anycap-worldcup-predict

anycap-worldcup-predict is a skill for Claude Code, Codex from anycap-ai/anycap. It costs 275 tokens per session (2,118 once invoked), scanned A, original, MIT.

A football research workflow that gathers public information about players, squads, team form, past meetings, and World Cup history before a match.

In plain words
What is it for?
Use it to compare World Cup teams, prepare player profiles, review a matchup before kickoff, and optionally suggest a likely winner and scoreline for fun.
Why use it?
It brings scattered pre-match facts into one structured briefing and keeps predictions separate from factual betting odds or guaranteed results.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the anycap plugin — 9 skills, 1 MCP server shipped together

not rated 43repo 14d ago A scan Socket: passSnyk: warnSkillSpector: pass 275 tokens original MIT

Good fit Use it to compare World Cup teams, prepare player profiles, review a matchup before kickoff, and optionally suggest a likely winner and scoreline for fun.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anycap-ai/anycap/anycap-worldcup-predict
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 anycap-ai/anycap --skill anycap-worldcup-predict
Clone the repo
git clone --depth 1 https://github.com/anycap-ai/anycap

Made for: Claude Code, Codex.

Or install anycap, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

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 anycap-worldcup-predict

README.md
[![agentmods](https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-worldcup-predict.svg)](https://agentmods.dev/skills/anycap-ai/anycap/anycap-worldcup-predict)
Your own site
<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-worldcup-predict"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-worldcup-predict.svg" alt="Measured on agentmods" height="20"></a>
Per session 275 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,118 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 pass 7 Sept 2026
  • Socket pass 25 Aug 2026
  • Snyk warn 25 Aug 2026
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 $0.00275 $0.02118
Opus 5 $0.00138 $0.01059
Sonnet 5 $0.00055 $0.00424
Haiku 4.5 $0.00028 $0.00212

Measured 8d ago against content hash d2dca6cf84e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

anycap-worldcup-predict 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 8d 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.

skills/anycap-worldcup-predict/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AnyCap World Cup Predict

Read this entire file before starting. It defines a reliable workflow for turning a player name (or a whole squad) into structured, verifiable World Cup pre-match intel using AnyCap, then optionally calling a winner and scoreline for fun.

World Cup match prediction and pre-match intel for serious football fans. Turn player names and lineups into structured, verifiable profiles, stats, and matchup briefings so you can read a World Cup matchup before kickoff -- then, if you want, finish with a for-fun prediction (likely winner + scoreline + confidence). Built for World Cup squads and national-team lineups, and works for any footballer.

This skill is about how to retrieve and verify player data. For CLI command reference (flags, output, jq), read the anycap-cli skill and its references/search.md / references/crawl.md.

This skill surfaces public information (profiles, form, historical stats) and can finish with an optional for-fun prediction (likely winner + a playful scoreline) derived from that data. It does not set betting odds, output win probabilities as if they were facts, or place wagers. Every prediction must ship with the disclaimer in predict.md. Treat everything as informational and form your own judgment.

Prerequisites

  • anycap CLI installed and authenticated (anycap status to verify). Read the anycap-cli skill if setup is needed.
  • jq for parsing JSON output.

Core Principle: Search Less, Not Faster

Do not crawl the whole web for every player. Narrow the search space first, then retrieve only what matters:

  1. Grounding first -- ask for a structured profile in one shot (anycap search --prompt). This is the fastest path to clean data.
  2. Disambiguate -- when a name is shared by several players, add context (nationality, position, birth year, club) to lock onto the right one.
  3. Verify only when accuracy matters -- cross-check against an authoritative, crawlable source (Wikipedia) instead of trusting a single answer.
  4. Prune, don't dump -- in batch mode, fetch one structured profile per player; never crawl every search result.

Read the full file on GitHub · 126 lines

Files

What ships with it

8 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.

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. 8d ago First seen · 126 lines · 275 tokens per session scan A d2dca6cf84e1

Subscribe to this mod's changes

anycap-worldcup-predict is a skill published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 14d ago), licensed MIT. It adds 275 tokens to every session and 2,118 once invoked, about $0.0014 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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