Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically analyze and reduce OpenClaw token waste through context compression, tool-call deduplication insights, model selection guidance, and session hygiene checks. Use when sessions are nearing context limits, costs are climbing, or you want proactive token optimization before expensive tasks.
Automatically analyze and reduce OpenClaw token waste through context compression, tool-call deduplication insights, model selection guidance, and session hygiene checks. Use when sessions are nearing context limits, costs are climbing, or you want proactive token optimization before expensive tasks.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Use this skill to optimize OpenClaw token usage with a local CLI that performs analysis, compression snapshots, health checks, cleanup planning, and preflight token budgeting.
$OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --analyze --period 7d
Enable local optimizer config: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --enable Optimization analysis: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --analyze --period 7d Force context compression snapshot: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --compress --threshold 0.7 --session agent:main:main Session health check: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --health-check --active-minutes 120 Auto-cleanup planning and apply: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --cleanup $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --cleanup --apply
Use preflight planning before expensive task batches: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize \ --preflight /path/to/actions.json \ --session-limit 180000 actions.json should be a JSON array of planned operations, for example: [ {"type": "web_search", "query": "..."}, {"type": "web_fetch", "url": "..."}, {"type": "summarize", "target": "youtube"} ]
Compression snapshots: $OPENCLAW_WORKSPACE/token-usage/compressed/ Optional JSON output: --format json --output /path/file.json Baseline config (from --enable): $OPENCLAW_WORKSPACE/token-usage/token-optimizer.config.json
Default behavior is configured in: config/defaults.json Override with: $OPENCLAW_SKILLS_DIR/token-optimizer/scripts/token-optimize --config /path/custom.json --analyze
scripts/token_optimize.py: main CLI src/optimizer.py: core optimization engine src/models.py: model selection logic src/compression.py: context compression helpers src/cleanup.py: session hygiene evaluation references/operating-notes.md: implementation details and safe-operating guidance
python3 $OPENCLAW_SKILLS_DIR/.system/skill-creator/scripts/quick_validate.py \ $OPENCLAW_SKILLS_DIR/token-optimizer
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