Token Optimizer for OpenClaw & Hermes

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.

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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

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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