Borrowing it
Nothing to install: this file belongs to asttstxh/worldcup-Viewing-Lottery-Assistant-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/asttstxh/worldcup-Viewing-Lottery-Assistant-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/asttstxh/worldcup-Viewing-Lottery-Assistant-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/instructions/asttstxh/worldcup-viewing-lottery-assistant-skill/agents-md)<a href="https://agentmods.dev/instructions/asttstxh/worldcup-viewing-lottery-assistant-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/asttstxh/worldcup-viewing-lottery-assistant-skill/agents-md/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/instructions/asttstxh/worldcup-viewing-lottery-assistant-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/asttstxh/worldcup-viewing-lottery-assistant-skill/agents-md.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 | $0.00212 | $0.00212 |
| Opus 5.5 | $0.00085 | $0.00085 |
| Sonnet 5.5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
worldcup-Viewing-Lottery-Assistant-skill AGENTS.md 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 1mo 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.
What it actually says
Agent Instructions
This repository contains a portable AI Agent Skill for World Cup match previews and sports lottery planning.
Primary Skill
Use skills/worldcup-match-report/SKILL.md as the entrypoint.
When the user asks for a World Cup or international football match preview, follow the workflow in that skill and load skills/worldcup-match-report/references/report-spec.md before generating the report.
Output Expectations
- Generate a Chinese standalone HTML report.
- Verify current facts through live sources before making factual claims.
- Clearly separate verified facts, unavailable data, and inference.
- Keep betting guidance entertainment-oriented and budget-limited.
- Do not promise winnings or deterministic returns.
Portability Notes
For tools that do not natively support Agent Skills, treat this repository as a rules package:
- Copy the core workflow from
SKILL.md. - Copy the detailed report contract from
references/report-spec.md. - Use the HTML file in
assets/as a visual reference only. - Preserve the source-backed, responsible-budget framing.
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.
- 1mo ago First seen · 27 lines · 212 tokens per session scan A d8ca643f6b78
worldcup-Viewing-Lottery-Assistant-skill AGENTS.md is an instructions file published in the GitHub repository asttstxh/worldcup-Viewing-Lottery-Assistant-skill (6 stars, last pushed 4mo ago), licensed MIT. It adds 212 tokens to every session, about $0.0008 per session on Opus 5.5. 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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