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Get Started Free →wasabeef/透過程式碼庫和文件驗證資訊準確性
透過程式碼庫和文件驗證資訊準確性。「這個資訊對嗎?」「事實檢查」「驗證這個」等觸發。
Passed 17 of 21 test cases with the skill, and 13 of 21 without it.
and 6 more in the full report
6 fixed12 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
請針對「專案的路由管理已升級至 auto_route v7」進行事實核對。在 pubspec.yaml 第 20 行呈現 auto_route: ^7.8.0。請輸出包含標題、檢驗對象、結論、依據與詳細說明的格式化報告。
| Checked | Without skill | With skill |
|---|---|---|
| The output uses the section header ## 事實檢查結果. | Missed | Passed |
| The conclusion status is ✅ 正確. | Missed | Passed |
The instructions your model reads when the skill loads.
參考項目內的代碼庫、文檔 (docs/、README.md 等),確認所給資訊的正確性。
# 基本用法
/check-fact "Flutter 應用使用了 Riverpod"
# 一次性確認多個資訊
/check-fact "這個項目使用 GraphQL,並通過 auto_route 管理路由"
# 確認特定技術規範
/check-fact "使用 JWT 進行身份驗證,未使用 Firebase Auth"
資訊源優先級
判定結果分類
✅ 正確 - 資訊與代碼庫完全一致❌ 錯誤 - 資訊明顯錯誤⚠️ 部分正確 - 部分準確但不完整❓ 無法判斷 - 缺少必要的確認資訊依據明示
## 事實檢查結果
test cases passed, vs 13 / 21 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.