Skill audit report
Propose UI/flow changes (or explain context) on a STRUCTURED DIAGRAM that the user reviews and Accepts/Declines on a hosted lazyweb.com page, then apply the accepted ones. Use when the user wants a reviewable set of proposed changes to a product's UI, architecture, or flow — anything where you'd otherwise list suggestions in chat and want the user to approve/reject each before you act. Trigger on: "propose changes", "suggest UI changes for review", "let me review your suggestions", "annotate this flow/diagram", "create a proposal", "review and approve these changes", "explain this architecture/flow visually".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
447 GitHub stars
Stars/forks activity
WARN57
447 stars, 36 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add aboul3ata/lazyweb-skill --skill lazyweb-propose-ui-changes
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/aboul3ata/lazyweb-skill/tree/main/skills/lazyweb-propose-ui-changes
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add aboul3ata/lazyweb-skill --skill lazyweb-propose-ui-changes
Repository
88
https://github.com/aboul3ata/lazyweb-skill/tree/main/skills/lazyweb-propose-ui-changes
License
86
MIT
Maintenance
100
19d since push
AI review
55
The skill instructs the agent to tell the user to run `curl -fsSL https://www.lazyweb.com/install.sh | sh`, which pipes a remote script directly into the shell. This is a security risk if the URL is compromised or if the user is tricked into running it. While it is a user action, the skill actively recommends it, which could be exploited in a social engineering scenario.
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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README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
57
447 stars, 36 forks; issue activity unavailable in current metadata
Adoption
68
447 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.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.