菜单
Proactively hunt for bugs, edge cases, and failure modes before they hit production. Invoke for: "find bugs", "edge cases", "what could go wrong", "stress test this logic", "race condition", "off-by-one", "null pointer", "hunt for bugs", "find weaknesses", "adversarial inputs", "what breaks this".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | bug-hunter |
| description | Proactively hunt for bugs, edge cases, and failure modes before they hit production. Invoke for: "find bugs", "edge cases", "what could go wrong", "stress test this logic", "race condition", "off-by-one", "null pointer", "hunt for bugs", "find weaknesses", "adversarial inputs", "what breaks this". |
| argument-hint | file, function, or component to hunt |
| allowed-tools | Read, Grep, Glob |
Category: Development
Hunt for bugs, edge cases, and failure modes before users find them. Read code adversarially.
## Bug Hunt — <file> — <date>
### Bugs Found
1. [file.py:34] NULL_DEREF — if user is None, crashes on user.name
Trigger: pass user=None to create_session()
Fix: add `if user is None: raise ValueError`
### Edge Cases Not Handled
### All Clear ✅
/bug-hunter src/llm/claude_client.py — hunt for error handling gaps and edge cases
Accessibility audit against WCAG 2.1 AA standards. Invoke for: "accessibility", "a11y", "WCAG", "screen reader", "aria labels", "color contrast", "keyboard navigation", "accessibility audit", "ADA compliance".
Write Architecture Decision Records (ADRs) to document significant technical decisions. Invoke for: "write ADR", "document this decision", "architecture decision record", "why did we choose X", "decision log", "record this choice", "ADR for".
Design and implement multi-agent orchestration systems. Invoke for: "multi-agent system", "orchestrate agents", "agent pipeline", "agent workflow", "how should agents communicate", "agent coordination", "task delegation to agents", "build an agent system".
AI safety review: alignment, misuse prevention, bias, fairness, and responsible AI. Invoke for: "AI safety review", "bias check", "fairness audit", "alignment", "responsible AI", "misuse prevention", "AI ethics", "safety guardrails", "could this AI system be misused".
LLM and AI agent security: prompt injection, jailbreaks, agent defense, guardrails. Invoke for: "prompt injection", "LLM security", "agent security", "jailbreak defense", "AI safety audit", "system prompt leakage", "adversarial inputs", "AI pipeline security", "tool call validation", "LLM guardrails", "model security", "is my prompt safe".
Improve algorithmic efficiency — find better algorithms and data structures. Invoke for: "algorithm improvement", "better algorithm", "O(n²) is too slow", "data structure choice", "optimize this loop", "algorithmic complexity", "time complexity".