Star200+

Pynguin

STRONG · 82
Community indexed

The PYthoN General UnIt Test geNerator is a test-generation tool for Python

Verified installs0
Stars1.4K
Version1.0.0
Quality97/100 · Excellent
Trust82/100 · Review then install
Audit91/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

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

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add se2p/pynguin

Maintenance

active

3mo since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

1.4K

97/100 Quality · 87/100 Trust

Coverage tags

CodingCoding agentstesting-qatest-generationqa

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.

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
97

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

Trust

Review then install
82

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

Audit

Needs review
91

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

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

PythonTestingCodexClaude CodeCursor

Stars

1.4K GitHub stars

Repo activity

1.4K stars, 97 forks

Maintenance

3mo since push

License

MIT

Install

npx skills add se2p/pynguin

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

  • Financial research output is not financial advice; require human review before any live investment decision.

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

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files

Suited agents

PythonTestingCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add se2p/pynguin
Policy
review
Human review
yes

Trust and risk

Trust
82/100
Audit
91/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add se2p/pynguin
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
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Alternative

Testcafe

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npx skills add DevExpress/testcafe

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Alternative

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Agent safety v2

75/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

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.

  • Financial research output is not financial advice; require human review before any live investment decision

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

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install se2p-pynguin

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%20Pynguin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/se2p-pynguin/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 Pynguin in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Pynguin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/se2p-pynguin/install
Install command: npx skills add se2p/pynguin
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/se2p-pynguin/install

LLM text format

/api/skills/se2p-pynguin/install?format=text

Find alternatives

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

Agent prompt

Use Pynguin for this task. Review https://www.openagentskill.com/api/skills/se2p-pynguin/install, then install with: npx skills add se2p/pynguin

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/se2p-pynguin

LLM text

/api/registry/manifest/se2p-pynguin?format=text

Install alias

/api/registry/install/se2p-pynguin

Recommend

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

Agent fit

100/100

Coding agents

Use-case tags

Coding agentsRAG and knowledgeBrowser automation

Platforms

Python, Testing, Claude Code

Audit report

Needs review · 91/100

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

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

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

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,383 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 97/100 quality profile
  • 13 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents 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.

82
OpenAgentSkill Trust Score

GitHub adoption

PASS

1.4K GitHub stars

Stars/forks activity

INFO

1.4K stars, 97 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

Good signals

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

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • 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.

97
GitHub stars
1.4K
Freshness
3mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

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

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Workflow fit

Add it to a complete workflow

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.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

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Overview

The PYthoN General UnIt Test geNerator is a test-generation tool for 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
testingFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Jun 16, 2026

Frameworks & tools

PythonTesting

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

1,383 GitHub stars

Audit

Install review

Install and adoption review

91
Needs review
Security
88/100
Maintenance
88/100
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 Pynguin, ready for a manual X post.

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

Pynguin: The PYthoN General UnIt Test geNerator is a test-generation tool for Python

1.4K stars

https://www.openagentskill.com/skills/se2p-pynguin?ref=x
Open X draft
Optional reply with install command
Listing + install path for Pynguin:
https://www.openagentskill.com/skills/se2p-pynguin?ref=x

Install: npx skills add se2p/pynguin
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
se2p
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 se2p 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/se2p-pynguin?metric=listed&label=Listed)](https://www.openagentskill.com/skills/se2p-pynguin)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/se2p-pynguin?metric=trust&label=Trust)](https://www.openagentskill.com/skills/se2p-pynguin)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/se2p-pynguin?metric=audit&label=Audit)](https://www.openagentskill.com/skills/se2p-pynguin/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/se2p-pynguin?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/se2p-pynguin)
Preview badge Open audit Creator kit

Author

S

se2p✓

@se2p

Tags

test-generationqadeveloper-toolscodingpythonsearch-based-software-testingtest-generatortesting-toolsgithub

Platform fit

Claude Code

Health signals

GitHub stars
1.4K
Quality score
61/100
Last GitHub push
Jun 2, 2026
Framework hints
2
OpenAgentSkill views
6
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

82
  • GitHub adoption1.4K GitHub starsPASS
  • Stars/forks activity1.4K stars, 97 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance3mo since pushPASS
  • License clarityMITPASS
  • 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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InstallView on GitHub