Skill audit report

Dicebear audit report.

DiceBear is an avatar library for designers and developers. 🌍

VERIFIED · ALLOWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

Stars, maintenance, license, docs, install safety, permission surface, 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

8.9K GitHub stars

Stars/forks activity

PASS

8.9K stars, 388 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

3d since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

network or browser surface

Install availability

PASS

npx skills add dicebear/dicebear

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, network or browser access

Repository evidence

PASS

https://github.com/dicebear/dicebear

Review status

PASS

AI review data available

Checks

Install and adoption review

10 passed · 1 review

Install path

PASS

npx skills add dicebear/dicebear

Repository

PASS

https://github.com/dicebear/dicebear

License

PASS

MIT

Maintenance

100

PASS

3d since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, network or browser access

Stars/forks activity

PASS

8.9K stars, 388 forks; issue activity unavailable in current metadata

Adoption

PASS

8.9K GitHub stars

Warnings

No major warnings detected 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.

Install path

Review the report before installing into production agents.

$ npx skills add dicebear/dicebear

Signals

Audit score: 94/100
Quality: 100/100
Trust: 92/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 3d since push
Events: No events yet
GitHub stars: 8.9K
Last push: Jun 14, 2026

Agent safety v2

86/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Verified listing
Safe-to-try audit
86/100 agent safety score

Network access

medium

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

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

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Dicebear audit report.

Stars, maintenance, license, docs, install safety, permission surface, and installability.

Install and adoption review

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