OS Agent Survey

STRONG · 74
Community indexed

This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).

Downloads 0
Stars 485
Version 1.0.0
Quality 61/100 · Promising
Trust 74/100 · Strong shortlist
Audit 71/100 · Needs review

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 + Browser agents + CLI

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

Install

Ready

npx skills add OS-Agent-Survey/OS-Agent-Survey

Maintenance

stable

10mo since push

Risk

Needs review

License is unclear

GitHub quality

485

61/100 quality · 74/100 trust

Coverage tags

CodingCoding agentsautomationcomputer-usedesktop-agent

Review notes

License is unclear · 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

Promising
61

Useful candidate, but compare it with alternatives before adopting.

Trust

Strong shortlist
74

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

Audit

Needs review
71

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

Trust Score v3

Human review before install

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

Computer UseCodexClaude CodeCursorOpenAgentSkill CLI

Stars

485 GitHub stars

Repo activity

485 stars, 21 forks

Maintenance

10mo since push

License

Unknown

Install

npx skills add OS-Agent-Survey/OS-Agent-Survey

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 485 stars, 21 forks; issue activity unavailable in current metadata
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • 10mo since push

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

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate local resources
  • Run repeatable desktop actions

Suited agents

Computer UseCodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Trust and risk

Trust score
74/100
Risk level
Needs review
Auto install
review

Install command

npx skills add OS-Agent-Survey/OS-Agent-Survey

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • License is unclear
  • Quality score needs review

Agent safety v2

51/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Browser automation

Skill may drive a browser or interact with web pages.

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

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 OS-Agent-Survey/OS-Agent-Survey

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

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

51/100

Local desktop

Platforms

Computer Use, Claude Code, Browser agents

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

Needs validation for Local desktop

Do a manual repository review before adding this to an agent workflow.

51
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Local desktop

Trust label

Needs manual review

Install path

Command ready

Use when

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 61/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Local desktop 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.

74
Trust score

GitHub adoption

INFO

485 GitHub stars

Stars/forks activity

CHECK

485 stars, 21 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

10mo since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern

Review before install

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 485 stars, 21 forks; issue activity unavailable in current metadata
  • License clarity: Unknown

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.

61
GitHub stars
485
Freshness
10mo ago
Install ready
Yes
License
Unknown

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

This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).

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

computer-useFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

Computer Use

Decision snapshot

Needs validation

51
Ready
Review
Stage

install command or GitHub repo available

Audit Snapshot

Install and adoption review

71
Needs review
Security
79/100
Maintenance
62/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for OS Agent Survey, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: OS Agent Survey

Use it when you need an agent to browse, extract, or monitor web pages without building a scraper f...

485 stars - automation
Link: https://www.openagentskill.com/skills/os-agent-survey-os-agent-survey?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for OS Agent Survey:
https://www.openagentskill.com/skills/os-agent-survey-os-agent-survey?ref=x

Install: npx skills add OS-Agent-Survey/OS-Agent-Survey

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 OS-Agent-Survey 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/os-agent-survey-os-agent-survey)](https://www.openagentskill.com/skills/os-agent-survey-os-agent-survey)

Author

O

OS-Agent-Survey

@os-agent-survey

Health Signals

GitHub stars
485
Quality score
42/100
Last GitHub push
Aug 16, 2025
Framework hints
1
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

74
  • GitHub adoption485 GitHub starsINFO
  • Stars/forks activity485 stars, 21 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance10mo since pushINFO
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime risknetwork or browser surfacePASS