Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
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。
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent claude-codeProject 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/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .claude/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .agents/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .cursor/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .gemini/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .github/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mikobinbin/2026-world-cup-predictor --skill world-cup-predictor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mikobinbin/2026-world-cup-predictor world-cup-predictor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "world-cup-predictor" agent skill from https://github.com/mikobinbin/2026-world-cup-predictor/tree/main into .opencode/skills/world-cup-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-cup-predictor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
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。
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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b47c278. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pythonpython3curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
en.wikipedia.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 346 words (~1,681 tokens).
SKILL.md and 54 other files (scripts, assets) in the repository root of mikobinbin/2026-world-cup-predictor.
Open the folder on GitHubat commit b47c278
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| World Cup Predictor this skillmikobinbin/2026-world-cup-predictor | 658 | — | ~1.7k | Automated safety check: Notes | None | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 172 | 37 repos | ~5.8k | Automated safety check: Pass | MIT | |
| AI Copywritermikiarlo3/ai-copywriter | 1.2k | — | ~12k | Automated safety check: Pass | MIT | |
| Rival Search MCPdamionrashford/RivalSearchMCP | 132 | 1 repos | ~796 | Automated safety check: Pass | MIT | |
| Renwei Writingorange2ai/renwei-writing | 1.1k | — | ~684 | Automated safety check: Pass | Proprietary | |
| Humanizer Zh Academicredbaronyyyyy-eng/humanizer-zh-academic | 306 | 1 repos | ~1.8k | Automated safety check: Pass | MIT |
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
mikiarlo3/ai-copywriter
Write copy that converts and doesn't sound like a robot. An agent skill from mikiarlo3/ai-copywriter.
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
orange2ai/renwei-writing
人味儿写作 - 打磨、润色、改写别人的文字时,保住文字背后那个人的存在感. An agent skill from orange2ai/renwei-writing.
redbaronyyyyy-eng/humanizer-zh-academic
降低中文学术写作(论文、期刊文章、毕业论文等)AIGC检测率的专项 skill. An agent skill from redbaronyyyyy-eng/humanizer-zh-academic.
Yezery/aigc-down-skill
降低中文学术写作(本/专科毕业论文)AIGC检测率的专项 skill. An agent skill from Yezery/aigc-down-skill.
Works with
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.
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.
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.
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.
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.
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.
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.
No licence was found for World Cup Predictor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.