Borrowing it
Nothing to install: this file belongs to kschltz/lorcana-mcp-platform. 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/kschltz/lorcana-mcp-platform/main/.cursor/skills/lorcana-card-analysis/SKILL.mdgit clone --depth 1 https://github.com/kschltz/lorcana-mcp-platformWrote 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/kschltz/lorcana-mcp-platform/lorcana-card-analysis)<a href="https://agentmods.dev/skills/kschltz/lorcana-mcp-platform/lorcana-card-analysis"><img src="https://agentmods.dev/badge/skills/kschltz/lorcana-mcp-platform/lorcana-card-analysis/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/kschltz/lorcana-mcp-platform/lorcana-card-analysis"><img src="https://agentmods.dev/badge/skills/kschltz/lorcana-mcp-platform/lorcana-card-analysis.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 | $0.00122 | $0.01291 |
| Opus 5 | $0.00061 | $0.00646 |
| Sonnet 5 | $0.00024 | $0.00258 |
| Haiku 4.5 | $0.00012 | $0.00129 |
Grade A, and why
lorcana-card-analysis 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 11d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lorcana Card Analysis
Análise profunda de cartas e decks de Disney Lorcana baseada em dados reais de duas fontes complementares:
- lorcana-api.com — texto completo das cartas (habilidades, traits, flavor), atributos e bulk de todos os sets. Cobertura: sets 1–12.
- dreamborn.ink — mais atualizada (set mais recente), preços em USD, decks públicos do meta com arquétipos/likes, decklists completas.
- inktable.net/lor (Ink Table) — playground de playtest: simulador gratuito no navegador para jogar a decklist contra IA, sem instalação nem conta. Aceita importação de lista em texto (formato dreamborn/pixelborn). Aponte como destino de teste ao entregar decks. Se o usuário pedir para jogar/testar a partida você mesmo, siga
references/inktable-playtest.md(automação Playwright completa: setup com bloqueio de anúncios, importação, interação de cliques, leitura do log, gravação de vídeo).
Ferramentas
Use scripts/lorcana_lookup.py (stdlib apenas) para toda consulta — não escreva requests ad hoc:
python3 scripts/lorcana_lookup.py card "Elsa" --title "Spirit of Winter" [--set TFC]
python3 scripts/lorcana_lookup.py search color=Ruby rarity=Legendary [set-code=WUN]
python3 scripts/lorcana_lookup.py bulk # salva /tmp/lorcana_bulk.json
python3 scripts/lorcana_lookup.py decks [--max-results 10]
python3 scripts/lorcana_lookup.py deck <id-do-deck> # decklist completa + preço + descrição
Referências (leia conforme a necessidade):
references/lorcana-api.md— endpoints, modelos de dados e diferenças strict vs bulk.references/dreamborn.md— endpoints, modelo de carta, decks/meta, formato de decklist em texto.references/inktable-playtest.md— como jogar partidas reais no Ink Table via Playwright (leia quando o usuário pedir para testar/jogar um deck contra a IA).
Fluxo de análise de uma carta
- Perfil:
cardno script — funde as duas fontes (texto de habilidades vem do lorcana-api; variants/raridade/preço de mercado do dreamborn). Se a carta não existir no lorcana-api (set muito novo), use só dreamborn e busque o texto na web. - Benchmark de stats: baixe o
bulkuma vez e compare a carta com a coorte de mesmo custo/ink (localmente, com pandas ou Python): strength+willpower+lore vs. custo, taxa de inkables, curva padrão do custo. A vanilla test: cartas inkable com stats na curva + habilidade forte = premium; uninkable precisa de habilidade claramente acima da curva. - Texto e keywords: avalie habilidades pelo impacto em jogo (draw/ramp/removal/proteção), custo de ativação, e keywords (Evasive, Ward, Shift, Rush, Challenger, Resist, Singer...). Sinergias: busque outras cartas da mesma classificação/nome/franquia via
searchou grep no bulk (ex. todas as "Puppy", todos os "Musketeer"). - Contexto de meta:
deckslista decks públicos populares;deck <id>traz a lista completa, o preço total e a descrição do criador (plano de jogo). Verifique se a carta aparece em decks com muitos likes/views do mesmo arquétipo. - Formato legal: campo
formatsdos decks (1 = Core, 2 = Infinity). Para Core, confirme se a carta é dos sets válidos no momento.
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.
- 11d ago First seen · 54 lines · 122 tokens per session scan A bd526d1b8008
lorcana-card-analysis is a skill published in the GitHub repository kschltz/lorcana-mcp-platform (0 stars, last pushed 1mo ago), licensed MIT. It adds 122 tokens to every session and 1,291 once invoked, about $0.0006 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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