PyGWalker is a Python library that turns a pandas dataframe into an interactive interface for exploring, cleaning, annotating, and visualizing data. It is used in Jupyter Notebook by people who want drag-and-drop data analysis or natural-language queries instead of writing every visualization manually.
Borrowing it
Nothing to install: this file belongs to Kanaries/pygwalker. 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/Kanaries/pygwalker/main/CLAUDE.mdgit clone --depth 1 https://github.com/Kanaries/pygwalkerWrote 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/kanaries/pygwalker/claude-md)<a href="https://agentmods.dev/instructions/kanaries/pygwalker/claude-md"><img src="https://agentmods.dev/badge/instructions/kanaries/pygwalker/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/kanaries/pygwalker/claude-md"><img src="https://agentmods.dev/badge/instructions/kanaries/pygwalker/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 | $0.00365 | $0.00365 |
| Opus 5.5 | $0.00146 | $0.00146 |
| Sonnet 5.5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
pygwalker 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 2mo 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.
What it actually says
CLAUDE.md
This project's contributor & agent guide is maintained in AGENTS.md — a single source of truth for the architecture, dev-mode workflow, and log locations. Read it before making changes.
@AGENTS.md
TL;DR for a coding agent
- Setup:
python -m venv venv && source venv/bin/activate && pip install -e ".[dev]", thencd app && yarn install && yarn build. - Run everything in dev mode with live reload + centralized logs:
python scripts/dev.py(starts the frontend watch build + JupyterLab withPYGWALKER_DEV=1/ANYWIDGET_HMR=1). Pass--no-browserfor headless runs. - Logs:
logs/frontend.log(build/watch),logs/jupyter.log(server URL + token),logs/pygwalker.log(kernel-side Python logs). Frontend runtime logs are in the browser console. - In a notebook: just
import pygwalker as pyg; pyg.walk(df)— no special setup; edits underapp/src/hot-reload into the widget. - Before pushing:
python scripts/local_ci.py(or, narrower,yarn typecheck+yarn buildinapp/, andruff check/ruff format --check/pytestfrom the root). - Don't: commit
pygwalker/templates/dist/, hand-editapp/src/interfaces/comm.generated.ts, or rely onPYGWALKER_DEV/ANYWIDGET_HMRat runtime for end users.
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.
- 2mo ago First seen · 25 lines · 365 tokens per session scan A f8bf5f0137bc
pygwalker CLAUDE.md is an instructions file published in the GitHub repository Kanaries/pygwalker (16,003 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 365 tokens to every session, about $0.0015 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 2026-08-30.
pygwalker CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pygwalker CLAUDE.mdKanaries/pygwalker | Instructions file | 16k | 2mo ago | Apache-2.0 | A | 365 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |