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Classify bash commands as READONLY, WRITE, DANGEROUS, or UNKNOWN

Project description

bash-classify

Classify bash commands by their side-effect risk level.

What it does

bash-classify parses bash expressions using tree-sitter, classifies each command against a database of 120+ known commands, and outputs a structured JSON verdict. Commands are classified into five levels: READONLY, LOCAL_EFFECTS, EXTERNAL_EFFECTS, DANGEROUS, and UNKNOWN.

Designed primarily as a Claude Code hook to automatically allow safe, read-only commands while flagging risky ones for human review.

Installation

uv tool install bash-classify
# or
pip install bash-classify

Quick start

$ echo 'kubectl get pods -n production' | bash-classify | jq '.classification'
"READONLY"

$ echo 'git push --force origin main' | bash-classify | jq '.classification'
"DANGEROUS"

$ echo 'cp file.txt /etc/config' | bash-classify | jq '.classification'
"DANGEROUS"

$ echo 'find . -name "*.pyc" -delete' | bash-classify | jq '.classification'
"DANGEROUS"

Claude Code plugin

The repo includes a Claude Code plugin that auto-allows readonly bash commands via a PreToolUse hook.

# Install the bash-classify CLI
uv tool install bash-classify

# Add the marketplace and install the plugin
claude plugin marketplace add fprochazka/bash-classify
claude plugin install bash-classify-hook@fprochazka-bash-classify

To upgrade after a new release:

uv tool upgrade bash-classify
claude plugin marketplace update fprochazka-bash-classify
claude plugin update bash-classify-hook@fprochazka-bash-classify

Once installed, any Bash tool call classified as READONLY is auto-approved — no permission prompt. Everything else (LOCAL_EFFECTS, EXTERNAL_EFFECTS, DANGEROUS, UNKNOWN) still requires confirmation.

Command database

The classification database includes 120+ command definitions covering common Unix utilities, package managers, container tools, cloud CLIs, and more.

Classification levels

Level Description Examples
READONLY No side effects, auto-approved ls, cat, grep, kubectl get
LOCAL_EFFECTS Modifies local files or state only git add, git commit, cp, mkdir, pytest
EXTERNAL_EFFECTS Interacts with external systems git push, kubectl apply, curl -d
DANGEROUS Destructive, system-wide, or irreversible rm -rf, git push --force, chmod
UNKNOWN Command not in database Any unrecognized command

How it works

  • Tree-sitter parsing -- bash expressions are parsed into an AST for accurate command extraction, handling pipes, subshells, and command substitution
  • YAML command database -- each command has classification rules with subcommand and option matching
  • Subcommand matching -- kubectl get and kubectl delete can have different classifications
  • Delegation for wrappers -- commands like xargs, sudo, and env delegate classification to the inner command

Python API

from bash_classify import classify_expression

result = classify_expression("kubectl get pods")
print(result.classification)  # Classification.READONLY

See SPEC.md for the full specification.

Development

git clone https://github.com/fprochazka/bash-classify.git
cd bash-classify
uv sync --dev

Run tests and linting before committing:

uv run ruff format .
uv run ruff check .
uv run pytest

To add or modify command definitions, see docs/classification-guidance.md. All YAML files in src/bash_classify/commands/ are validated against a JSON Schema — your IDE will provide autocomplete if it supports the # $schema: comment.

Releasing

Version is derived automatically from git tags via hatch-vcs — no manual version bumping needed.

Before tagging, bump the version in both plugin manifest files:

  • coding-agent-plugins/claude-code/.claude-plugin/plugin.json
  • .claude-plugin/marketplace.json

Wait for CI to pass on master, then tag, push, and create a GitHub release:

# Review changes since last release
git log $(git describe --tags --abbrev=0)..HEAD --oneline

git tag v<version>
git push origin v<version>
gh release create v<version> --title "v<version>" --notes "..."

The publish.yml GitHub Action builds and publishes to PyPI automatically via trusted publishing.

License

MIT

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