Skill audit report

Deepseek Ocr.Rs audit report.

Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
90
Audit
89
Trust
95
Quality
94
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

89
Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

2.2K GitHub stars

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add TimmyOVO/deepseek-ocr.rs

Repository evidence

PASS

86

https://github.com/TimmyOVO/deepseek-ocr.rs

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 2 review

Install path

92

PASS

npx skills add TimmyOVO/deepseek-ocr.rs

Repository

88

PASS

https://github.com/TimmyOVO/deepseek-ocr.rs

License

86

PASS

Apache-2.0

Maintenance

76

CHECK

4mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Adoption

88

PASS

2.2K GitHub stars

Warnings

No major warnings detected from available metadata.

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Compare nearby options

Related skills to audit next