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

OpenClaw Token Optimizer v3.2.0

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.

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Install

openclaw skills install @asif2bd/openclaw-token-optimizer

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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.

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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

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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"

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Savings Profile

Area	Typical waste	Optimizer approach
Startup context	Loading docs, memory, tools, and old logs every turn	Lazy-load only what the prompt needs
Routine model use	Opus used for quick replies or simple checks	Sonnet for routine work, Opus for complex reasoning
Heartbeats	Every check runs on every heartbeat	Due-check planner + quiet hours
Cache TTL	Idle sessions trigger expensive cache rewrites	55-minute heartbeat guidance for 1-hour cache TTL
Budget control	Spend discovered after the fact	Local budget checks before expensive work

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

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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

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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

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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.

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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

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