State of the Art 82% OSWorld Computer Using Agent, production-ready. Remote and Local! Setup using one API Key
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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 coasty-ai/open-computer-use
Maintenance
active
1mo since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
762
83/100 quality · 78/100 trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
762 GitHub stars
Repo activity
762 stars, 94 forks
Maintenance
1mo since push
License
Apache-2.0
Install
npx skills add coasty-ai/open-computer-use
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coasty-ai/open-computer-useDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add coasty-ai/open-computer-useAgent resolve plan
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.
Resolve JSON
/api/agent/resolve?task=Use%20Open%20Computer%20Use%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Open%20Computer%20Use%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coasty-ai-open-computer-use/install
Agent should check
Copy prompt
Task: Use Open Computer Use in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Open%20Computer%20Use%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coasty-ai-open-computer-use/install
Install command: npx skills add coasty-ai/open-computer-use
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coasty-ai-open-computer-use/install
LLM text format
/api/skills/coasty-ai-open-computer-use/install?format=text
Find alternatives
/api/skills/search?q=Open%20Computer%20Use&limit=3
Agent prompt
Use Open Computer Use for this task. Review https://www.openagentskill.com/api/skills/coasty-ai-open-computer-use/install, then install with: npx skills add coasty-ai/open-computer-useRegistry metadata
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.
Manifest
/api/registry/manifest/coasty-ai-open-computer-use
LLM text
/api/registry/manifest/coasty-ai-open-computer-use?format=text
Install alias
/api/registry/install/coasty-ai-open-computer-use
Recommend
/api/registry/recommend?task=Use%20Open%20Computer%20Use%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
TypeScript, Computer Use, Claude Code
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO762 GitHub stars
Stars/forks activity
INFO762 stars, 94 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1mo since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Create agents that monitor and act on your behalf. Your agents are standing by!
🚀 The easiest way to automate building and releasing your iOS and Android apps
State of the Art 82% OSWorld Computer Using Agent, production-ready. Remote and Local! Setup using one API Key
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.
Frameworks & Tools
Decision snapshot
762 GitHub stars
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Open Computer Use, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Open Computer Use gives coding agents a repeatable way to plan, patch, review, or ship. 762 stars https://www.openagentskill.com/skills/coasty-ai-open-computer-use?ref=x #AIAgents
Listing + install path for Open Computer Use: https://www.openagentskill.com/skills/coasty-ai-open-computer-use?ref=x Install: npx skills add coasty-ai/open-computer-use
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to coasty-ai 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
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/coasty-ai-open-computer-use)
[](https://www.openagentskill.com/skills/coasty-ai-open-computer-use)
[](https://www.openagentskill.com/skills/coasty-ai-open-computer-use/audit)
[](https://www.openagentskill.com/skills/coasty-ai-open-computer-use)coasty-ai
@coasty-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
MoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K stars · 0 installsHuginn
Create agents that monitor and act on your behalf. Your agents are standing by!
49.5K stars · 0 installsFastlane
🚀 The easiest way to automate building and releasing your iOS and Android apps
41.7K stars · 0 installs