---
title: "go-stock trust report"
type: "trust-report"
slug: "arvinlovegood-go-stock"
canonical_url: "https://www.graphcanon.com/tools/arvinlovegood-go-stock/trust"
computed_at: "2026-07-15T11:03:24.112Z"
maintenance_label: "Very active"
security_status: "findings"
---

# go-stock trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and external security intelligence providers. Not a security guarantee._

## Maintenance

- Label: Very active (96% recency signal)
- Days since last push: 4
- Last release: 2026-07-10T04:11:54Z
- Releases (90d): 30
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 904534974
- Not a fork
- Owner type: User
- Computed at: 2026-07-15T11:03:24.112Z
- Methodology: github_public_v1

## Security intelligence

- **OSV dependency advisories**: Published findings
  - Last query: 2026-07-15T11:03:26.243038+00:00
  - Evidence: https://osv.dev/
- **deps.dev advisories**: Not queried
  - Evidence: https://deps.dev/
- **OpenSSF Scorecard**: Not queried
  - Evidence: https://api.securityscorecards.dev/projects/github.com/ArvinLovegood/go-stock
  - Note: Weekly public scans omit some checks at scale.

### Findings

- **low**: GO-2025-3557 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3558 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3559 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3582 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3689 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3695 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-3824 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)
- **low**: GO-2025-4251 (github.com/ollama/ollama@v0.30.8 · go.sum · osv@v1)

## Method and caveats

These are heuristics from public GitHub data and external security intelligence providers, sourced and dated. 
"No published findings from this source" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is go-stock maintained?

GraphCanon rates go-stock "Very active" (96% maintenance signal from public GitHub metadata, computed today). Last push was 4 days ago. 30 GitHub releases in the last 90 days. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is go-stock safe to use?

Last scanned today (deps profile). Status: 8 low - 8 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 go-stock as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is go-stock a fork?

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

### Does go-stock have known security vulnerabilities?

Last scanned today (deps profile). Status: 8 low - 8 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 go-stock 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 go-stock?

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

### How does GraphCanon assess trust for go-stock?

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/arvinlovegood-go-stock/trust`](/api/graphcanon/tools/arvinlovegood-go-stock/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/_