Skill audit report
Build production web scraping on Bedrock AgentCore Browser — connect Playwright over signed CDP WebSocket, drive extraction with an LLM agent over fixed tool primitives (navigate, scroll, extract-by-selector, screenshot), reuse login state via Browser Profiles with a DCV live-view login flow, detect login walls without false positives, and route through an external proxy. Use when scraping dynamic or login-gated sites (X/Twitter, Reddit, Instagram, YouTube, forums) with AgentCore Browser, when scraped results come back empty on lazy-loaded pages, when Google SSO fails silently in the cloud browser, or when a target site blocks AWS egress IPs.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
47 GitHub stars
Stars/forks activity
WARN48
47 stars, 32 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
21d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
credential or environment access, external package install surface
Install availability
PASS92
npx skills add aws-samples/sample-agent-skills-for-builders --skill agentcore-browser-web-scraping
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/aws-samples/sample-agent-skills-for-builders/tree/main/skills/agentcore-browser-web-scraping
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add aws-samples/sample-agent-skills-for-builders --skill agentcore-browser-web-scraping
Repository
88
https://github.com/aws-samples/sample-agent-skills-for-builders/tree/main/skills/agentcore-browser-web-scraping
License
86
MIT
Maintenance
100
21d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
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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Usable description available
Dependency risk
46
credential or environment access, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
48
47 stars, 32 forks; issue activity unavailable in current metadata
Adoption
42
47 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.