Abe Diaz (@abe238)

Adversarial Prompting

AI 智慧體v1.0.0
作者:Abe Diaz (@abe238)更新於 2026-05-11adversarial-prompting@clawhub_abe238/adversarial-prompting
任務自動化工作流編排

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。

累計安裝
155
累計下載
4056
星標
4
全站排名
#2,510
全站前 50% · 「AI 智慧體」前 51%
平台累計安裝累計下載星標評論
ClawHub ↗12440564-
SkillHub ↗15539653—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

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

可以用來做什麼

  • 比較複雜問題的多個解決路徑
  • 在實施前檢查方案的失效模式

什麼時候用

  • 問題複雜且允許先做深入分析時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

比較幾個方案並指出各自的風險,但不要匯出檔案。
把分析輸出改為僅在我確認後儲存到指定私有目錄。

月度資料趨勢

累計下載4056
2413329641782026-03 · 累計下載 25352026-05 · 累計下載 31462026-06 · 累計下載 33202026-07 · 累計下載 36942026-08 · 累計下載 39052026-09 · 累計下載 405626-0326-09
星標4
3442026-03 · 星標 32026-05 · 星標 32026-06 · 星標 32026-07 · 星標 32026-08 · 星標 32026-09 · 星標 426-0326-09

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
2026-094056—4
2026-083905+5.7%3
2026-073694+11.3%3
2026-063320+5.5%3
2026-053146—3
2026-032535—3

SKILL.md 原文

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。

4.4 KB · ClawHub v1.0.0
---
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
展開全部(共 103 行)

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

「AI 智慧體」分類下的熱門技能

Abe Diaz (@abe238) 的其他技能

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。