Context Window Manager for OpenClaw — Review, Trust Score & Install Guide

Short answer: Context Window Manager is a verified OpenClaw skill for ai & llms. Trust Score 94/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 94/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-18
Reviewer: OpenClaw Skills Hub editorial team
Version: 2.1.0
Author: openclaw-core
Install command: npx clawhub@latest install context-window-manager

How we calculate Trust Scores →

What Context Window Manager does

Context Window Manager solves the biggest challenge in working with LLMs: fitting the right information into limited context windows. It automatically chunks large documents, creates hierarchical summaries, and uses semantic relevance scoring to prioritize what context matters most for each query. Works with 4K to 2M token windows.

How to install Context Window Manager

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install context-window-manager
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Process documents larger than any model's context limit
Prioritize relevant context for complex queries
Build RAG pipelines with intelligent chunking
Maintain conversation history across long sessions

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

GPT Prompt Chainer — Chain multiple GPT prompts together with context passing for complex multi-step AI workflows.
RAG Pipeline — Build production-ready Retrieval-Augmented Generation pipelines with document ingestion, chunking, and retrieval.
Token Counter — Accurately count tokens for any model, estimate costs, and track usage across all your AI workflows.

Frequently asked questions

How does it decide what context to keep?

It uses semantic similarity scoring and recency weighting to rank content relevance for each specific query.

Does it work with all models?

Yes — it auto-detects model context limits and optimizes accordingly, from 4K to 2M tokens.

How do I install Context Window Manager?

Run `npx clawhub@latest install context-window-manager` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.