據 AlphaMoat 統計,截至 2026-09,Adversarial Prompting 累計下載 4,056 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 2,510 位,在「AI 智慧體」分類(969 個)中排名第 488 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 124 | 4056 | 4 | - |
| SkillHub ↗ | 155 | 3965 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
它按流程產生多個方案,檢查弱點,提出並驗證修正,再整理為排序建議。完整分析會自動儲存到使用者主目錄;處理機密問題前應審閱匯出步驟,並改為專用私有目錄或選擇性匯出。 匯出應使用專用私人目錄,並避免檔名衝突或覆寫。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4056 | — | 4 |
| 2026-08 | 3905 | +5.7% | 3 |
| 2026-07 | 3694 | +11.3% | 3 |
| 2026-06 | 3320 | +5.5% | 3 |
| 2026-05 | 3146 | — | 3 |
| 2026-03 | 2535 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: adversarial-prompting description: Applies rigorous adversarial analysis to generate, critique, fix, and consolidate solutions for any problem (technical or non-technical). Use when facing complex problems requiring thorough analysis, multiple solution approaches, and validation of proposed fixes before implementation. --- # Adversarial Prompting This skill applies a structured adversarial methodology to problem-solving by generating multiple solutions, rigorously critiquing each for weaknesses, developing fixes, validating those fixes, and consolidating into ranked recommendations. The approach forces deep analysis of failure modes, edge cases, and unintended consequences before committing to a solution. ## When to Use This Skill
Use this skill when: - Facing complex technical problems requiring thorough analysis (architecture decisions, debugging, performance optimization) - Solving strategic or business problems with multiple viable approaches - Needing to identify weaknesses in proposed solutions before implementation - Requiring validated fixes that address root causes, not symptoms - Working on high-stakes decisions where failure modes must be understood - Seeking comprehensive analysis with detailed reasoning visible throughout Do not use this skill for: - Simple, straightforward problems with obvious solutions - Time-sensitive decisions requiring immediate action without analysis - Problems where exploration and iteration are more valuable than upfront analysis ## How to Use This Skill ### Primary Workflow When invoked, apply the following 7-phase process to the user's problem: #### Phase 1: Solution Generation Generate 3-7 distinct solution approaches. For each solution: - Explain the reasoning behind the approach - Describe the core strategy - Outline the key steps or components #### Phase 2: Adversarial Critique For each solution, rigorously identify critical weaknesses. Show thinking while examining: - Edge cases and failure modes - Security vulnerabilities or risks - Performance bottlenecks - Scalability limitations - Hidden assumptions that could break - Resource constraints (time, money, people) - Unintended consequences - Catastrophic failure scenarios Be creative and thorough in identifying what could go wrong. #### Phase 3: Fix Development For each identified weakness: - Propose a specific fix or mitigation strategy - Explain why this fix addresses the root cause - Describe how the fix integrates with the original solution #### Phase 4: Validation Check Review each fix to verify it actually solves the weakness: - Confirm the fix addresses the root cause - Check for new problems introduced by the fix - Flag any remaining concerns or trade-offs #### Phase 5: Consolidation Synthesize all solutions and validated fixes into comprehensive approaches: - Integrate complementary elements from different solutions - Eliminate redundancies - Show how solutions can be combined for stronger approaches - Present the final set of viable options #### Phase 6: Summary of Options Present all viable options in priority order, ranked by: - **Feasibility**: Can this actually be implemented with available resources? - **Impact**: How well does this solve the problem? - **Risk Level**: What could still go wrong? - **Resource Requirements**: Cost in time, money, and effort For each option, provide a one-paragraph summary highlighting key trade-offs. #### Phase 7: Final Recommendation State the top recommendation (single option or combination): - Clear rationale for why this is the best path - Concrete next steps for implementation - Key success metrics to track - Early warning signs to monitor for problems ### Output Format Present the complete analysis in three sections: 1. **Detailed Walkthrough**: Show all phases (1-5) with full reasoning visible 2. **Summary of Options**: Ranked list of viable approaches (Phase 6) 3. **Final Recommendation**: Top choice with implementation guidance (Phase 7) After presenting the analysis, automatically export the complete output to a markdown file using `scripts/export_analysis.py`. ## Implementation Notes - Show reasoning throughout the process for transparency - Be thorough in adversarial critique—surface uncomfortable truths - Validate fixes rigorously to avoid creating new problems - Consolidation should create stronger solutions, not just list options - Final recommendation should be actionable with clear next steps - Export results to markdown for future reference and sharing
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。