AST-based linter enforcing SciTeX reproducible research patterns
Project description
SciTeX Linter
scitex.ai · docs · pip install scitex-linter
AST-based Python linter enforcing SciTeX reproducible research patterns.
Part of the SciTeX ecosystem — guides both human researchers and AI agents toward reproducible science.
Why SciTeX Linter?
SciTeX scripts follow strict patterns for reproducibility: @stx.session decorators, stx.io for provenance-tracked I/O, stx.stats for complete statistical reporting, and relative paths for portability. SciTeX Linter enforces these patterns at the AST level — catching issues before they become irreproducible results.
Quick Start
pip install scitex-linter
# Lint a file
scitex-linter check script.py
# Lint then execute
scitex-linter python experiment.py --strict
# List all 35 rules
scitex-linter rule
Five Interfaces
| Interface | For | Description |
|---|---|---|
| 🖥️ CLI | Terminal users | scitex-linter check, scitex-linter python |
| ✨ Format | Auto-fix | scitex-linter format — auto-fix SciTeX issues |
| 🐍 Python API | Programmatic use | from scitex_linter.checker import lint_file |
| 🔌 flake8 Plugin | CI pipelines | flake8 --select STX |
| 🔧 MCP Server | AI agents | 3 tools for Claude/GPT integration |
🖥️ CLI Commands
scitex-linter --help # Show all commands
scitex-linter --help-recursive # Show help for all subcommands
# Check - Check for SciTeX pattern violations
scitex-linter check script.py # Check a file
scitex-linter check ./src/ # Check a directory
scitex-linter check script.py --severity error # Only errors
scitex-linter check script.py --category path # Only path rules
scitex-linter check script.py --json # JSON output for CI
# Format - Auto-fix SciTeX pattern issues
scitex-linter format script.py # Fix in place
scitex-linter format script.py --check # Dry run (exit 1 if changes needed)
scitex-linter format script.py --diff # Show diff of changes
scitex-linter format ./src/ # Format a directory
# Python - Lint then execute
scitex-linter python experiment.py # Lint and run
scitex-linter python experiment.py --strict # Abort on errors
scitex-linter python experiment.py -- --lr 0.001 # Pass script args
# Rules - Browse available rules
scitex-linter rule # List all 35 rules
scitex-linter rule --category stats # Filter by category
scitex-linter rule --json # JSON output
# MCP - AI agent server
scitex-linter mcp start # Start MCP server (stdio)
scitex-linter mcp list-tools # List MCP tools
🐍 Python API
from scitex_linter.checker import lint_file
from scitex_linter.formatter import format_issue
# Lint a file
issues = lint_file("script.py")
for issue in issues:
print(format_issue(issue, "script.py"))
# Check source code directly
from scitex_linter.checker import lint_source
issues = lint_source("import argparse\npass\n")
🔌 flake8 Plugin
SciTeX Linter registers as a flake8 plugin with the STX prefix:
flake8 --select STX script.py
flake8 --select STX ./src/ --format=json
Integrates with existing flake8 workflows, pre-commit hooks, and CI pipelines.
🔧 MCP Server — 3 Tools for AI Agents
| Tool | Description |
|---|---|
linter_check |
Check a Python file for SciTeX compliance |
linter_list_rules |
List all available rules |
linter_check_source |
Lint source code string |
Claude Desktop (~/.config/Claude/claude_desktop_config.json):
{
"mcpServers": {
"scitex-linter": {
"command": "scitex-linter",
"args": ["mcp", "start"]
}
}
}
Install MCP extra: pip install scitex-linter[mcp]
35 Rules Across 7 Categories
| Category | Rules | Severity | What It Enforces |
|---|---|---|---|
| S Structure | 5 | error/warning | @stx.session, __main__ guard, no argparse |
| I Import | 7 | warning/info | Use stx.plt, stx.stats, stx.io instead of raw libs |
| IO I/O Calls | 7 | warning | Use stx.io.save()/stx.io.load() for provenance |
| P Plot | 5 | info | Use stx.plt tracked methods, logger over print() |
| ST Stats | 6 | warning | Use stx.stats for auto effect size + CI + power |
| PA Path | 5 | warning/info | Relative paths with ./, no open(), no os.chdir() |
Example Output
script.py:1 STX-S003 [error] argparse detected — @stx.session auto-generates CLI
Suggestion: Remove `import argparse` and define parameters as function arguments:
@stx.session
def main(data_path: str, threshold: float = 0.5):
# Auto-generates: --data-path, --threshold
script.py:5 STX-PA001 [warning] Absolute path in `stx.io` call — use relative paths
Suggestion: Use `stx.io.save(obj, './relative/path.ext')` — paths resolve to script_out/.
script.py: 2 issues (1 error, 1 warning)
Claude Code Hook
SciTeX Linter works as a post-tool-use hook for Claude Code, automatically linting every Python file Claude writes or edits:
# In ~/.claude/to_claude/hooks/post-tool-use/run_lint.sh
# Errors (exit 2) → Claude must fix
# Warnings (exit 1) → Claude sees feedback
This ensures AI-generated code follows SciTeX patterns from the start.
Configuration
Configure via pyproject.toml or environment variables
[tool.scitex-linter]
severity = "info" # Minimum severity: error, warning, info
disable = ["STX-P004", "STX-I003"] # Disable specific rules
exclude-dirs = ["venv", ".venv"] # Directories to skip
library-dirs = ["src"] # Exempt from script-only rules
[tool.scitex-linter.per-rule-severity]
STX-S003 = "warning" # Downgrade argparse rule
[tool.scitex-linter.session]
required-injected = ["CONFIG", "plt", "COLORS", "rngg", "logger"]
Environment variables (highest priority):
SCITEX_LINTER_SEVERITY=error
SCITEX_LINTER_DISABLE=STX-P004,STX-I003
Priority: CLI flags > env vars > pyproject.toml > defaults
What a Clean Script Looks Like
import scitex as stx
@stx.session
def main(data_path="./data.csv", threshold=0.5):
df = stx.io.load(data_path)
results = stx.stats.ttest_ind(df["group_a"], df["group_b"])
stx.io.save(results, "./results.csv")
return 0
if __name__ == "__main__":
main()
Zero lint issues. Fully reproducible. Auto-CLI from function signature.
Documentation
📚 Full Documentation on Read the Docs
Project details
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