---
title: "RoBO trust report"
type: "trust-report"
slug: "automl-robo"
canonical_url: "https://www.graphcanon.com/tools/automl-robo/trust"
computed_at: "2026-07-11T23:36:35.641Z"
maintenance_label: "Dormant"
security_status: "findings"
---

# RoBO trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and optional dependency [security scans](/glossary/trust-and-signals/security-scan). Not a security guarantee._

## Maintenance

- Label: Dormant (18% recency signal)
- Days since last push: 2629
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 32976730
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T23:36:35.641Z
- Methodology: github_public_v1

## Security scan

- Status: Findings present (0 critical, 0 high, 0 medium, 15 low) · last scan 2026-07-11T23:36:36.156Z

### Findings

- **low**: GHSA-2fc2-6r4j-p65h (numpy@1.7 · requirements.txt)
- **low**: GHSA-5545-2q6w-2gh6 (numpy@1.7 · requirements.txt)
- **low**: GHSA-9fq2-x9r6-wfmf (numpy@1.7 · requirements.txt)
- **low**: GHSA-cw6w-4rcx-xphc (numpy@1.7 · requirements.txt)
- **low**: GHSA-f7c7-j99h-c22f (numpy@1.7 · requirements.txt)
- **low**: GHSA-fpfv-jqm9-f5jm (numpy@1.7 · requirements.txt)
- **low**: GHSA-frgw-fgh6-9g52 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2017-1 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2018-33 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2018-34 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2019-108 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2021-856 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2021-857 (numpy@1.7 · requirements.txt)
- **low**: PYSEC-2023-102 (scipy@0.13.3 · requirements.txt)
- **low**: PYSEC-2023-114 (scipy@0.13.3 · requirements.txt)

## Method and caveats

These are heuristics from public GitHub data and optional dependency scans, sourced and dated. 
"No criticals found on 2026-07-11" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is RoBO maintained?

GraphCanon rates RoBO "Dormant" (18% maintenance signal from public GitHub metadata, computed today). Last push was 2629 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is RoBO safe to use?

Last scanned today (deps profile). Status: 15 low - 15 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify RoBO as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is RoBO a fork?

No. RoBO is not flagged as a fork in GitHub metadata at the time of the last refresh.

### Does RoBO have known security vulnerabilities?

Last scanned today (deps profile). Status: 15 low - 15 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.

### How often is the RoBO trust report updated?

Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).

### What does GraphCanon never claim about RoBO?

We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for RoBO. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology).

### How does GraphCanon assess trust for RoBO?

Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read [trust methodology](/trust-methodology) for full scope and limits.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/automl-robo/trust`](/api/graphcanon/tools/automl-robo/trust)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_