ctxray

See how you really use AI.

X-ray your AI coding sessions across Claude Code, Cursor, ChatGPT, and 6 more tools. Discover your patterns, find wasted tokens, catch leaked secrets — all locally, nothing leaves your machine.

Quick start

pip install ctxray

ctxray scan                    # discover prompts from your AI tools
ctxray wrapped                 # your AI coding persona + shareable card
ctxray insights                # your patterns vs research-optimal
ctxray privacy                 # what sensitive data you've exposed

Works in your pipeline

Drop ctxray into your CI as a prompt quality gate. No LLM, no API key, no network — <50ms per prompt.

# .github/workflows/prompt-quality.yml
- uses: ctxray/ctxray@main
  with:
    score-threshold: 50
    comment-on-pr: true

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/ctxray/ctxray
    rev: v3.0.0
    hooks:
      - id: ctxray-lint

• Deterministic — same prompt, same score, every run. No flaky LLM-based checks.
• Air-gapped — runs in offline and private networks. All analysis stays on your infrastructure.
• Configurable — .ctxray.toml or [tool.ctxray.lint] in pyproject.toml. Per-project rules.

Full setup: GitHub Action · pre-commit · .ctxray.toml

What you'll discover

Your AI coding persona

ctxray wrapped generates a Spotify Wrapped-style report of your AI interactions — your persona (Debugger? Architect? Explorer?), top patterns, and a shareable card.

Your prompt patterns

ctxray insights compares your actual prompting habits against research-backed benchmarks. Are your prompts specific enough? Do you front-load instructions? How much context do you provide?

Your privacy exposure

ctxray privacy --deep scans every prompt you've sent for API keys, tokens, passwords, and PII. See exactly what you've shared with which AI tool.

Full prompt diagnostic

ctxray check "your prompt" scores, lints, and rewrites in one command — no LLM, <50ms.

More screenshots

ctxray rewrite — rule-based prompt improvement

ctxray build — assemble prompts from components

What a bad prompt looks like

All commands

Discover your patterns

Optimize your prompts

Manage

Supported AI tools

Installation

pip install ctxray              # core (all features, zero config)
pip install ctxray[chinese]     # + Chinese prompt analysis (jieba)
pip install ctxray[mcp]         # + MCP server for Claude Code / Continue.dev / Zed

Auto-scan after every session

ctxray install-hook             # adds post-session hook to Claude Code

Browser extension

Capture prompts from ChatGPT, Claude.ai, and Gemini directly in your browser. Live quality badge shows prompt tier as you type — click "Rewrite & Apply" to improve and replace the text directly in the input box.

1. Install the extension from Chrome Web Store or Firefox Add-ons
2. Connect to the CLI: ctxray install-extension
3. Verify: ctxray extension-status

Captured prompts sync locally via Native Messaging — nothing leaves your machine.

CI integration

GitHub Action

# .github/workflows/prompt-lint.yml
name: Prompt Quality
on: pull_request

jobs:
  lint:
    runs-on: ubuntu-latest
    permissions:
      pull-requests: write
    steps:
      - uses: actions/checkout@v4
      - uses: ctxray/ctxray@main
        with:
          score-threshold: 50
          strict: true
          comment-on-pr: true

pre-commit

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/ctxray/ctxray
    rev: v3.0.0
    hooks:
      - id: ctxray-lint

Direct CLI

ctxray lint --score-threshold 50  # exit 1 if avg score < 50
ctxray lint --strict              # exit 1 on warnings
ctxray lint --json                # machine-readable output

Project configuration

ctxray init   # generates .ctxray.toml with all rules documented

# .ctxray.toml (or [tool.ctxray.lint] in pyproject.toml)
[lint]
score-threshold = 50

[lint.rules]
min-length = 20
short-prompt = 40
vague-prompt = true
debug-needs-reference = true

 Data sources:
 ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
 │Claude Code│ │  Cursor  │ │  Aider   │ │ ChatGPT  │ │ 5 more.. │
 └─────┬────┘ └─────┬────┘ └─────┬────┘ └─────┬────┘ └─────┬────┘
       └─────────────┴───────────┴─────────────┴─────────────┘
                                 │
                    scan -> dedup -> store -> analyze
                                 │
              ┌──────────────────┼──────────────────┐
              v                  v                  v
        ┌──────────┐     ┌──────────────┐    ┌──────────┐
        │ insights │     │  patterns    │    │ sessions │
        │ wrapped  │     │  repetition  │    │ projects │
        │ style    │     │  privacy     │    │ agent    │
        └──────────┘     └──────────────┘    └──────────┘

Why ctxray?

After Promptfoo joined OpenAI and Humanloop joined Anthropic, ctxray is the independent, open-source alternative for understanding your AI interactions.

• 100% local — your prompts never leave your machine
• No LLM required — pure rule-based analysis, <50ms per prompt
• 9 AI tools — the only tool that works across Claude Code, Cursor, ChatGPT, and more
• Research-backed — calibrated against 10 peer-reviewed papers, not vibes

Previously published as reprompt-cli. Same tool, new name, clean namespace.

Privacy

• All analysis runs locally. No prompts leave your machine.
• ctxray privacy shows exactly what you've sent to which AI tool.
• Optional telemetry sends only anonymous feature vectors — never prompt text.
• Open source: audit exactly what's collected.

Links

• PyPI: ctxray
• Chrome Extension: Chrome Web Store
• Firefox Add-on: Firefox Add-ons
• Changelog: CHANGELOG.md

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT