UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add bytedance/UI-TARS-desktop
Maintenance
fresh
19d since push
Risk
Needs review
License is unclear
GitHub quality
37K
100/100 quality · 86/100 trust
Coverage tags
Review notes
License is unclear · Documentation summary is thin
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Human review before install
Use as the primary candidate after human or sandbox review.
Stars
37K GitHub stars
Repo activity
37K stars, 3.7K forks
Maintenance
19d since push
License
Unknown
Install
npx skills add bytedance/UI-TARS-desktop
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Review before production
- License is unclear
- Documentation summary is thin
- License clarity: Unknown
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- 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.
Suited tasks
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Navigate pages
Suited agents
Install decision
- Command
- npx skills add bytedance/UI-TARS-desktop
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 78/100
- Audit
- 92/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add bytedance/UI-TARS-desktopDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- License is unclear
- Documentation summary is thin
Agent safety v2
80/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- 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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add bytedance/UI-TARS-desktopAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20UI-TARS%20Desktop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20UI-TARS%20Desktop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/bytedance-ui-tars-desktop/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 UI-TARS Desktop in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20UI-TARS%20Desktop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/bytedance-ui-tars-desktop/install
Install command: npx skills add bytedance/UI-TARS-desktop
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.
Install handoff
/api/skills/bytedance-ui-tars-desktop/install
LLM text format
/api/skills/bytedance-ui-tars-desktop/install?format=text
Find alternatives
/api/skills/search?q=UI-TARS%20Desktop&limit=3
Agent prompt
Use UI-TARS Desktop for this task. Review https://www.openagentskill.com/api/skills/bytedance-ui-tars-desktop/install, then install with: npx skills add bytedance/UI-TARS-desktopRegistry 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.
Manifest
/api/registry/manifest/bytedance-ui-tars-desktop
LLM text
/api/registry/manifest/bytedance-ui-tars-desktop?format=text
Install alias
/api/registry/install/bytedance-ui-tars-desktop
Recommend
/api/registry/recommend?task=Use%20UI-TARS%20Desktop%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
UI-TARS, Desktop, TypeScript, Claude Code
Audit report
Needs review · 92/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Browser automation
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
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 36,958 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 55 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Browser automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS37K GitHub stars
Stars/forks activity
PASS37K stars, 3.7K forks; issue activity unavailable in current metadata
Recent maintenance
PASS19d since push
License clarity
CHECKUnknown
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- License is unclear
- Documentation summary is thin
- License clarity: Unknown
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Stack fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
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.
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.
Alternative shortlist
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Overview
Run multimodal agents that operate desktop interfaces
Imported from GitHub high-star repositories on 2026-05-21 to broaden the Open Agent Skill catalog.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 6/20/2026
- Published
- 5/21/2026
Frameworks & Tools
Decision snapshot
Primary pick
36,958 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 82/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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.
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for UI-TARS Desktop, ready for a manual X post.
A good workflow skill turns repeated manual steps into something an agent can safely replay. UI-TARS Desktop helps agents move a repeatable workflow out of manual copy-paste. 37.0K stars https://www.openagentskill.com/skills/bytedance-ui-tars-desktop?ref=x #AIAgents
Optional reply with install command
Listing + install path for UI-TARS Desktop: https://www.openagentskill.com/skills/bytedance-ui-tars-desktop?ref=x Install: npx skills add bytedance/UI-TARS-desktop
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- bytedance
- 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 skillOwner claim
Claim this skill listing
This registry indexed listing is attributed to bytedance 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.
[](https://www.openagentskill.com/skills/bytedance-ui-tars-desktop)Author
bytedance✓
@bytedance
Platform Fit
Health Signals
- GitHub stars
- 37.0K
- Quality score
- 75/100
- Last GitHub push
- Jun 18, 2026
- Framework hints
- 3
- OpenAgentSkill views
- 1
- 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
Review then install
- GitHub adoption37K GitHub starsPASS
- Stars/forks activity37K stars, 3.7K forks; issue activity unavailable in current metadataPASS
- Recent maintenance19d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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