New Tool Injects Instructions into Claude Code Based on Context Usage
A developer frustrated with Claude Code hitting context limits mid-task has created a tool that monitors context usage and injects custom instructions when thresholds are crossed — allowing Claude to act on warnings before it is too late.
The Problem
Claude Code auto-compaction often happens at the worst times. The standard 20% warning usually comes too late to do anything useful, resulting in lost context and interrupted workflows.
The Solution
The cc-context-awareness tool uses the status line and hooks to set custom warning thresholds. The key innovation: messages get injected mid-task (inside the agentic loop), so Claude can actually act on them.
Use Cases
- Deterministic handoffs — At 75% context, Claude writes a session summary to a memory file, then suggests /compact. After compaction, it reads the file and continues.
- Graduated warnings — Gentle nudge at 60%, serious warning at 80%, full stop at 95%. Good for long sessions with progressive nudges.
- Autonomous agent loops — Write state and close out at 50-60% usage, staying well below the "dumb zone" where quality degrades.
- Long-horizon tasks — Multi-file refactors, extended debugging. Checkpoint and wrap up before quality drops.
Installation
One-liner install:
curl -fsSL https://raw.githubusercontent.com/sdi2200262/cc-context-awareness/main/install.sh | bashThe tool installs as a skill, so you can ask Claude to help configure thresholds, change bar styles, and customize behavior.
📖 Read the full source: r/ClaudeAI
👀 See Also
Mnemos: Open-Sourced Local-First Memory Layer for Coding Agents
Mnemos is a local-first memory layer for solo coding-agent workflows that addresses common memory system failures like scope bleed, stale facts, and unbounded transcript growth. The public beta includes SQLite starter profiles, MCP support for Claude Code/Desktop, and a biomimetic pipeline with components like SurprisalGate and MutableRAG.
altRAG: Replace Vector DB RAG with 2KB Pointer Files for AI Coding Agents
altRAG is a Python tool that replaces vector database RAG with lightweight pointer files. It scans Markdown/YAML skill files to create a 2KB skeleton file mapping sections to exact line numbers and byte offsets, allowing AI agents to read only needed sections instead of entire files.
Claude-Code v2.1.111 adds Opus 4.7 xhigh effort, /ultrareview, and PowerShell tool
Claude-Code v2.1.111 introduces the Opus 4.7 xhigh effort level between high and max, adds the /ultrareview command for cloud-based multi-agent code reviews, and begins rolling out PowerShell tool support on Windows. The update also includes interactive /effort controls, auto theme matching, and numerous bug fixes.
OpenClaw Smart Router Open-Sourced for Automatic Model Selection
A developer has open-sourced a Smart Router for OpenClaw that automatically classifies queries by complexity and routes them to optimal models, saving 60-80% on API costs compared to always using premium models like Claude or GPT-4o.