skills/41-sticerd-eee-sewage-econometrics-check/skills/context-status/SKILL.md
Show current session status and context health for the sewage project. Use to check context usage, active work state, and what will survive compaction.
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 current session status including context usage estimate and project state.
# Recent git activity
git log --oneline -5
# Working tree status
git status --short
# Recent output files
ls -lt output/log/ 2>/dev/null | head -5
# Count analysis scripts
find scripts/R/09_analysis/ -name "*.R" | wc -l
# Count output tables and figures
ls output/tables/*.tex 2>/dev/null | wc -l
ls output/figures/ 2>/dev/null | wc -l
# Check manuscript sections
ls docs/overleaf/*.tex 2>/dev/null
Format output:
Session Status
---
Recent commits: [last 3]
Uncommitted changes: [count]
Recent reports: [last 3 in output/log/]
Project Progress
---
Pipeline scripts: N
Analysis scripts: N
Output tables: N
Output figures: N
Manuscript sections: N .tex files
Memory Files
---
[List files in .claude/projects/.../memory/]
/commit to save work before context compactiontools
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".