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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ben-manes/caffeine --skill audit-adversarial-input명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Regenerate the window climber's adversarial trap traces and run the behavioral gate against the real cache in the simulator
Adversarial workload search for eviction-policy regret. Crafts, shrinks, and classifies workloads on which the adaptive window climber fails to close the gap to its achievable optimum, and routes each failure class to the mechanism responsible (controller, policy structure, or recovery layer)
Price each algorithmic step of the window climber by removing it, to find steps that no longer earn their keep and branches that no longer fire
SOC 직업 분류 기준
SKILL.md 표시 중
| name | audit-adversarial-input |
| description | Analyze behavior under adversarial or extreme API inputs |
| context | fork |
| agent | auditor |
| disable-model-invocation | true |
Analyze the cache for defects triggered by adversarial or extreme API inputs.
For each category, construct concrete inputs and trace the code path:
Weight extremes: Integer.MAX_VALUE for every entry (overflow?), MAX_VALUE→1 delta (overflow?), 0 for all (unbounded growth?), inconsistent weigher (divergence?).
Expiry extremes: Long.MAX_VALUE nanos (timer wheel overflow?), 0 or negative (infinite loops?), MAX→0 transitions, alternating durations.
Maximum size extremes: Long.MAX_VALUE (arithmetic overflow?), maximumSize(0) (graceful degeneration?), maximumSize(1) (temporary oversize?).
Key/value adversarial behavior: constant hashCode(0) (sketch degeneration?), slow equals() (lock hold explosion?), mutating hashCode (silent corruption?), huge values (allocation failure handling?).
Concurrency extremes: 10K threads on same computeIfAbsent, puts exceeding maintenance throughput (backpressure?), refresh storms from short refreshAfterWrite.
Frequency sketch saturation: all accesses to same key, all unique keys (reset cost?), counter overflow beyond 4-bit limit.
Time extremes: nanoTime near Long.MAX_VALUE (wrap-around?), non-monotonic ticker, large time jumps (timer wheel handling?).
For each issue: state input values, trace computation, state whether it causes incorrect behavior / OOM / infinite loop / degraded performance / graceful handling.
Do not report issues requiring API contract violations (e.g., null keys) unless the violation is undetected and causes silent corruption.