Computer Use
💻 Give AI models complete control of your computer (probably a bad idea)
Is Computer Use safe? Promising trust profile, but some evidence still deserves review.
Compare Computer Use
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Computer Use scores 64.2/100 (Grade C), ranked #503 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 5.0/10; 85% of recent commits are signed; last pushed 2026-09-09. Every point is earned from checkable signals — never paid placement. How scoring works →
How Computer Use compares in MCP Servers
- #288 IDA Pro MCP 64.3 +0.1
- #289 GitLab MCP Server 64.2 ±0
- #290 Computer Use 64.2 this agent
- #291 CrowdSentinels AI MCP 64.2 ±0
- #292 Google Maps MCP Server 64.2 ±0
Bars show each HVTrust score; the tick marks Computer Use’s 64.2.
Where the 64.2 comes from
HVTrust dimensions vs the MCP Servers average
64.2 / 100 · 100.0% confidenceComputer Use MCP Servers average (775 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
57.5 / 100Supply Chain Trust
Common questions about Computer Use
Does Computer Use publish package provenance?
Does Computer Use have an OpenSSF Scorecard?
Is Computer Use actively maintained?
What license does Computer Use use?
Are Computer Use's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Computer Use's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Computer Use?
For maintainers
HVTrust scores Computer Use from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/computer-use)
<a href="https://hvtracker.net/agents/computer-use"><img src="https://hvtracker.net/badge/computer-use.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON