Install or reconcile research-project safety rules and protected folder boundaries for data, code, outputs, and paper sources. Use when a project lacks guardrails or is being migrated into the governed structure. Not for auditing the full research scaffold; use $audit-project-research.
Installs into .claude/skills of the current project.
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---
name: project-safety
description: "Install or reconcile research-project safety rules and protected folder boundaries for data, code, outputs, and paper sources. Use when a project lacks guardrails or is being migrated into the governed structure. Not for auditing the full research scaffold; use $audit-project-research."
argument-hint: "[project-path]"
---
# Project Safety Skill
**CRITICAL RULE: Never delete data or code files. Never.** Use legacy/ folder for originals. Copy, don't move.
> Establish safety rules and structures before Claude makes changes to research projects.
## Purpose
Based on Scott Cunningham's workflow: prevent accidental data loss by establishing rules and using legacy folders before Claude reorganizes or modifies project files.
## When to Use
- Starting a new research project folder
- Before asking Claude to reorganize files
- When Claude will be running code or modifying data
- Setting up a project for collaborative work
---
## Safety Rules Template
Add this to any project's CLAUDE.md file:
```markdown
## Safety Rules
1. **Never delete data files** — No .csv, .dta, .xlsx, .parquet, or any data format
2. **Never delete code files** — No .py, .R, .do, .tex, .md or scripts
3. **Use legacy/ folder** — If reorganizing, move originals to legacy/ first
4. **Copy from legacy, don't move** — Always preserve the original
### If you need to reorganize:
1. Create a legacy/ folder if it doesn't exist
2. Move ALL original files into legacy/
3. Copy (not move) needed files into new structure
4. Never modify anything in legacy/
```
---
## Directory Structure
After safety setup:
```
project/
├── CLAUDE.md ← Safety rules + project context
├── README.md ← Project documentation
├── legacy/ ← PROTECTED: original files
│ └── [all originals]
├── code/
│ ├── R/
│ ├── python/
│ └── stata/
├── data/
│ ├── raw/ ← Copied from legacy, never modified
│ └── processed/
├── output/
│ ├── figures/
│ └── tables/
├── docs/
│ └── manuscript/
└── log/ ← Progress logs
```
---
## Dry Run Pattern
Before Claude executes potentially destructive operations, ask for a preview:
> "Tell me what commands you would run to reorganize this folder, but don't execute them yet."
> "Show me what files would be affected by this change before you make it."
> "Walk me through your plan for cleaning this data before you run any code."
**When to use dry runs:**
- File operations (move, delete, rename)
- Git operations (reset, clean, force push)
- Database operations
- Batch processing
- Any operation affecting multiple files
**After reviewing:**
- If correct: "Go ahead"
- If wrong: "Wait — don't do X, instead Y"
---
## Workflow
1. **Create CLAUDE.md** with safety rules
2. **Create legacy/ folder**
3. **Move all originals to legacy/**
4. **Copy needed files** into new structure
5. **Verify** legacy/ contains everything
6. **Proceed** with project work
---
## Prompt Template
```
I'm starting work on [PROJECT]. Before we do anything:
1. Create a CLAUDE.md with safety rules (never delete data/code, use legacy folder)
2. Create a legacy/ folder
3. Move all existing files into legacy/
4. Show me the proposed new directory structure before creating it
Do a dry run first — tell me what you would do before doing it.
```
---
## Why This Matters
- Claude operates at speed — mistakes happen fast
- You can't always verify what Claude will do before it does it
- Version control (git, Dropbox) helps but prevention is better
- The legacy/ folder is your safety net
- Dry runs give you a chance to catch mistakes
---
## Example Use
"Set up my new Carbon Markets project with proper safety rules. Create the CLAUDE.md, legacy folder, and recommended directory structure. Show me your plan before executing."