re:prompt

Analyze what you type into AI tools -- prompt scoring, agent error loops, leaked credential detection, conversation distillation.

---

See it in action

$ pip install reprompt-cli
$ reprompt
  ╭─ Prompt Dashboard ─────────────────────────────────────────╮
  │  Prompts: 1,063 (295 unique)   Sessions: 890              │
  │  Avg Score: 68/100             Top: debug (31%), impl (24%)│
  │  Sources: claude-code, cursor, chatgpt                     │
  ╰────────────────────────────────────────────────────────────╯

$ reprompt score "Fix the auth bug in src/login.ts where JWT expires"
  Score: 40/100  (Fair)
  Structure: 0/25 | Context: 8/25 | Position: 20/20 | Repetition: 0/15 | Clarity: 12/15
  Tip: Include the error message -- debug prompts with errors are 3.7x more effective

$ reprompt distill --last 3 --summary
  Session: feature-dev (42 turns, 18 important)
  Key moments: initial spec → auth module → test failures → JWT fix → passing
  Context: "Building auth system with JWT refresh tokens for Express API"

$ reprompt compress "I was wondering if you could please help me refactor this code. Basically what I need is to split this function into smaller helpers and add error handling."
  Before: 28 tokens → After: 14 tokens (50% saved)
  "Help me refactor this code. Split this function into smaller helpers and add error handling."

What it does

Analyze

Command	Description
reprompt	Instant dashboard -- prompts, sessions, avg score, top categories
reprompt scan	Auto-discover prompts from 9 AI tools
reprompt score "prompt"	Research-backed 0-100 scoring with 30+ features
reprompt compare "a" "b"	Side-by-side prompt analysis (or --best-worst for auto-selection)
reprompt insights	Personal patterns vs research-optimal benchmarks
reprompt style	Prompting fingerprint with --trends for evolution tracking
reprompt agent	Agent workflow analysis -- error loops, tool patterns, session efficiency

Optimize

Command	Description
reprompt compress "prompt"	4-layer prompt compression (40-60% token savings typical)
reprompt distill	Extract important turns from conversations with 6-signal scoring
reprompt distill --export	Recover context when a session runs out -- paste into new session
reprompt lint	Prompt quality linter with GitHub Action support

Manage

Command	Description
reprompt privacy	See what data you sent where -- file paths, errors, PII exposure
reprompt privacy --deep	Scan for sensitive content: API keys, tokens, passwords, PII
reprompt report	Full analytics: hot phrases, clusters, patterns (--html for dashboard)
reprompt digest	Weekly summary comparing current vs previous period
reprompt wrapped	Prompt DNA report -- persona, scores, shareable card
reprompt template save|list|use	Save and reuse your best prompts

Prompt Science

Scoring is calibrated against 4 research papers covering 30+ features across 5 dimensions:

Dimension	What it measures	Paper
Structure	Markdown, code blocks, explicit constraints	Prompt Report 2406.06608
Context	File paths, error messages, technical specificity	Google 2512.14982
Position	Instruction placement relative to context	Stanford 2307.03172
Repetition	Redundancy that degrades model attention	Google 2512.14982
Clarity	Readability, sentence length, ambiguity	SPELL (EMNLP 2023)

All analysis runs locally in <1ms per prompt. No LLM calls, no network requests.

Conversation Distillation

reprompt distill scores every turn in a conversation using 6 signals:

• Position -- first/last turns carry framing and conclusions
• Length -- substantial turns contain more information
• Tool trigger -- turns that cause tool calls are action-driving
• Error recovery -- turns that follow errors show problem-solving
• Semantic shift -- topic changes mark conversation boundaries
• Uniqueness -- novel phrasing vs repetitive follow-ups

Session type (debugging, feature-dev, exploration, refactoring) is auto-detected and signal weights adapt accordingly.

Supported AI tools

Tool	Format	Auto-discovered by scan
Claude Code	JSONL	Yes
Codex CLI	JSONL	Yes
Cursor	.vscdb	Yes
Aider	Markdown	Yes
Gemini CLI	JSON	Yes
Cline (VS Code)	JSON	Yes
OpenClaw / OpenCode	JSON	Yes
ChatGPT	JSON	Via reprompt import
Claude.ai	JSON/ZIP	Via reprompt import

Installation

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

Quick start

reprompt scan                       # discover prompts from installed AI tools
reprompt                            # see your dashboard
reprompt score "your prompt here"   # score any prompt instantly
reprompt distill --last 1           # distill your most recent conversation

Auto-scan after every session

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

Browser extension

Capture prompts from ChatGPT, Claude.ai, and Gemini directly in your browser:

1. Install the extension from Chrome Web Store
2. Connect to the CLI: reprompt install-extension
3. Verify: reprompt extension-status

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

CI integration

GitHub Action

# .github/workflows/prompt-lint.yml
- uses: reprompt-dev/reprompt@main
  with:
    score-threshold: 50   # fail if avg prompt score < 50
    strict: true          # fail on warnings too

pre-commit

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/reprompt-dev/reprompt
    rev: v1.6.1
    hooks:
      - id: reprompt-lint

Direct CLI

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

Privacy

• All analysis runs locally. No prompts leave your machine.
• reprompt privacy shows exactly what you've sent to which AI tool.
• Optional telemetry sends only anonymous 26-dimension feature vectors -- never prompt text.
• Open source: audit exactly what's collected.

Privacy policy

Links

• Website: getreprompt.dev
• Chrome Extension: Chrome Web Store
• PyPI: reprompt-cli
• Changelog: CHANGELOG.md
• Privacy: getreprompt.dev/privacy

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT