Context Window Stuffing
Medium
- Category
- Memory Poisoning
- Confidence
- 85% confidence
- Finding
Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
- Content
md # context-near-overflow When a conversation or task grows large enough to fill the context window, the model begins silently dropping earlier content. The output doesn't error — it degrades. The model appears to be working but is operating on a truncated view of the task, producing answers that are incomplete, inconsistent, or contradictory to earlier parts of the session. ## Symptoms
