Thanks, now i have clear understanding. The thing is, what’s the token/result ratio with this extension? Is there any way to benchmark?
Token reduction: 64-95% depending on codebase size and work pattern. The variance is because it depends on how many files are in your .claude/ directory and how focused your session is.
How to measure yourself: 1. Check `~/.claude/attention_history.jsonl` after a session 2. Run `python3 ~/.claude/scripts/history.py --since 2h` to see what got injected vs evicted 3. Compare your token counts before/after in Claude Code's usage stats
The 25k character injection cap is the key constraint (adjustable), forces the router to prioritize ruthlessly instead of dumping everything in.
A proper benchmark comparing baseline Claude Code vs claude-cognitive on identical tasks would be useful. If someone wants to build that, I'd happily collaborate.