Skill audit report
Pydoll is a library for automating chromium-based browsers without a WebDriver, offering realistic interactions.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
7.1K GitHub stars
Stars/forks activity
PASS88
7.1K stars, 407 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add autoscrape-labs/pydoll
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/autoscrape-labs/pydoll
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add autoscrape-labs/pydoll
Repository
88
https://github.com/autoscrape-labs/pydoll
License
86
MIT
Maintenance
100
19d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
88
7.1K stars, 407 forks; issue activity unavailable in current metadata
Adoption
88
7.1K GitHub stars
Warnings
No major warnings 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.