Star200+

Deepchecks

REVIEW · 75
Community indexed

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Downloads0
Stars4.0K
Version1.0.0
Quality88/100 · Excellent
Trust75/100 · Sandbox only
Audit82/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add deepchecks/deepchecks

Maintenance

stable

7mo since push

Risk

Safe to try

License is unclear

GitHub quality

4.0K

88/100 Quality · 83/100 Trust

Coverage tags

ResearchResearch agentsml-automationmachine-learningautomation

Review notes

License is unclear · License clarity: Unknown

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
88

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

Trust

Sandbox only
75

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
82

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

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonMachine LearningCodexClaude CodeCursor

Stars

4.0K GitHub stars

Repo activity

4.0K stars, 300 forks

Maintenance

7mo since push

License

Unknown

Install

npx skills add deepchecks/deepchecks

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • 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

  • Research agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Search sources

Suited agents

PythonMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add deepchecks/deepchecks
Policy
review
Human review
yes

Trust and risk

Trust
75/100
Audit
82/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add deepchecks/deepchecks
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
  • License is unclear
  • License clarity: Unknown

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Agent safety v2

66/100 · 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.

  • License is unclear

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 deepchecks/deepchecks

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/deepchecks-deepchecks/install?format=text

Find alternatives

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

Agent prompt

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

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/deepchecks-deepchecks

LLM text

/api/registry/manifest/deepchecks-deepchecks?format=text

Install alias

/api/registry/install/deepchecks-deepchecks

Recommend

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

Agent fit

93/100

Research agents

Use-case tags

Research agentsRAG and knowledgeGitHub automation

Platforms

Python, Machine Learning, Claude Code

Audit report

Safe to try · 82/100

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

View audit reportView eval report

Agent decision cockpit

Primary pick for Research agents

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

93
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Research agents

Trust label

Production-ready

Install path

Command ready

Use when

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

Evidence

  • 4,024 GitHub stars
  • install command or GitHub repo available
  • 88/100 quality profile
  • 7 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research 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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

75
OpenAgentSkill Trust Score

GitHub adoption

PASS

4.0K GitHub stars

Stars/forks activity

PASS

4.0K stars, 300 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

7mo since push

License clarity

CHECK

Unknown

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • 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

  • License is unclear
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Excellent candidate for agent workflows

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

88
GitHub stars
4.0K
Freshness
7mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Search private knowledge

RAG and knowledge

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

Manage repositories

GitHub automation

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

Workflow fit

Add it to a complete workflow

Find, compare, and synthesize

Research report agent

A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

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.

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.

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Overview

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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
machine-learningFULL

Technical details

Version
1.0.0
License
Unknown
Last updated
Jun 16, 2026
Published
Jun 16, 2026

Frameworks & tools

PythonMachine Learning

Decision snapshot

Primary pick

93
Ready
Adopt
Stage

4,024 GitHub stars

Audit

Install review

Install and adoption review

82
Safe to try
Security
82/100
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 Deepchecks, ready for a manual X post.

Curator note
A practical pick for source-backed research:

Deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of y...

4.0K stars

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

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

Author

D

deepchecks✓

@deepchecks

Tags

machine-learningautomationml-mediadata-driftdata-sciencedata-validationdeep-learninghtml-reportjupyter-notebookml

Platform fit

Claude Code

Health signals

GitHub stars
4.0K
Quality score
60/100
Last GitHub push
Dec 28, 2025
Framework hints
2
OpenAgentSkill views
3
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

Sandbox only

75
  • GitHub adoption4.0K GitHub starsPASS
  • Stars/forks activity4.0K stars, 300 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance7mo since pushINFO
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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