节省
PRECC追踪每次拦截的估计token节省。使用 precc savings 查看PRECC阻止了多少浪费。
快速摘要
$ precc savings
Session Token Savings
=====================
Total estimated savings: <span data-stat="session_tokens_saved">8,741</span> tokens
Breakdown:
Pillar 1 (cd prepends): <span data-stat="session_p1_tokens">3,204</span> tokens (<span data-stat="session_p1_count">6</span> corrections)
Pillar 4 (skill activations): <span data-stat="session_p4_tokens">1,560</span> tokens (<span data-stat="session_p4_count">4</span> activations)
RTK rewrites: <span data-stat="session_rtk_tokens">2,749</span> tokens (<span data-stat="session_rtk_count">11</span> rewrites)
Lean-ctx wraps: <span data-stat="session_lean_tokens">1,228</span> tokens (<span data-stat="session_lean_count">2</span> wraps)
详细分类（Pro）
$ precc savings --all
Session Token Savings (Detailed)
================================
Total estimated savings: <span data-stat="session_tokens_saved">8,741</span> tokens
Command-by-command:
# Time Command Saving Source
1 09:12 cargo build 534 tk cd prepend (cargo-wrong-dir)
2 09:14 cargo test 534 tk cd prepend (cargo-wrong-dir)
3 09:15 git status 412 tk cd prepend (git-wrong-dir)
4 09:18 npm install 824 tk cd prepend (npm-wrong-dir)
5 09:22 find . -name "*.rs" 387 tk RTK rewrite (output truncation)
6 09:25 cat src/main.rs 249 tk RTK rewrite (lean-ctx wrap)
7 09:31 cargo clippy 534 tk cd prepend (cargo-wrong-dir)
...
Pillar Breakdown:
Pillar 1 (context resolution): <span data-stat="session_p1_tokens">3,204</span> tokens <span data-stat="session_p1_pct">36.6</span>%
Pillar 2 (GDB debugging): 0 tokens 0.0%
Pillar 3 (mined preventions): 0 tokens 0.0%
Pillar 4 (automation skills): <span data-stat="session_p4_tokens">1,560</span> tokens <span data-stat="session_p4_pct">17.8</span>%
RTK rewrites: <span data-stat="session_rtk_tokens">2,749</span> tokens <span data-stat="session_rtk_pct">31.5</span>%
Lean-ctx wraps: <span data-stat="session_lean_tokens">1,228</span> tokens <span data-stat="session_lean_pct">14.1</span>%
如何估算节省
每种修正类型都有基于没有PRECC时会发生什么的估计token成本：
| 修正类型 | 估计节省 | 原因 |
|---|---|---|
| cd prepend | ~500 tokens | 错误输出 + Claude推理 + 重试 |
| 技能激活 | ~400 tokens | 错误输出 + Claude推理 + 重试 |
| RTK rewrite | ~250 tokens | Claude需要阅读的冗长输出 |
| Lean-ctx wrap | ~600 tokens | 大文件内容被压缩 |
| 挖掘预防 | ~500 tokens | 已知的失败模式被避免 |
这些是保守估计。实际节省通常更高，因为Claude对错误的推理可能很冗长。
累计节省
节省数据在PRECC数据库中跨会话持久化。随着时间推移，您可以跟踪总体影响：
$ precc savings
Session Token Savings
=====================
Total estimated savings: <span data-stat="session_tokens_saved">8,741</span> tokens
Lifetime savings: <span data-stat="total_tokens_saved">142,389</span> tokens across <span data-stat="total_sessions">47</span> sessions