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Skills/data-analysis/Kneed

Kneed

REVIEW · 71
Community indexed

Knee point detection in Python :chart_with_upwards_trend:

Downloads0
Stars812
Version1.0.0
Quality80/100 · Strong
Trust71/100 · Sandbox only
Audit82/100 · 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 arvkevi/kneed

Maintenance

active

4mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

812

80/100 quality · 79/100 trust

Coverage tags

DataData analysisdata-analysisanalyticsdata-science

Review notes

Quality score needs review

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

Strong
80

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
71

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

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

Trust Score v5

Human review before install

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

PythonData AnalysisCodexClaude CodeCursor

Stars

812 GitHub stars

Repo activity

812 stars, 76 forks

Maintenance

4mo since push

License

BSD-3-Clause

Install

npx skills add arvkevi/kneed

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

Review before production

  • Quality score needs review

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 AnalysisCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add arvkevi/kneed
Policy
review
Human review
yes

Trust and risk

Trust
71/100
Audit
82/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add arvkevi/kneed
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
  • Quality score needs review
  • Production credentials, payments, or irreversible account changes without explicit human review

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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.

  • Quality score needs review

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 arvkevi/kneed

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

Resolve JSON

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/arvkevi-kneed/install?format=text

Find alternatives

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

Agent prompt

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

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/arvkevi-kneed

LLM text

/api/registry/manifest/arvkevi-kneed?format=text

Install alias

/api/registry/install/arvkevi-kneed

Recommend

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

Agent fit

92/100

Data analysis

Use-case tags

Data analysisGitHub automationCoding agents

Platforms

Python, Data Analysis, Claude Code

Audit report

Safe to try · 82/100

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

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.

92
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

  • 812 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 80/100 quality profile
  • 3 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

Sandbox only

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

71
Trust score

GitHub adoption

INFO

812 GitHub stars

Stars/forks activity

INFO

812 stars, 76 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

4mo since push

License clarity

PASS

BSD-3-Clause

Good signals

  • 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

  • Quality score needs review
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

80
GitHub stars
812
Freshness
4mo 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.

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A stack 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 stack 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 stack 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

Knee point detection in Python :chart_with_upwards_trend:

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-analysisFULL

Technical Details

Version
1.0.0
License
BSD-3-Clause
Last Updated
6/14/2026
Published
5/24/2026

Frameworks & Tools

PythonData Analysis

Decision snapshot

Primary pick

92
Ready
Adopt
Stage

812 GitHub stars

Audit snapshot

Install review

Install and adoption review

82
Safe to try
Security
88/100
Maintenance
76/100
Install
92/100
Open full auditOpen 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 audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

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

Curator note
A lot of agents don't need a bigger prompt. They need fresher context.

Kneed feels like a recent-web radar for Codex, Claude Code, Cursor, and research agents.

812 stars

https://www.openagentskill.com/skills/arvkevi-kneed?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Kneed:
https://www.openagentskill.com/skills/arvkevi-kneed?ref=x

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

Author

A

arvkevi

@arvkevi

Tags

data-analysisanalyticsdatadata-scienceelbow-methodknee-pointpythonscientific-computingsystemsgithub

Platform Fit

Claude Code

Health Signals

GitHub stars
812
Quality score
51/100
Last GitHub push
Mar 20, 2026
Framework hints
2
OpenAgentSkill views
2
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

71
  • GitHub adoption812 GitHub starsINFO
  • Stars/forks activity812 stars, 76 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance4mo 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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OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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