---
title: "scikit-optimize trust report"
type: "trust-report"
slug: "scikit-optimize-scikit-optimize"
canonical_url: "https://www.graphcanon.com/tools/scikit-optimize-scikit-optimize/trust"
computed_at: "2026-07-11T23:36:39.937Z"
maintenance_label: "Archived"
security_status: "findings"
---

# scikit-optimize 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: Archived (8% recency signal)
- Days since last push: 869
- Last release: 2021-10-12T15:33:19Z
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 54340642
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T23:36:39.937Z
- Methodology: github_public_v1

## Security scan

- Status: Findings present (0 critical, 0 high, 0 medium, 17 low) · last scan 2026-07-11T23:36:40.430Z

### Findings

- **low**: GHSA-5545-2q6w-2gh6 (numpy@1.13.3 · requirements.txt)
- **low**: GHSA-6p56-wp2h-9hxr (numpy@1.13.3 · requirements.txt)
- **low**: GHSA-9fq2-x9r6-wfmf (numpy@1.13.3 · requirements.txt)
- **low**: GHSA-f7c7-j99h-c22f (numpy@1.13.3 · requirements.txt)
- **low**: GHSA-fpfv-jqm9-f5jm (numpy@1.13.3 · requirements.txt)
- **low**: PYSEC-2019-108 (numpy@1.13.3 · requirements.txt)
- **low**: PYSEC-2021-856 (numpy@1.13.3 · requirements.txt)
- **low**: PYSEC-2021-857 (numpy@1.13.3 · requirements.txt)
- **low**: PYSEC-2023-102 (scipy@0.19.1 · requirements.txt)
- **low**: PYSEC-2023-114 (scipy@0.19.1 · requirements.txt)
- **low**: GHSA-jjw5-xxj6-pcv5 (scikit-learn@0.20 · requirements.txt)
- **low**: GHSA-jw8x-6495-233v (scikit-learn@0.20 · requirements.txt)
- **low**: PYSEC-2020-107 (scikit-learn@0.20 · requirements.txt)
- **low**: PYSEC-2020-108 (scikit-learn@0.20 · requirements.txt)
- **low**: PYSEC-2024-110 (scikit-learn@0.20 · requirements.txt)
- **low**: GHSA-6hrg-qmvc-2xh8 (joblib@0.11 · requirements.txt)
- **low**: PYSEC-2022-288 (joblib@0.11 · 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 scikit-optimize maintained?

scikit-optimize is archived on GitHub. GraphCanon treats archived repositories as dormant regardless of past activity.

### Is scikit-optimize safe to use?

Last scanned today (deps profile). Status: 17 low - 17 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 scikit-optimize as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is scikit-optimize a fork?

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

### Does scikit-optimize have known security vulnerabilities?

Last scanned today (deps profile). Status: 17 low - 17 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 scikit-optimize 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 scikit-optimize?

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

### How does GraphCanon assess trust for scikit-optimize?

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/scikit-optimize-scikit-optimize/trust`](/api/graphcanon/tools/scikit-optimize-scikit-optimize/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/_