Cup Predictor do?

世界杯冠军预测系统 — 基于球员成长周期模型、球队Elo评分、玄学因子的综合预测框架。预测2026年美加墨世界杯冠军,同时输出球队排行榜、球员系数矩阵、可视化看板。. World Cup Predictor is an agent skill from mikobinbin/2026-world-cup-predictor.

How do I install World Cup Predictor in Claude Code?

Run `npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a claude-code`. Or copy the skill folder (the mikobinbin/2026-world-cup-predictor repository) into .claude/skills/world-cup-predictor in your project. Claude Code loads it when a task matches its description.

How do I install World Cup Predictor in Codex?

Run `npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a codex`. Or copy the skill folder (the mikobinbin/2026-world-cup-predictor repository) into .agents/skills/world-cup-predictor in your project. Codex loads it when a task matches its description.

Can I use World Cup Predictor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/world-cup-predictor, .gemini/skills/world-cup-predictor, .github/skills/world-cup-predictor and .opencode/skills/world-cup-predictor in your project.

What does World Cup Predictor need to run?

Going by SKILL.md and its folder, World Cup Predictor needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (python, python3 and curl). Our summary lists: Python 3; A Bash shell.

Does World Cup Predictor access the network?

SKILL.md names 1 domain. In commands or code: en.wikipedia.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is World Cup Predictor safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does World Cup Predictor use?

No licence was found for World Cup Predictor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does World Cup Predictor use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to World Cup Predictor?

Skills that share tags, products or a category with World Cup Predictor: Humanizer (Azure-Samples/interview-coach-agent-framework, 172 stars), AI Copywriter (mikiarlo3/ai-copywriter, 1.2k stars), Rival Search MCP (damionrashford/RivalSearchMCP, 132 stars) and Renwei Writing (orange2ai/renwei-writing, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains World Cup Predictor?

mikobinbin (a GitHub user) maintains it in mikobinbin/2026-world-cup-predictor, which has 658 GitHub stars. The repository was last updated on July 18, 2026.

Source: mikobinbin/2026-world-cup-predictor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.