skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/context-status/SKILL.md
Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research context-statusInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Show the current session status including context usage estimate, active plan, and preservation state.
Read the context monitor cache to get the current estimate:
cat ~/.claude/sessions/*/context-monitor-cache.json 2>/dev/null | head -20
ls -lt quality_reports/plans/*.md 2>/dev/null | head -3
ls -lt quality_reports/session_logs/*.md 2>/dev/null | head -1
Format the output:
📊 Session Status
─────────────────────────────────
Context Usage: ~XX% (estimated)
Auto-compact: [approaching | not imminent]
📋 Active Plan
File: quality_reports/plans/YYYY-MM-DD_description.md
Status: [draft | approved | in_progress | completed]
Task: [current unchecked task or "none"]
📝 Session Log
File: quality_reports/session_logs/YYYY-MM-DD_description.md
✓ Preservation Check
• Pre-compact hook: [configured | missing]
• Post-compact restore: [configured | missing]
• Session state will be saved before compaction
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".