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 anycap-ai/anycap --skill anycap-worldcup-predictgit clone --depth 1 https://github.com/anycap-ai/anycapWrote 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/anycap-ai/anycap/anycap-worldcup-predict)<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>- NVIDIA SkillSpector pass
- Socket pass
- Snyk warn
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 | $0.00275 | $0.02118 |
| Opus 5 | $0.00138 | $0.01059 |
| Sonnet 5 | $0.00055 | $0.00424 |
| Haiku 4.5 | $0.00028 | $0.00212 |
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.
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
anycapCLI installed and authenticated (anycap statusto verify). Read theanycap-cliskill if setup is needed.jqfor 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:
- Grounding first -- ask for a structured profile in one shot (
anycap search --prompt). This is the fastest path to clean data. - Disambiguate -- when a name is shared by several players, add context (nationality, position, birth year, club) to lock onto the right one.
- Verify only when accuracy matters -- cross-check against an authoritative, crawlable source (Wikipedia) instead of trusting a single answer.
- Prune, don't dump -- in batch mode, fetch one structured profile per player; never crawl every search result.
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.
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.
- 8d ago First seen · 126 lines · 275 tokens per session scan A d2dca6cf84e1
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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