القائمة
Analyze behavior under adversarial or extreme API inputs
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Audit the adaptive window hill-climber and region-resize logic for implementation defects (not algorithm quality)
JSR-107 (JCache) spec-conformance audit
Audit explicit state machines (drain status, node lifecycle, async-value lifecycle) for illegal or missed transitions
Heavyweight history-mining bug audit. Walks the caffeine module's git history chronologically (oldest to HEAD), maintains a forward-tracked issue database, and surfaces concerns introduced by past commits that were never resolved. Catches bugs that snapshot mining cannot — half-fixes invisible from current state, latent+trigger pairs across multi-commit interactions, and partial refactors. Slow (model/effort-dependent; ~24h on Opus + max effort) and rare-run (every several months or before a major release).
Differential audit comparing matched code paths that should behave identically. Spawns one auditor per sibling pair (sync/async, bounded/unbounded, view consistency, bulk vs single, generated node variants, read fast vs slow, adapter conformance) and requires a concrete witness scenario where the two paths diverge observably.
Find places where documented API contracts and the implementation diverge
| 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.
