Star200+

Seaborn

STRONG · 84
Community indexed

Statistical data visualization in Python

Downloads0
Stars13.9K
Version1.0.0
Quality100/100 · Excellent
Trust84/100 · Review then install
Audit88/100 · Safe to try

Supply asset profile

Data, BI, and analytics

CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.

Browse track

Scenario

Data analysis

I need my agent to analyze CSV data, produce insights, and explain trends.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add mwaskom/seaborn

Maintenance

stable

6mo since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

14K

100/100 Quality · 87/100 Trust

Coverage tags

DataData analysisdata-analysisdata-visualizationanalytics

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
84

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
88

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonData VisualizationCodexClaude CodeCursor

Stars

14K GitHub stars

Repo activity

14K stars, 2.1K forks

Maintenance

6mo since push

License

BSD-3-Clause

Install

npx skills add mwaskom/seaborn

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Data analysis workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Load tabular data

Suited agents

PythonData VisualizationCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add mwaskom/seaborn
Policy
allow
Human review
no

Trust and risk

Trust
84/100
Audit
88/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add mwaskom/seaborn
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • No major trust warnings detected from available metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Alternative

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Agent safety v2

80/100 · Safe to install with normal review

Reviewedallow

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add mwaskom/seaborn

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Seaborn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Seaborn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/mwaskom-seaborn/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Seaborn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Seaborn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mwaskom-seaborn/install
Install command: npx skills add mwaskom/seaborn
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/mwaskom-seaborn/install

LLM text format

/api/skills/mwaskom-seaborn/install?format=text

Find alternatives

/api/skills/search?q=Seaborn&limit=3

Agent prompt

Use Seaborn for this task. Review https://www.openagentskill.com/api/skills/mwaskom-seaborn/install, then install with: npx skills add mwaskom/seaborn

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/mwaskom-seaborn

LLM text

/api/registry/manifest/mwaskom-seaborn?format=text

Install alias

/api/registry/install/mwaskom-seaborn

Recommend

/api/registry/recommend?task=Use%20Seaborn%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Data analysis

Use-case tags

Data analysisGitHub automationCoding agents

Platforms

Python, Data Visualization, Claude Code

Audit report

Safe to try · 88/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Data analysis

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Data analysis

Trust label

Production-ready

Install path

Command ready

Use when

  • Data analysis workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 13,913 GitHub stars
  • install command or GitHub repo available
  • 100/100 quality profile
  • 21 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Data analysis task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

84
OpenAgentSkill Trust Score

GitHub adoption

PASS

14K GitHub stars

Stars/forks activity

PASS

14K stars, 2.1K forks; issue activity unavailable in current metadata

Recent maintenance

INFO

6mo since push

License clarity

PASS

BSD-3-Clause

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
14K
Freshness
6mo ago
Install ready
Yes
License
BSD-3-Clause

Workflow fit

Use this skill in these scenarios

Analyze datasets

Data analysis

I need my agent to analyze CSV data, produce insights, and explain trends.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Workflow fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

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Overview

Statistical data visualization in Python

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
data-visualizationFULL

Technical details

Version
1.0.0
License
BSD-3-Clause
Last updated
Jun 16, 2026
Published
Jun 16, 2026

Frameworks & tools

PythonData Visualization

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

13,913 GitHub stars

Audit

Install review

Install and adoption review

88
Safe to try
Security
88/100
Maintenance
62/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Seaborn, ready for a manual X post.

Curator note
For source-backed research, this is a skill worth shortlisting before another blank prompt.

Seaborn: Statistical data visualization in Python

13.9K stars

https://www.openagentskill.com/skills/mwaskom-seaborn?ref=x
Open X draft
Optional reply with install command
Listing + install path for Seaborn:
https://www.openagentskill.com/skills/mwaskom-seaborn?ref=x

Install: npx skills add mwaskom/seaborn
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
mwaskom
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to mwaskom but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/mwaskom-seaborn?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mwaskom-seaborn)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mwaskom-seaborn?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mwaskom-seaborn)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mwaskom-seaborn?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mwaskom-seaborn/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mwaskom-seaborn?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mwaskom-seaborn)
Preview badge Open audit Creator kit

Author

M

mwaskom✓

@mwaskom

Tags

data-visualizationanalyticsdatadata-sciencematplotlibpandaspythongithub

Platform fit

Claude Code

Health signals

GitHub stars
13.9K
Quality score
65/100
Last GitHub push
Jan 22, 2026
Framework hints
2
OpenAgentSkill views
4
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

84
  • GitHub adoption14K GitHub starsPASS
  • Stars/forks activity14K stars, 2.1K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance6mo since pushINFO
  • License clarityBSD-3-ClausePASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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