Borrowing it
Nothing to install: this file belongs to paulrobello/par_gpt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/paulrobello/par_gpt/main/CLAUDE.mdgit clone --depth 1 https://github.com/paulrobello/par_gptWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/paulrobello/par_gpt/claude-md)<a href="https://agentmods.dev/instructions/paulrobello/par_gpt/claude-md"><img src="https://agentmods.dev/badge/instructions/paulrobello/par_gpt/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/paulrobello/par_gpt/claude-md"><img src="https://agentmods.dev/badge/instructions/paulrobello/par_gpt/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01557 | $0.01557 |
| Opus 5 | $0.00779 | $0.00779 |
| Sonnet 5 | $0.00311 | $0.00311 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
par_gpt CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
PAR GPT is a flexible command-line interface for interacting with multiple AI language models. It operates in two modes: basic LLM mode and Agent mode with dynamic tool loading. Built with Python 3.12 or higher (3.13 recommended) using UV package manager, Typer for CLI, and Rich for terminal output.
Development Commands
Setup and Environment
make setup # First-time setup with UV
make resetup # Recreate virtual environment from scratch
make depsupdate # Update all dependencies
Code Quality (Run Before Commits)
make checkall # Format, lint, typecheck, and run tests - REQUIRED before commits
make format # Format code with ruff
make lint # Lint code with ruff
make typecheck # Type check with pyright
make test # Run the pytest test suite (tests live in tests/)
make pre-commit # Run pre-commit hooks manually
Development Utilities
make sandbox # Start Docker code sandbox container
make clean # Clean build directories
make package # Build the package
Command Invocation Tips
- Instead of using
echo "prompt" | uv run par_gpt agentuseuv run par_gpt "prompt"
Development Patterns
Lazy Loading Architecture
PAR GPT uses a two-layer lazy loading system:
-
Generic Layer (
par_utils.LazyImportManager):- Thread-safe import caching
- Module and item-specific lazy loading
- Used directly in AI tools for simple imports
-
Application Layer (
par_gpt.lazy_import_manager.PARGPTLazyImportManager):- Extends the generic LazyImportManager
- Provides command-specific loading methods:
load_agent_imports()- For agent modeload_basic_llm_imports()- For LLM modeload_media_imports()- For image/TTS operations- And many more specialized loaders
- Used in CLI config and command infrastructure
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 206 lines · 1,557 tokens per session scan A 35d94c52d84b
par_gpt CLAUDE.md is an instructions file published in the GitHub repository paulrobello/par_gpt (11 stars, last pushed 6d ago), licensed MIT. It adds 1,557 tokens to every session, about $0.0078 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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