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OpenClaw Token Optimizer

OpenClaw Token Optimizer v3.2.0 — practical cost-control toolkit for OpenClaw agents. Lazy context loading, Sonnet/Opus-aware routing, heartbeat scheduling,...

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name: token-optimizer description: OpenClaw Token Optimizer v3.2.0 — practical cost-control toolkit for OpenClaw agents. Lazy context loading, Sonnet/Opus-aware routing, heartbeat scheduling, local token budgets, cache-TTL guidance, and security-audit-safe command behavior for current OpenClaw 2026.6.x installs. version: 3.2.0 homepage: https://github.com/Asif2BD/OpenClaw-Token-Optimizer source: https://github.com/Asif2BD/OpenClaw-Token-Optimizer author: Asif2BD metadata: { "openclaw": { "emoji": "💸", "requires": { "bins": ["python3"] }, "install": [ { "id": "github", "kind": "link", "label": "GitHub", "url": "https://github.com/Asif2BD/OpenClaw-Token-Optimizer", }, { "id": "security", "kind": "link", "label": "Security Notes", "url": "https://github.com/Asif2BD/OpenClaw-Token-Optimizer/blob/main/SECURITY.md", }, ], }, } security: verified: true auditor: Oracle (Matrix Zion) audit_date: 2026-06-22 scripts_no_network: true scripts_no_code_execution: true scripts_no_subprocess: true scripts_data_local_only: true explicit_workspace_writes: true default_commands_no_overwrite: true reference_files_describe_external_services: true optimize_sh_is_convenience_wrapper: true optimize_sh_only_calls_bundled_python_scripts: true

OpenClaw Token Optimizer v3.2.0

Version License

Built for current OpenClaw 2026.6.x agents by Asif2BD · GitHub · Security Notes

Security notice: local-only optimization toolkit. The Python scripts make no network requests and do not execute dynamic code. Commands that write files are explicit, documented, and backup-safe.


Install

openclaw skills install @asif2bd/openclaw-token-optimizer

What's New in v3.2

Modern ClawHub Card

The skill card now leads with a clearer product promise, current OpenClaw compatibility, security posture, and practical commands instead of the older long-form v3.0 copy.

Current OpenClaw Model Routing

Routine Anthropic work maps to anthropic/claude-sonnet-4-5; only explicitly complex reasoning routes to anthropic/claude-opus-4-5.

Audit-Safe Writes

  • context_optimizer.py generate-agents prints to stdout by default.
  • Writing an optimized AGENTS.md requires --output or --workspace-output.
  • ./scripts/optimize.sh heartbeat previews only by default.
  • ./scripts/optimize.sh heartbeat install writes HEARTBEAT.md only after backing up an existing file.

What It Optimizes

Context Loading

Stop loading every workspace file into every session. Recommend only the context needed for the current prompt.

python3 scripts/context_optimizer.py recommend "hi"

Typical result: SOUL.md + IDENTITY.md only for a greeting.

Model Routing

Keep standard work on Sonnet and reserve Opus for deep reasoning.

python3 scripts/model_router.py "thanks!"
python3 scripts/model_router.py "design a multi-agent architecture"

Heartbeat Scheduling

Run only checks that are due, respect quiet hours, and align heartbeat timing with prompt-cache TTL.

python3 scripts/heartbeat_optimizer.py plan
python3 scripts/heartbeat_optimizer.py cache-ttl

Token Budgets

Track local daily budget state and surface warnings before runaway spend.

python3 scripts/token_tracker.py check

Quick Start

1. Find the minimum context for a request

python3 scripts/context_optimizer.py recommend "write a deployment checklist"

2. Preview an optimized AGENTS.md

python3 scripts/context_optimizer.py generate-agents

Save a review copy only when you explicitly ask for it:

python3 scripts/context_optimizer.py generate-agents --output ~/.openclaw/workspace/AGENTS.md.optimized

3. Preview heartbeat installation

./scripts/optimize.sh heartbeat

Install with backup protection:

./scripts/optimize.sh heartbeat install

4. Route a task

python3 scripts/model_router.py "debug this error"

Savings Profile

AreaTypical wasteOptimizer approach
Startup contextLoading docs, memory, tools, and old logs every turnLazy-load only what the prompt needs
Routine model useOpus used for quick replies or simple checksSonnet for routine work, Opus for complex reasoning
HeartbeatsEvery check runs on every heartbeatDue-check planner + quiet hours
Cache TTLIdle sessions trigger expensive cache rewrites55-minute heartbeat guidance for 1-hour cache TTL
Budget controlSpend discovered after the factLocal budget checks before expensive work

Expected savings: 50-80% in context-heavy OpenClaw workspaces, with context optimization usually delivering the biggest win.


Files

Scripts

  • scripts/context_optimizer.py — prompt classification and context bundle recommendations
  • scripts/model_router.py — Sonnet/Opus-aware task routing
  • scripts/heartbeat_optimizer.py — due-check planning, quiet hours, cache-TTL interval guidance
  • scripts/token_tracker.py — local budget tracking
  • scripts/optimize.sh — convenience wrapper around bundled scripts

Assets

  • assets/HEARTBEAT.template.md — backup-safe heartbeat template
  • assets/cronjob-model-guide.md — scheduled-task model guidance
  • assets/config-patches.json — native and optional config examples

References

  • references/PROVIDERS.md — optional external-provider strategy notes
  • SECURITY.md — complete security and data-handling breakdown

Security Posture

  • No network calls in executable scripts
  • No eval, dynamic imports, shell command execution, or downloader behavior
  • Local JSON state only under the OpenClaw workspace memory directory
  • Workspace writes require explicit commands
  • Existing HEARTBEAT.md is backed up before replacement
  • .clawhubsafe covers every published file with SHA256 hashes

Verify locally:

sha256sum -c .clawhubsafe

Native OpenClaw Diagnostics

Use OpenClaw's built-in context and usage commands alongside this skill:

/context list
/context detail
/usage tokens
/usage cost

Use the built-ins to see where tokens are going, then use Token Optimizer to reduce the recurring waste.


Best Fit

  • Multi-agent OpenClaw workspaces with large instruction files
  • Agents that run heartbeats or scheduled checks
  • Teams trying to keep Opus for hard work instead of routine work
  • xCloud, MissionDeck, or other hosted OpenClaw deployments where every saved prompt token compounds across users

More by Asif2BD

openclaw skills install @asif2bd/jarvis-mission-control
openclaw skills search asif2bd

如何使用「OpenClaw Token Optimizer」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「OpenClaw Token Optimizer技能完成任务
  4. 结果即时呈现,支持继续对话优化

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