pandas-coder

pandas-coder is a skill for Claude Code from majesticlabs-dev/majestic-marketplace. It costs 21 tokens per session (2,143 once invoked), scanned A, original, no licence file.

Pandas coding patterns for working with DataFrames, the table-like data structures used by the pandas Python library.

In plain words
What is it for?
Use it to manipulate large DataFrames, optimize memory use, and apply vectorized operations across columns.
Why use it?
It helps process data in smaller chunks, use less memory, and avoid slow row-by-row operations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the majestic-data plugin — 19 skills shipped together

Good fit Use it to manipulate large DataFrames, optimize memory use, and apply vectorized operations across columns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/majesticlabs-dev/majestic-marketplace/pandas-coder
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 majesticlabs-dev/majestic-marketplace --skill pandas-coder
Clone the repo
git clone --depth 1 https://github.com/majesticlabs-dev/majestic-marketplace

Made for: Claude Code.

Or install majestic-data, the plugin that ships this one along with the rest of its 19 skills.

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.

agentmods badge for pandas-coder

README.md
[![agentmods](https://agentmods.dev/badge/skills/majesticlabs-dev/majestic-marketplace/pandas-coder/github.svg)](https://agentmods.dev/skills/majesticlabs-dev/majestic-marketplace/pandas-coder)
Your own site
<a href="https://agentmods.dev/skills/majesticlabs-dev/majestic-marketplace/pandas-coder"><img src="https://agentmods.dev/badge/skills/majesticlabs-dev/majestic-marketplace/pandas-coder/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.

agentmods 80×15 button for pandas-coder

Your own site · 80×15
<a href="https://agentmods.dev/skills/majesticlabs-dev/majestic-marketplace/pandas-coder"><img src="https://agentmods.dev/badge/skills/majesticlabs-dev/majestic-marketplace/pandas-coder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,143 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 unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.02143
Opus 5 $0.00010 $0.01071
Sonnet 5 $0.00004 $0.00429
Haiku 4.5 $0.00002 $0.00214

Measured 12d ago against content hash 86075012293e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pandas-coder 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 12d 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.

plugins/majestic-data/skills/pandas-coder/SKILL.md · 317 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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.

  1. 12d ago First seen · 317 lines · 21 tokens per session scan A 86075012293e

Subscribe to this mod's changes

pandas-coder is a skill published in the GitHub repository majesticlabs-dev/majestic-marketplace (50 stars, last pushed yesterday), with no licence file. It adds 21 tokens to every session and 2,143 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

accelerate

Run PyTorch training across GPUs with minimal changes.

NousResearch/hermes-agent · 13 tokens

optimize-for-gpu

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS…

K-Dense-AI/scientific-agent-skills · 151 tokens

marimo-pair

Work inside the user's live marimo notebook from the code editor: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes through code mode. Use whenever you create, analyze, or improve the user's marimo notebook.

marimo-team/marimo · 57 tokens

minicpm5-deploy-transformers

Run MiniCPM5-1B or MiniCPM5-2B with Hugging Face Transformers for one-shot Python generation on GPU (bfloat16) or CPU (float32). Use when the user wants a quick Python script, no server, no extra deps, or asks for "Transformers", "AutoModelForCausalLM", "model.generate" with MiniCPM5.

OpenBMB/MiniCPM · 90 tokens

azure-mgmt-fabric-py

Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources. Triggers: "azure-mgmt-fabric", "FabricMgmtClient", "Fabric capacity", "Microsoft Fabric", "Power BI capacity".

microsoft/skills · 51 tokens

ax-python-llm

Use when writing Python code with axllm for using the generated Ax package, factory functions, package docs, examples, and API reference.

ax-llm/ax · 36 tokens