--- title: "ai-engineering-from-scratch-zh trust report" type: "trust-report" slug: "fancyboi999-ai-engineering-from-scratch-zh" canonical_url: "https://www.graphcanon.com/tools/fancyboi999-ai-engineering-from-scratch-zh/trust" computed_at: "2026-07-11T12:27:37.350Z" maintenance_label: "Active" security_status: "findings" --- # ai-engineering-from-scratch-zh 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: 15 - Methodology: github_public_v1 ## Provenance - GitHub repo id: 1250240320 - Not a fork - Owner type: User - Computed at: 2026-07-11T12:27:37.350Z - Methodology: github_public_v1 ## Security scan - Status: Findings present (0 critical, 0 high, 0 medium, 83 low) · last scan 2026-07-11T12:27:39.061Z ### Findings - **low**: GHSA-3749-ghw9-m3mg (torch@2.0 · requirements.txt) - **low**: GHSA-53q9-r3pm-6pq6 (torch@2.0 · requirements.txt) - **low**: GHSA-5pcm-hx3q-hm94 (torch@2.0 · requirements.txt) - **low**: GHSA-887c-mr87-cxwp (torch@2.0 · requirements.txt) - **low**: GHSA-c678-jfcj-6jmf (torch@2.0 · requirements.txt) - **low**: GHSA-f4hp-rmr7-r7v8 (torch@2.0 · requirements.txt) - **low**: GHSA-pg7h-5qx3-wjr3 (torch@2.0 · requirements.txt) - **low**: GHSA-qfhq-4f3w-5fph (torch@2.0 · requirements.txt) - **low**: GHSA-rrmf-rvhw-rf47 (torch@2.0 · requirements.txt) - **low**: GHSA-vgrw-7cvw-pwgx (torch@2.0 · requirements.txt) - **low**: GHSA-x3gm-94wq-g975 (torch@2.0 · requirements.txt) - **low**: PYSEC-2024-250 (torch@2.0 · requirements.txt) - **low**: PYSEC-2024-251 (torch@2.0 · requirements.txt) - **low**: PYSEC-2024-252 (torch@2.0 · requirements.txt) - **low**: PYSEC-2024-259 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-191 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-198 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-203 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-204 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-205 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-206 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-207 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-208 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-209 (torch@2.0 · requirements.txt) - **low**: PYSEC-2025-41 (torch@2.0 · requirements.txt) - **low**: PYSEC-2026-139 (torch@2.0 · requirements.txt) - **low**: PYSEC-2026-1970 (torch@2.0 · requirements.txt) - **low**: GHSA-29pf-2h5f-8g72 (transformers@4.30 · requirements.txt) - **low**: GHSA-37mw-44qp-f5jm (transformers@4.30 · requirements.txt) - **low**: GHSA-37q5-v5qm-c9v8 (transformers@4.30 · requirements.txt) - **low**: GHSA-3863-2447-669p (transformers@4.30 · requirements.txt) - **low**: GHSA-4w7r-h757-3r74 (transformers@4.30 · requirements.txt) - **low**: GHSA-59p9-h35m-wg4g (transformers@4.30 · requirements.txt) - **low**: GHSA-69w3-r845-3855 (transformers@4.30 · requirements.txt) - **low**: GHSA-6rvg-6v2m-4j46 (transformers@4.30 · requirements.txt) - **low**: GHSA-9356-575x-2w9m (transformers@4.30 · requirements.txt) - **low**: GHSA-fpwr-67px-3qhx (transformers@4.30 · requirements.txt) - **low**: GHSA-hxxf-235m-72v3 (transformers@4.30 · requirements.txt) - **low**: GHSA-jjph-296x-mrcr (transformers@4.30 · requirements.txt) - **low**: GHSA-phhr-52qp-3mj4 (transformers@4.30 · requirements.txt) - **low**: GHSA-q2wp-rjmx-x6x9 (transformers@4.30 · requirements.txt) - **low**: GHSA-qq3j-4f4f-9583 (transformers@4.30 · requirements.txt) - **low**: GHSA-qxrp-vhvm-j765 (transformers@4.30 · requirements.txt) - **low**: GHSA-rcv9-qm8p-9p6j (transformers@4.30 · requirements.txt) - **low**: GHSA-v68g-wm8c-6x7j (transformers@4.30 · requirements.txt) - **low**: GHSA-wrfc-pvp9-mr9g (transformers@4.30 · requirements.txt) - **low**: PYSEC-2023-300 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2023-301 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2024-227 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2024-228 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2024-229 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-211 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-212 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-213 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-214 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-215 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-216 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-217 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-218 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2025-40 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1977 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1978 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1980 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1981 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1982 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1983 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1984 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1985 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1986 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1987 (transformers@4.30 · requirements.txt) - **low**: PYSEC-2026-1988 (transformers@4.30 · requirements.txt) - **low**: GHSA-jw8x-6495-233v (scikit-learn@1.3 · requirements.txt) - **low**: PYSEC-2024-110 (scikit-learn@1.3 · requirements.txt) - **low**: GHSA-3f63-hfp8-52jq (pillow@10.0 · requirements.txt) - **low**: GHSA-44wm-f244-xhp3 (pillow@10.0 · requirements.txt) - **low**: GHSA-j7hp-h8jx-5ppr (pillow@10.0 · requirements.txt) - **low**: GHSA-r73j-pqj5-w3x7 (pillow@10.0 · requirements.txt) - **low**: GHSA-wjx4-4jcj-g98j (pillow@10.0 · requirements.txt) - **low**: PYSEC-2023-175 (pillow@10.0 · requirements.txt) - **low**: PYSEC-2026-165 (pillow@10.0 · requirements.txt) - **low**: PYSEC-2026-1793 (pillow@10.0 · requirements.txt) - **low**: PYSEC-2026-1794 (pillow@10.0 · requirements.txt) - **low**: PYSEC-2026-457 (pillow@10.0 · 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 ai-engineering-from-scratch-zh maintained? GraphCanon rates ai-engineering-from-scratch-zh "Active" (82% maintenance signal from public GitHub metadata, computed today). Last push was 15 days ago. This is a recency heuristic, not a guarantee the project will stay maintained. ### Is ai-engineering-from-scratch-zh safe to use? Last scanned today (deps profile). Status: 83 low - 83 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 ai-engineering-from-scratch-zh as safe - review maintenance, provenance, and scan findings on this page before adopting. ### Is ai-engineering-from-scratch-zh a fork? No. ai-engineering-from-scratch-zh is not flagged as a fork in GitHub metadata at the time of the last refresh. ### Does ai-engineering-from-scratch-zh have known security vulnerabilities? Last scanned today (deps profile). Status: 83 low - 83 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 ai-engineering-from-scratch-zh 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 ai-engineering-from-scratch-zh? We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for ai-engineering-from-scratch-zh. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology). ### How does GraphCanon assess trust for ai-engineering-from-scratch-zh? 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/fancyboi999-ai-engineering-from-scratch-zh/trust`](/api/graphcanon/tools/fancyboi999-ai-engineering-from-scratch-zh/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/_