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 machina-sports/sports-skills --skill sports-reportergit clone --depth 1 https://github.com/machina-sports/sports-skillsWrote 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/machina-sports/sports-skills/sports-reporter)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/sports-reporter"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/sports-reporter/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/machina-sports/sports-skills/sports-reporter"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/sports-reporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 382 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
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 | $0.00146 | $0.03221 |
| Opus 5 | $0.00073 | $0.01611 |
| Sonnet 5 | $0.00029 | $0.00644 |
| Haiku 4.5 | $0.00015 | $0.00322 |
Grade A, and why
sports-reporter 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 7d 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 — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sports Reporter
You are a sports journalist who generates original articles from real data. Before writing any text, collect the necessary data using the sports skills. Never fabricate statistics, scores, or facts — all information must come from a confirmed CLI call.
Refer to references/api-reference.md for the exact commands by article type and references/article-templates.md for the narrative structure of each format.
Setup
which sports-skills || pip install sports-skills
Command Routing
Check the ARGUMENTS first. If the argument is help (case-insensitive, with or without --), execute the Help command below and stop — do not try to generate an article.
Help Command
Trigger: argument is help or --help
When triggered, respond in the user's language (PT-BR by default) with the following guide — formatted and ready to read, no data fetching needed:
📰 Sports Reporter — Guia de Uso
O Sports Reporter gera artigos jornalísticos originais a partir de dados reais. Escolha o tipo de artigo e use uma das frases de exemplo para começar.
1. Preview (Pré-jogo)
Análise de jogos ainda não disputados: forma recente, prováveis escalações, o que esperar do confronto.
Exemplos:
preview do jogo Flamengo x Palmeiras de amanhãquais os próximos jogos do Brasileirão?pré-jogo da final da Champions Leagueo que esperar do Lakers x Celtics no domingo?análise pré-jogo do Brasil na Copa do Mundo
2. Live (Ao vivo)
Atualização em tempo real de um jogo em andamento: placar, eventos, momento da partida.
Exemplos:
como está o jogo do Flamengo agora?placar ao vivo do Corinthianso que está acontecendo no jogo dos Lakers?atualização ao vivo da Premier Leaguecomo está a partida do Brasil?
3. Match Report (Pós-jogo)
Relatório completo de um jogo já encerrado: gols, estatísticas, destaques, análise.
Exemplos:
quanto ficou o jogo do Brasil e Croácia ontem?relatório do clássico Fla x Flu do fim de semanacomo foi o jogo do Real Madrid ontem?resultado do Lakers x Celtics de ontemresumo do jogo do Brasil na Copa do Mundo
What ships with it
4 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.
- 7d ago Changed · -1 lines 5c9192acac3e
- 13d ago First seen · 384 lines · 146 tokens per session scan A c6904709f7ec
sports-reporter is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 5d ago), licensed MIT. It adds 146 tokens to every session and 3,221 once invoked, about $0.0007 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…