Skill audit report

Pandas AI audit report.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
86
Audit
86
Trust
94
Quality
88
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

86
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

100

24K GitHub stars

Recent maintenance

INFO

62

8mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

database surface

Install availability

PASS

92

npx skills add sinaptik-ai/pandas-ai

Repository evidence

PASS

86

https://github.com/sinaptik-ai/pandas-ai

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 4 review

Install path

92

PASS

npx skills add sinaptik-ai/pandas-ai

Repository

88

PASS

https://github.com/sinaptik-ai/pandas-ai

License

45

CHECK

Unknown

Maintenance

62

CHECK

8mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

database surface

Adoption

88

PASS

24K GitHub stars

Warnings

  • License is unclear
  • License clarity: Unknown

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.

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