Como usar
- Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
- Consulte no original as ferramentas, credenciais e ambientes necessários.
- Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/millionco/react-doctor --skill rule-researchAntes de começar
- A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
- Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill
Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
Research a rule
Produce a rule contract that rule-writing can implement without guessing.
Define the behavior
Resolve only questions that affect correctness:
- Which code pattern should report?
- Which runtime behavior makes it harmful?
- Which similar code must stay quiet?
- Does detection need syntax, scope, or path analysis?
- Which imported, dynamic, type-driven, or interprocedural cases stay out of scope?
If the user requested implementation, make the contract concise and continue.
Collect evidence
- Define the rule in one sentence:
This rule catches <pattern> that causes <problem>. - Explain the runtime reason.
- Inspect nearby rules, tests, utilities, and the generated registry.
- Use
trufflerbefore proposing a new detector or helper:
sh
bunx @rayhanadev/truffler "<symbol-or-behavior>" \
packages/oxlint-plugin-react-doctor/src/plugin \
--kind function,interface,type,constant --limit 20- Gather official documentation, implementation notes, related linter behavior, and open-source examples.
- Separate strong positives, adjacent patterns, valid traps, and unsupported cases.
- Choose syntax-only, scope-aware, or path-aware detection.
Use rde-eval when a bounded open-source sample could change the contract. Leave final pull request parity to rule-validate.
Write the contract
Return:
md
Rule definition:
<pattern and specific problem>
Runtime reason:
<short explanation>
Detector precision:
<syntax-only, scope-aware, or path-aware>
Evidence:
- <source and implication>
Strong positives:
- <reportable examples>
False-positive traps:
- <valid examples>
In scope:
- <supported cases>
Out of scope:
- <explicit boundaries>
Test seeds:
- <invalid and valid fixtures>
Open questions:
- <correctness blockers only>Treat false positives as correctness bugs. Keep the diagnostic narrower than or equal to the proven behavior. Split adjacent ideas into separate rules.
