Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/zircote/python-lsp/setupgit clone --depth 1 https://github.com/zircote/python-lspWhat 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 | $0.00008 | $0.00554 |
| Opus 5 | $0.00004 | $0.00277 |
| Sonnet 5 | $0.00002 | $0.00111 |
| Haiku 4.5 | $0.00001 | $0.00055 |
Grade A, and why
setup 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 yesterday.
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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python LSP Setup
This command will configure your Python development environment with Pyright LSP and essential tools.
Prerequisites Check
First, verify Python is installed:
python --version || python3 --version
Installation Steps
1. Install Pyright LSP Server
npm install -g pyright
Or with pip:
pip install pyright
2. Install Python Development Tools
Quick install (all recommended tools):
pip install ruff black isort mypy bandit pytest pip-audit
Or install individually:
# Linting & Formatting
pip install ruff # Fast linter and formatter
pip install black # Code formatter
pip install isort # Import sorter
# Type Checking
pip install mypy # Static type checker
# Security
pip install bandit # Security linter
pip install pip-audit # Dependency auditor
# Testing
pip install pytest # Testing framework
3. Verify Installation
# Check Pyright
pyright --version
# Check Ruff
ruff --version
# Check Black
black --version
# Check Mypy
mypy --version
4. Create Project Configuration (Optional)
pyproject.toml:
[tool.pyright]
pythonVersion = "3.11"
typeCheckingMode = "standard"
[tool.ruff]
line-length = 88
target-version = "py311"
[tool.black]
line-length = 88
target-version = ['py311']
[tool.isort]
profile = "black"
5. Enable LSP in Claude Code
export ENABLE_LSP_TOOL=1
Verification
Test the LSP integration:
# Create a test file
echo 'def greet(name: str) -> str: return f"Hello, {name}"' > test_lsp.py
# Run type check
pyright test_lsp.py
# Clean up
rm test_lsp.py
Troubleshooting
Pyright not finding Python
Set the Python path in pyrightconfig.json:
{
"pythonVersion": "3.11",
"venvPath": ".",
"venv": ".venv"
}
Virtual environment issues
Ensure your virtual environment is activated before running Claude Code:
source .venv/bin/activate
claude
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.
- yesterday First seen · 138 lines · 8 tokens per session scan A 73afe6a8bbd7
setup is a command published in the GitHub repository zircote/python-lsp (3 stars, last pushed 22d ago), licensed MIT. It adds 8 tokens to every session and 554 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
review-agentready
AgentReady-specific code review with attribute mapping and score impact analysis.
setup
Interactive setup for C/C++ LSP development environment.
setup
Interactive setup for YAML LSP development environment.
setup
Interactive setup for Bash LSP development environment.
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Interactive setup for Scala LSP development environment.
setup
Interactive setup for JSON LSP development environment.