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// Skill profile

OpenClaw Token Optimizer

name: openclaw-token-optimizer

by ccjingeth · published 2026-03-22

日历管理自动化任务加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:ccjingeth/ccjingeth-openclaw-token-save
View on GitHub
// Full documentation

---

name: openclaw-token-optimizer

description: Optimize OpenClaw token usage and cost by auditing context injection, trimming workspace files (AGENTS.md/SOUL.md/MEMORY.md and daily memory), enabling prompt caching, heartbeat, context pruning, compaction, memory search or qmd, subagents, model tiering, and cron frequency. Use when a user asks to reduce OpenClaw token spend, speed up sessions, shrink context, or configure openclaw.json and memory search settings.

---

# OpenClaw Token Optimizer

Overview

Deliver a practical audit and configuration plan that cuts input tokens and unnecessary calls while keeping answer quality. Provide concrete config edits, workspace file trimming guidance, and a prioritized rollout plan.

Workflow

1) Scope and locate configuration

  • Identify the OpenClaw config file location (common paths include `~/.openclaw/openclaw.json`, `.openclaw/openclaw.json`, or project root config).
  • List injected workspace files in scope (e.g., `AGENTS.md`, `SOUL.md`, `TOOLS.md`, `IDENTITY.md`, `USER.md`, `HEARTBEAT.md`, `MEMORY.md`, and `memory/YYYY-MM-DD.md`).
  • Confirm provider and model support for prompt caching and memory search to avoid proposing unsupported keys.

    • 2) Baseline token sources

  • Break input cost into buckets: system prompt, tool schema, workspace files, memory files, and conversation history.
  • Use a rough sizing method if exact token counts are unavailable (e.g., characters/4 as a quick estimate) and call out that the estimate is approximate.

    • 3) Input reduction (highest ROI)

  • Trim workspace files first. Target budgets:

    • - `AGENTS.md`: keep only essential agent rules and policies.

    - `SOUL.md`: reduce to short persona bullets.

    - `MEMORY.md`: keep durable facts only; archive the rest.

    - `memory/YYYY-MM-DD.md`: prune or rotate daily logs.

  • Remove unused workspace injections in config (e.g., if `TOOLS.md` or `IDENTITY.md` is unused).
  • Prefer memory search over full-file injection for large memories. If using qmd, index only needed paths.

    • 4) Cache and context control

  • Enable prompt caching for the primary model when supported. Set `cacheRetention` to a long window and keep a consistent system prompt to maximize cache hits.
  • Configure heartbeat to keep the cache warm (e.g., ~55 minutes), using a low-cost model and a minimal heartbeat prompt.
  • Enable context pruning with a TTL that matches the cache window to prevent unbounded history growth.
  • Add compaction with memory flush so long sessions preserve durable decisions while clearing history.

    • 5) Call reduction

  • Audit cron and scheduled tasks. Consolidate overlapping checks, reduce frequency, and move non-creative tasks to cheaper models.
  • Configure delivery to be on-demand or only on change to avoid no-op calls.

    • 6) Model strategy

  • Default to a cost-effective model for routine work and provide aliases for manual upgrades to premium models.
  • Use subagents for parallel, isolated tasks with cheaper models to avoid bloating the main context.

    • 7) Deliverables

    Provide:

  • A short audit summary and estimated savings.
  • A concrete config patch or JSON snippet for `openclaw.json`.
  • A list of files to trim, with before/after size targets.
  • A phased rollout plan (quick wins first, then advanced options).

    • References

  • Use `references/openclaw-token-optimization.md` for configuration snippets, checklists, and qmd guidance.
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