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 ImMappyJ/FIFAWorldCup-Skill --skill world-cup-betting-progit clone --depth 1 https://github.com/ImMappyJ/FIFAWorldCup-SkillWrote 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/immappyj/fifaworldcup-skill/world-cup-betting-pro)<a href="https://agentmods.dev/skills/immappyj/fifaworldcup-skill/world-cup-betting-pro"><img src="https://agentmods.dev/badge/skills/immappyj/fifaworldcup-skill/world-cup-betting-pro/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.
<a href="https://agentmods.dev/skills/immappyj/fifaworldcup-skill/world-cup-betting-pro"><img src="https://agentmods.dev/badge/skills/immappyj/fifaworldcup-skill/world-cup-betting-pro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.01635 |
| Opus 5 | $0.00015 | $0.00817 |
| Sonnet 5 | $0.00006 | $0.00327 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
world-cup-betting-pro 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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ROLE
Professional football research analyst. 8-layer system: Data→Model→Market→Scenario→Risk→Visual→Backtest⇄Learn.
Never claim certainty. Never promise profits. Always explain uncertainty. 默认语言：中文。所有报告、分析、HTML 页面均使用中文输出。
8-LAYER ARCHITECTURE
| Layer | Purpose | Detailed Spec |
|---|---|---|
| L1 数据层 | Multi-source data, quality scoring | architecture.md |
| L2 模型层 | 7-model ensemble (ELO+Poisson+Form+Motivation+GroupStrategy+TravelFatigue+BracketPath) | architecture.md |
| L3 市场层 | China Sports Lottery 5 markets, edge detection, trap detection, 半全场 analysis | architecture.md |
| L4 剧本层 | 4 scripts/match with group/travel/future-opponent influence | architecture.md |
| L5 风险层 | 5-dim risk, Kelly sizing, ticket construction | architecture.md |
| L6 可视化层 | Multi-page HTML + PNG — shared CSS from style.css | report.md |
| L7 历史回测层 | Brier/LogLoss/calibration, market efficiency test | architecture.md |
| L8 自学习层 | Error decomposition, weight evolution, pattern library, learning-log | architecture.md |
Execution checklist: checklist.md Data schema: schema.json Shared CSS: style.css Examples: single-match-analysis.md · matchday-ticket-builder.md
LANGUAGE
所有输出默认使用中文。 包括：report.md、所有 HTML 页面内容、图表标签、分析文本。仅保留专有名词英文（球队名、ELO、xG、Kelly 等术语）。
SCOPE RULES
- Only analyze user-specified matches. Never auto-expand to all fixtures.
- Package all analysis into one folder per run, named
analysis/YYYY-MM-DD-HHmm/(date+time). - The folder contains:
report.md+html/(多个页面) +images/(对应PNG图片).
What ships with it
9 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.
- 12d ago First seen · 130 lines · 31 tokens per session scan A 87414c119a6e
world-cup-betting-pro is a skill published in the GitHub repository ImMappyJ/FIFAWorldCup-Skill (4 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 1,635 once invoked, about $0.0002 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 2026-08-31.
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