Probly

STRONG · 78
Community indexed

PragmaticMachineLearning/probly is a high-star GitHub project relevant to AI agent workflows.

Downloads 0
Stars 896
Version 1.0.0
Quality 56/100 · Promising
Trust 78/100 · Strong shortlist
Audit 71/100 · Needs review

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 PragmaticMachineLearning/probly

Maintenance

stale

1y since push

Risk

Needs review

Repository appears stale

GitHub quality

896

56/100 quality · 78/100 trust

Coverage tags

DataData analysisdata-analysisanalyticsartificial-intelligence

Review notes

Repository appears stale · Repository looks stale

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

Promising
56

Useful candidate, but compare it with alternatives before adopting.

Trust

Strong shortlist
78

Good trust signals with a few areas worth checking before rollout.

Audit

Needs review
71

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

59/100 · 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.

  • Repository appears stale

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

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

$ npx skills add PragmaticMachineLearning/probly

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

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

Agent prompt

Use Probly for this task. Review https://www.openagentskill.com/api/skills/pragmaticmachinelearning-probly/install, then install with: npx skills add PragmaticMachineLearning/probly

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

Agent fit

58/100

Data analysis

Platforms

TypeScript, Data Analysis, Claude Code

Audit report

Needs review · 71/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Fallback candidate for Data analysis

Prototype with this skill first; keep a fallback candidate ready.

58
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Data analysis

Trust label

Prototype first

Install path

Command ready

Use when

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

Evidence

  • 896 GitHub stars
  • install command or GitHub repo available
  • 56/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

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

Strong shortlist

Good trust signals with a few areas worth checking before rollout.

78
Trust score

GitHub adoption

INFO

896 GitHub stars

Recent maintenance

FIX

1y since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal

Review before install

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 1y since push

Recommended action

Test in a sandbox workflow and compare its install path with close alternatives.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

56
GitHub stars
896
Freshness
1y ago
Install ready
Yes
License
MIT
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

PragmaticMachineLearning/probly is a high-star GitHub project relevant to AI agent workflows.

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

Platform Compatibility

typescriptFULL
data-analysisFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/16/2026
Published
5/24/2026

Frameworks & Tools

TypeScriptData Analysis

Decision snapshot

Fallback candidate

58
Ready
Prototype
Stage

896 GitHub stars

Audit Snapshot

Install and adoption review

71
Needs review
Security
97/100
Maintenance
38/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Probly, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Probly

Use it when you want your coding agent to carry more repo context and ship repetitive changes faster.

896 stars - data-analysis
Link: https://www.openagentskill.com/skills/pragmaticmachinelearning-probly?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Probly:
https://www.openagentskill.com/skills/pragmaticmachinelearning-probly?ref=x

Install: npx skills add PragmaticMachineLearning/probly

Listing source

Community indexed

Claimable

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

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 PragmaticMachineLearning 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/pragmaticmachinelearning-probly)](https://www.openagentskill.com/skills/pragmaticmachinelearning-probly)

Author

P

PragmaticMachineLearning

@pragmaticmachinelearning

Platform Fit

Health Signals

GitHub stars
896
Quality score
39/100
Last GitHub push
May 13, 2025
Framework hints
2
OpenAgentSkill views
0
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

Strong shortlist

78
  • GitHub adoption896 GitHub starsINFO
  • Recent maintenance1y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add PragmaticMachineLearning/problyPASS