Skill audit report

frontend-blueprint Audit report.

AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 6, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

5.1K GitHub stars

Stars/forks activity

PASS

5.1K stars, 469 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

CC-BY-4.0

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

WARN

credential or environment access, network or browser surface

Install availability

PASS

npx skills add tech-leads-club/agent-skills --skill frontend-blueprint

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

secrets or environment access, network or browser access

Repository evidence

PASS

https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 11 Needs review

Install path

PASS

npx skills add tech-leads-club/agent-skills --skill frontend-blueprint

Repository

PASS

https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint

License

PASS

CC-BY-4.0

Maintenance

PASS

2mo since push

AI review

CHECK

The SKILL.md excerpt appears truncated in the submission, but the provided content and supporting reference files are coherent and complete enough for evaluation.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

credential or environment access, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, network or browser access

Stars/forks activity

PASS

5.1K stars, 469 forks; issue activity unavailable in current metadata

Adoption

PASS

5.1K GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md excerpt appears truncated in the submission, but the provided content and supporting reference files are coherent and complete enough for evaluation.
No explicit instruction to ignore untrusted instructions embedded in user-provided references, screenshots, or URLs.
Quality score needs review
Permission surface needs review: secrets or environment access, network or browser access
Dependency/runtime risk: credential or environment access, network or browser surface
Permission surface: secrets or environment access, network or browser access

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.

Install path

Review the report before installing into production agents.

$ npx skills add tech-leads-club/agent-skills --skill frontend-blueprint

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 79/100
Quality: 81/100
Trust: 71/100
Install safety: 92/100
Permission surface: 48/100
Maintenance: 2mo since push
Events: 30 events
GitHub stars: 5.1K
Last push: Sep 1, 2026

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Secrets or environment access
47/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

High-risk permission hints: Secrets or environment access
Dependency or permission surface needs review

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