---
title: "Good-GYM trust report"
type: "trust-report"
slug: "yo-wassup-good-gym"
canonical_url: "https://www.graphcanon.com/tools/yo-wassup-good-gym/trust"
computed_at: "2026-07-11T12:29:57.536Z"
maintenance_label: "Active"
security_status: "findings"
---

# Good-GYM 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: Active (82% recency signal)
- Days since last push: 9
- Last release: 2026-07-02T08:33:23Z
- Releases (90d): 1
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 985542819
- Not a fork
- Owner type: User
- Computed at: 2026-07-11T12:29:57.536Z
- Methodology: github_public_v1

## Security scan

- Status: Findings present (0 critical, 0 high, 0 medium, 79 low) · last scan 2026-07-11T12:29:58.922Z

### Findings

- **low**: GHSA-qr4w-53vh-m672 (opencv-python@4.5.0 · requirements.txt)
- **low**: PYSEC-2023-183 (opencv-python@4.5.0 · requirements.txt)
- **low**: GHSA-6p56-wp2h-9hxr (numpy@1.19.0 · requirements.txt)
- **low**: GHSA-fpfv-jqm9-f5jm (numpy@1.19.0 · requirements.txt)
- **low**: PYSEC-2021-856 (numpy@1.19.0 · requirements.txt)
- **low**: GHSA-9w2p-rh8c-v9g5 (pyinstaller@5.0.0 · requirements.txt)
- **low**: GHSA-p2xp-xx3r-mffc (pyinstaller@5.0.0 · requirements.txt)
- **low**: PYSEC-2023-292 (pyinstaller@5.0.0 · requirements.txt)
- **low**: PYSEC-2026-1813 (pyinstaller@5.0.0 · requirements.txt)
- **low**: GHSA-3f63-hfp8-52jq (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-3wvg-mj6g-m9cv (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-44wm-f244-xhp3 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-4fx9-vc88-q2xc (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-57h3-9rgr-c24m (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-7534-mm45-c74v (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-77gc-v2xv-rvvh (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-7r7m-5h27-29hp (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-8ghj-p4vj-mr35 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-8vj2-vxx3-667w (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-8xjq-8fcg-g5hw (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-95q3-8gr9-gm8w (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-98vv-pw6r-q6q4 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-9hx2-hgq2-2g4f (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-9j59-75qj-795w (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-f4w8-cv6p-x6r5 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-f5g8-5qq7-938w (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-g6rj-rv7j-xwp4 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-hf64-x4gq-p99h (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-hjfx-8p6c-g7gx (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-j7hp-h8jx-5ppr (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-jgpv-4h4c-xhw3 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-m2vv-5vj5-2hm7 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-mvg9-xffr-p774 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-p43w-g3c5-g5mq (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-pw3c-h7wp-cvhx (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-q5hq-fp76-qmrc (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-r73j-pqj5-w3x7 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-rwv7-3v45-hg29 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-vqcj-wrf2-7v73 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-wjx4-4jcj-g98j (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-xrcv-f9gm-v42c (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-137 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-138 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-139 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-317 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-331 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-35 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-36 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-37 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-38 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-39 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-40 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-41 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-42 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-69 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-70 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-71 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-92 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-93 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2021-94 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-10 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-168 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-42979 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-42980 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-8 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2022-9 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2023-175 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2023-227 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2026-165 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2026-1793 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2026-1794 (Pillow@8.0.0 · requirements.txt)
- **low**: PYSEC-2026-457 (Pillow@8.0.0 · requirements.txt)
- **low**: GHSA-9hjg-9r4m-mvj7 (requests@2.25.0 · requirements.txt)
- **low**: GHSA-9wx4-h78v-vm56 (requests@2.25.0 · requirements.txt)
- **low**: GHSA-gc5v-m9x4-r6x2 (requests@2.25.0 · requirements.txt)
- **low**: GHSA-j8r2-6x86-q33q (requests@2.25.0 · requirements.txt)
- **low**: PYSEC-2023-74 (requests@2.25.0 · requirements.txt)
- **low**: PYSEC-2026-1872 (requests@2.25.0 · requirements.txt)
- **low**: PYSEC-2026-1873 (requests@2.25.0 · 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 Good-GYM maintained?

GraphCanon rates Good-GYM "Active" (82% maintenance signal from public GitHub metadata, computed today). Last push was 9 days ago. 1 GitHub releases in the last 90 days. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is Good-GYM safe to use?

Last scanned today (deps profile). Status: 79 low - 79 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 Good-GYM as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is Good-GYM a fork?

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

### Does Good-GYM have known security vulnerabilities?

Last scanned today (deps profile). Status: 79 low - 79 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 Good-GYM 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 Good-GYM?

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

### How does GraphCanon assess trust for Good-GYM?

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/yo-wassup-good-gym/trust`](/api/graphcanon/tools/yo-wassup-good-gym/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/_
