# Token Pruning Efficiency Plan Captured

> Captured a concrete implementation plan for reducing token estimation overhead in pruneoldtool_outputs(), including reuse of precomputed token counts, cached placeholder tokens, early termination in Phase 1, and a…

- Skill: `tools-only/token-pruning-efficiency-plan-captured` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add tools-only/token-pruning-efficiency-plan-captured`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tools-only/token-pruning-efficiency-plan-captured/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tools-only (https://skillmd.com/u/tools-only)
- Updated: 2026-09-29
- Page: https://skillmd.com/skills/tools-only/token-pruning-efficiency-plan-captured

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# Token Pruning Efficiency Plan Captured

## Summary

Captured a concrete implementation plan for reducing token estimation overhead in `prune_old_tool_outputs()`, including reuse of precomputed token counts, cached placeholder tokens, early termination in Phase 1, and a decision gate for token caching.

## Context

- Plan file: `memory-bank/plan/2026-02-02_token-pruning-efficiency-plan.md`
- Research source: `memory-bank/research/2026-02-02_token_estimation_overhead.md`

## Next Steps

- Execute milestones M1–M3 once scope is approved
- Decide on caching strategy (M4)