A Python code analysis tool that understands types, imports, definitions, and references across a project. It uses Pyright, a Python type checker, through a standard editor integration.

Use it to inspect Python type and import errors, jump to definitions, find references, view inferred types, and search project symbols.

It answers questions that text search cannot, such as whether a value has the right type, where a symbol is defined, and which code calls it.

python-lsp — Skill for Claude Code by MSApps-Mobile/claude-plugins

Install

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.

Any agent

npx skills add MSApps-Mobile/claude-plugins --skill python-lsp

Clone the repo

git clone --depth 1 https://github.com/MSApps-Mobile/claude-plugins

Made for: Claude Code.

Or install python-lsp, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/python-lsp/github.svg)](https://agentmods.dev/skills/msapps-mobile/claude-plugins/python-lsp)

Your own site

<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/python-lsp"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/python-lsp/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/python-lsp"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/python-lsp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,176 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00121	$0.01176
Opus 5.5	$0.00048	$0.00470
Sonnet 5.5	$0.00024	$0.00235
Haiku 4.5	$0.00012	$0.00118

Measured today against content hash 0087a04b1126, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-lsp 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 today.

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.

plugins/python-lsp/skills/python-lsp/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

python-lsp — Python code intelligence via Pyright

Part of the LSP plugin series. Wraps Pyright (pyright-langserver) as a read-only, SOSA Level 1 intelligence source.

Workflow Process

Plan

Confirm the user's question actually needs semantic info (type diagnostics, references, definitions, hover) vs a plain grep/glob.
Verify pyright-langserver --version works. If missing, run npm install -g pyright or pip install pyright.
Confirm the repo has a recognizable Python root: pyrightconfig.json, pyproject.toml, setup.py, setup.cfg, or a .git directory.

Act

Resolve the file path the user is asking about.
Use LSP via the plugin's .lsp.json wiring:
- textDocument/publishDiagnostics → type/import errors
- textDocument/definition → jump to definition
- textDocument/references → all call sites
- textDocument/hover → inferred type / docstring
- workspace/symbol → fuzzy symbol search
For cross-file impact (e.g. reviewing a change), iterate find-references over every public symbol in the touched file.
Treat Pyright answers as authoritative over heuristic search. If Pyright returns empty references, say so — don't invent them.

Verify

Cross-check one reported reference by opening the referenced file. If the symbol isn't really there, the Pyright index may be stale — report that.
If diagnostics include reportMissingImports for installed packages, the virtual environment isn't configured — check pyrightconfig.json venvPath/venv settings before trusting import counts.

Pyright startup notes

Incremental cache: Pyright writes .pyright/ to the workspace root. Safe to delete to force a full reindex. Subsequent runs are fast.
Virtual environments: Set venvPath + venv in pyrightconfig.json (or pythonPath for a specific interpreter) so Pyright resolves installed packages correctly.
Type checking modes: off → basic → standard → strict. The plugin sends basic via settings.python.analysis (a project pyrightconfig.json overrides it); upgrade to standard or strict for well-typed codebases where you want exhaustive checking.

Read the full file on GitHub · 110 lines

Changes

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.

today First seen · 110 lines · 121 tokens per session scan A 0087a04b1126

Subscribe to this mod's changes

python-lsp is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (10 stars, last pushed today), licensed MIT. It adds 121 tokens to every session and 1,176 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-18.

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