技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
backtesting-frameworks【数据与研究】Apply backtesting frameworks in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses backtesting frameworks or its strengths fit the task.
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Use this Skill to produce a bounded, verifiable Backtesting Frameworks outcome. Preserve the user's chosen stack, source material, and authorization boundaries.
Read the SandBase API map only when the task genuinely needs an external data source or generative model.
Keep the core Backtesting Frameworks work local. Use SandBase only for an explicitly requested external dataset or model inference step that is not part of the local analysis.
sandbase_discover with a short capability query.sandbase_inspect for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.sandbase_account before an approved multi-call batch and call sandbase_run only with current schema-defined arguments.sandbase_run_get using the same run ID; never resubmit merely because it is pending.sandbase_runs only to recover status or reconcile observed cost.If SandBase is unavailable, continue with local work and authorized sources when possible. Do not silently switch providers, fabricate external results, or claim a generation or retrieval succeeded.
Provide the completed artifact or findings, concise reproduction steps, checks actually run, source or asset provenance, SandBase endpoint and run IDs when used, observed cost when available, and any follow-up that still requires user action.