DXcam

TRUSTED · 86
Community indexed

A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026

Downloads 0
Stars 811
Version 1.0.0
Quality 76/100 · Strong
Trust 86/100 · Production candidate
Audit 86/100 · Safe to try

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 ra1nty/DXcam

Maintenance

active

3mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

811

76/100 quality · 86/100 trust

Coverage tags

CodingCoding agentsrobotics-iotcomputer-visionautomation

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
76

Solid option that is likely worth shortlisting for production workflows.

Trust

Production candidate
86

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

Audit

Safe to try
86

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

Agent safety v2

70/100 · Review before install

Reviewedreview

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.

  • 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 ra1nty/DXcam

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 DXcam in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20DXcam%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ra1nty-dxcam/install
Install command: npx skills add ra1nty/DXcam
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 DXcam for this task. Review https://www.openagentskill.com/api/skills/ra1nty-dxcam/install, then install with: npx skills add ra1nty/DXcam

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

87/100

Coding agents

Platforms

Python, Computer Vision, Claude Code

Audit report

Safe to try · 86/100

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

View audit 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.

87
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

  • 811 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 76/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

86
Trust score

GitHub adoption

INFO

811 GitHub stars

Recent maintenance

PASS

3mo 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
  • Recently maintained repository
  • Meaningful GitHub adoption signal

Review before install

  • Quality score needs review

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

76
GitHub stars
811
Freshness
3mo ago
Install ready
Yes
License
MIT

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

A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026

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
computer-visionFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/16/2026
Published
6/15/2026

Frameworks & Tools

PythonComputer Vision

Decision snapshot

Primary pick

87
Ready
Adopt
Stage

811 GitHub stars

Audit Snapshot

Install and adoption review

86
Safe to try
Security
96/100
Maintenance
88/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

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

OpenAgentSkill Update
Today: DXcam

Use it when you want a practical agent capability you can plug into real work, not just another demo.

811 stars - robotics-iot
Link: https://www.openagentskill.com/skills/ra1nty-dxcam?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for DXcam:
https://www.openagentskill.com/skills/ra1nty-dxcam?ref=x

Install: npx skills add ra1nty/DXcam

Listing source

Community indexed

Claimable

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

Creator
ra1nty
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 ra1nty 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/ra1nty-dxcam)](https://www.openagentskill.com/skills/ra1nty-dxcam)

Author

R

ra1nty

@ra1nty

Platform Fit

Health Signals

GitHub stars
811
Quality score
47/100
Last GitHub push
Mar 18, 2026
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

Production candidate

86
  • GitHub adoption811 GitHub starsINFO
  • Recent maintenance3mo since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency risknetwork or browser surfacePASS
  • Install availabilitynpx skills add ra1nty/DXcamPASS