Tencent SkillHub · AI

Token Saver

Reduce OpenClaw AI costs with model-aware optimization. Features dynamic compaction presets based on your model's context window, intelligent file compression, and robust model detection with fallback. Supports Claude, GPT-4, Gemini, DeepSeek, and more.

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High Signal

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: audit.json, package.json, README.md, scripts/analyzer.js, scripts/compressor.js, scripts/models.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 3.0.0

Provenance

Publisher: RubenAQuispe
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

Token Saver v3

💡 Did you know? Every API call sends your workspace files (SOUL.md, USER.md, MEMORY.md, AGENTS.md, etc.) along with your message. These files count toward your context window, slowing responses and costing real money on every message. Token Saver v3 is model-aware — it knows your model's context window and adapts recommendations accordingly. Using Gemini's 1M context? Presets scale up. On GPT-4o's 128K? Presets adjust down.

What's New in v3

Featurev2v3Compaction presetsFixed (80K/120K/160K)Dynamic (% of model's context)Model detectionFragile, env-onlyRobust fallback chainContext windowsNot trackedFull registry (9 models)Model infoHardcoded pricingJSON registry, easy updatesAlready-optimizedRe-compressedSmart bypass

Commands

CommandWhat it does/optimizeFull dashboard — files, models, context usage %/optimize tokensCompress workspace files (auto-backup)/optimize compactionChat compaction control (model-aware)/optimize compaction balancedApply balanced preset (60% of context)/optimize compaction 120Custom threshold (compact at 120K)/optimize modelsDetailed model audit with registry/optimize revertRestore backups, disable persistent mode

📊 Model-Aware Dashboard

Shows current model, context window, and usage percentage: 🤖 Model: Claude Opus 4.5 (200K context) Detected: openclaw.json 📊 Context Usage: [████████░░░░░░░░░░░░] 42% (84K/200K)

📁 Workspace File Compression

Scans all .md files, shows token count and potential savings. Smart bypass skips already-optimized files. File-aware compression: SOUL.md — Light compression, keeps personality language AGENTS.md — Medium compression, dense instructions USER.md / MEMORY.md — Heavy compression, key:value format PROJECTS.md — No compression (user structure preserved)

💬 Dynamic Compaction Presets

Presets adapt to your model's context window: Preset% of ContextClaude 200KGPT-4o 128KGemini 1MAggressive40%80K51K400KBalanced60%120K77K600KConservative80%160K102K800KOff95%190K122K950K

🤖 Model Registry

24+ models with context windows, pricing, and aliases: Claude: Opus 4.6 (1M), Opus 4.5, Sonnet 4.5, Sonnet 4, Haiku 4.5, Haiku 3.5 (200K) OpenAI: GPT-5.2, GPT-5.1, GPT-5-mini, GPT-5-nano (256K), GPT-4.1, GPT-4o (128K), o1, o3, o4-mini Gemini: 3 Pro (2M), 2.5 Pro, 2.0 Flash (1M) Others: DeepSeek V3 (64K), Kimi K2.5 (128K), Llama 3.3 70B, Mistral Large

🔍 Robust Model Detection

Detection priority: Runtime injection (--model=...) Environment variables (SKILL_MODEL, OPENCLAW_MODEL) Config file (~/.openclaw/openclaw.json) File inference (TOOLS.md, MEMORY.md mentions) Fallback: Claude Sonnet 4 (safe default) Unknown model handling: Strict version matching — opus-6.5 won't fuzzy-match to opus-4.5 Unknown models get safe defaults (200K context) + warning Easy to add new models to scripts/models.json

📝 Persistent Mode

Adds writing guidance to AGENTS.md for continued token efficiency: FileWriting StyleSOUL.mdEvocative, personality-shapingAGENTS.mdDense instructions, symbols OKUSER.mdKey:value factsMEMORY.mdUltra-dense data

Safety

Auto-backup — All modified files get .backup extension Integrity > Size — Never sacrifices meaning for smaller tokens Smart bypass — Skips already-optimized files Revert anytime — /optimize revert restores everything No external calls — All analysis runs locally

Installation

clawhub install token-saver --registry "https://www.clawhub.ai"

Version History

3.0.0 — Model registry, dynamic presets, robust detection, smart bypass 2.0.1 — Chat compaction, file-aware compression, persistent mode 1.0.0 — Initial release

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Config2 Scripts1 Docs

README.md Docs
scripts/analyzer.js Scripts
scripts/compressor.js Scripts
audit.json Config
package.json Config
scripts/models.json Config