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Python Code Quality Analysis Tool - feed the results from 11 CQ tools straight into an LLM. Minimal tokens.

Project description

CQ - Python Code Quality Analysis Tool

CI codecov PyPI version Python versions License

Run 11+ code quality tools, aggregate results into one score, and surface the single most critical defect as a focused markdown prompt — ready to pipe to any LLM.

This can dramatically reduce the amount of noise for LLMs (and humans) and remove the need for them to know about these tools.

Note: It never edits your files. This is a job for you or an LLM. You may wish to run ruff check --fix and ruff format first.

cq check . -o llm     # top defect as markdown, pipe to an LLM
cq check .            # table overview of all scores
cq check . -o score   # numeric score only, exits 1 on errors (CI gate)

cq demo

Install

# install the `cq` command line tool from PyPi
uv tool install python-code-quality

# or, clone it then install 
git clone https://github.com/rhiza-fr/py-cq.git
cd py-cq
uv tool install .

Tools

These tools are run in parallel except: When running '-o llm', we run sequentially and exit early at the first error.

Order Tool Measures
1 compileall Syntax errors
2 ruff Lint / style
3 ty Type errors
4 bandit Security vulnerabilities
5 pytest Test pass rate
6 coverage Test coverage
7 radon cc Cyclomatic complexity
8 radon mi Maintainability index
9 radon hal Halstead volume / bug estimate
10 vulture Dead code
11 interrogate Docstring coverage

Diskcache is used to cache tool output for lightning fast re-runs. Sane defaults: <100 Mb, <5 days, No pickle risk.

Usage

cq check .                 # Table overview of scores for humans
cq check . -o llm          # Top defect as markdown for LLMs
cq check . -o score        # Numeric score only for CI
cq check . -o json         # Detailed parsed JSON output for jq
cq check . -o raw          # Raw tool output for debug
cq check path/to/file.py   # Just one file (skips pytest and coverage)
cq check . --only ruff,ty  # Run only specific tools
cq check . --skip bandit   # Skip specific tools
cq check . --exclude demo  # Exclude paths from all tools
cq check . --workers 1     # Run sequentially if you like things slow
cq check . --clear-cache   # Clear cached results before running (rarely needed)
cq config path/to/project/ # Show effective tool configuration

Exit codes: cq check exits with code 1 if any tool metric falls below its error_threshold, making it suitable as a CI gate:

cq check . && deploy        # block deploy on errors
cq check . -o score         # print score, exit 1 on errors

Claude Code Integration

Add a stop hook to your project's .claude/settings.json so Claude automatically checks quality after each session and loops until clean:

{
  "hooks": {
    "Stop": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "cq check . -o score && echo 'CQ: all clear' || cq check . -o llm; true"
          }
        ]
      }
    ]
  }
}

When the score passes, Claude sees CQ: all clear (~5 tokens). When it fails, Claude receives the targeted fix prompt and continues working. This automates the cq check . -o llm | claude -p "fix this" loop.

Note: Use project-level .claude/settings.json, not global settings — this hook only makes sense in Python projects.

As a slash command (skill)

For manual invocation, create .claude/commands/cq-fix.md:

$(cq check . -o llm)

Then invoke it with /cq-fix in Claude Code. The $(...) embeds the live cq output directly into the prompt before Claude starts, so it sees the issue immediately without an extra tool call.

Hook vs skill:

  • Stop hook — automatic, runs after every session, best for unattended loops
  • Skill — manual /cq-fix, gives you explicit control over when to check

Table output

> cq check .
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓
 Tool                  Time                     Metric  Score    Status   
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩
 compile              0.42s                    compile  1.000    OK       
 ruff                 0.17s                       lint  1.000    OK       
 ty                   0.33s                 type_check  1.000    OK       
 bandit               0.56s                   security  1.000    OK       
 pytest               0.91s                      tests  1.000    OK       
 coverage             1.26s                   coverage  0.910    OK       
 radon cc             0.32s                 simplicity  0.982    OK       
 radon mi             0.38s            maintainability  0.869    OK       
 radon hal            0.30s              file_bug_free  0.928    OK       
 radon hal                              file_smallness  0.851    OK       
 radon hal                          functions_bug_free  0.913    OK       
 radon hal                         functions_smallness  0.724    OK       
 vulture              0.32s                  dead_code  1.000    OK       
 interrogate          0.36s               doc_coverage  1.000    OK       
                                                 Score  0.965             
└──────────────────┴──────────┴───────────────────────────┴─────────┴──────────┘

Single score output

> cq check . -o score
0.9662730667181059 # this is designed to approach but not reach 1.0

Json output

> cq check . -o json
[
  {
    "tool_name": "compile",
    "metrics": {
      "compile": 1.0
    },
    "details": {},
    "duration_s": 0.05611889995634556
  }
  ...
]

Raw output

> cq check . -o raw
[
  {
    "tool_name": "compile",
    "command": "D:\\ai\\py-cq\\.venv\\Scripts\\python.exe -m compileall -r 10 -j 8 . -x .*venv",
    "stdout": "",
    "stderr": "",
    "return_code": 0,
    "timestamp": "2026-02-20 10:01:22"
  }
  ...
]

Both json and raw output pipe cleanly to jq:

# Get the coverage section
cq check . -o raw | jq '.[] | select(.tool_name == "coverage")'

# Get parsed coverage metrics only
cq check . -o json | jq '.[] | select(.tool_name == "coverage") | .metrics'

Configuration

Add a [tool.cq] section to your project's pyproject.toml:

[tool.cq]
# Skip tools that are slow or not relevant to your project
disable = ["coverage", "interrogate"]

# Exclude paths from all tools (merged with --exclude CLI flag)
exclude = ["demo", "docs"]

# Lines of source context shown around each defect in LLM output (default: 15)
context_lines = 15

# Override warning/error thresholds per tool
[tool.cq.thresholds.coverage]
warning = 0.9
error = 0.7

Tool IDs match the keys in config/config.yaml: compile, ruff, ty, bandit, pytest, coverage, radon-cc, radon-mi, radon-hal, vulture, interrogate.

Default config

python:

  compile:
    command: "{python} -m compileall -r 10 -j 8 \"{context_path}\" -x .*venv"
    parser: "CompileParser"
    order: 1
    warning_threshold: 0.9999
    error_threshold: 0.9999

  ruff:
    command: "{python} -m ruff check --output-format concise --no-cache \"{context_path}\"{exclude}"
    exclude_format: " --exclude {path}"
    parser: "RuffParser"
    order: 2
    warning_threshold: 0.9999
    error_threshold: 0.9

  ty:
    command: "{python} -m ty check --output-format concise --color never \"{context_path}\"{exclude}"
    exclude_format: " --exclude {path}"
    parser: "TyParser"
    order: 3
    warning_threshold: 0.9999
    error_threshold: 0.8
    run_in_target_env: true
    extra_deps:
      - ty

  bandit:
    command: "{python} -m bandit -r \"{context_path}\" -f json -q -s B101 --severity-level medium --exclude \"{input_path_posix}/.venv,{input_path_posix}/tests{exclude}\""
    exclude_format: ",{input_path_posix}/{path}"
    parser: "BanditParser"
    order: 4
    warning_threshold: 0.9999
    error_threshold: 0.8

  pytest:
    command: "{python} -m pytest -v \"{context_path}\"{exclude}"
    exclude_format: " --ignore {path}"
    parser: "PytestParser"
    order: 5
    warning_threshold: 1.0
    error_threshold: 1.0
    run_in_target_env: true
    extra_deps:
      - pytest

  coverage:
    command: "{python} -m coverage run --omit=*/tests/*,*/test_*.py -m pytest \"{context_path}\" && {python} -m coverage report --omit=*/tests/*,*/test_*.py"
    parser: "CoverageParser"
    order: 6
    warning_threshold: 0.9
    error_threshold: 0.5
    run_in_target_env: true
    extra_deps:
      - coverage
      - pytest

  radon-cc:
    command: "{python} -m radon cc --json \"{context_path}\""
    parser: "ComplexityParser"
    order: 7
    warning_threshold: 0.6
    error_threshold: 0.4

  radon-mi:
    command: "{python} -m radon mi -s --json \"{context_path}\""
    parser: "MaintainabilityParser"
    order: 8
    warning_threshold: 0.6
    error_threshold: 0.4

  radon-hal:
    command: "{python} -m radon hal -f --json \"{context_path}\""
    parser: "HalsteadParser"
    order: 9
    warning_threshold: 0.5
    error_threshold: 0.3

  vulture:
    command: "{python} -m vulture \"{context_path}\" --min-confidence 80 --exclude .venv,dist,.*_cache,docs,.git{exclude}"
    exclude_format: ",{path}"
    parser: "VultureParser"
    order: 10
    warning_threshold: 0.9999
    error_threshold: 0.8

  interrogate:
    command: "{python} -m interrogate \"{context_path}\" -e tests{exclude} -v --fail-under 0"
    exclude_format: " -e {path}"
    parser: "InterrogateParser"
    order: 11
    warning_threshold: 0.8
    error_threshold: 0.3

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