Openclaw Dashboard Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Openclaw Dashboard/Audit

Skill audit report

Openclaw Dashboard audit report.

A beautiful, zero-dependency command center for OpenClaw AI agents

BLOCKED · BLOCKNeeds reviewGenerated Jul 21, 2026Heuristic metadata audit

81

Audit

75

Trust

81

Quality

80

Security

88

Maintain

92

Install

OpenAgentSkill Trust Score

75

Strong shortlist

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

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Agent Skills What Is an Agent Skill?AI Agent Skills Tasks Skill Packs Best Skills Trending Stacks Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About OpenAgentSkill API llms.txt OpenAPI CLI Creator Kit X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

PrivacyBuilt for agent-native discovery

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

INFO

62

446 GitHub stars

Stars/forks activity

INFO

62

446 stars, 80 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

84

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

credential or environment access

Install availability

PASS

92

npx skills add mudrii/openclaw-dashboard

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

36

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/mudrii/openclaw-dashboard

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 passed · 7 review

Install path

92

PASS

npx skills add mudrii/openclaw-dashboard

Repository

88

PASS

https://github.com/mudrii/openclaw-dashboard

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

36

FIX

secrets or environment access, shell or command execution

Stars/forks activity

62

CHECK

446 stars, 80 forks; issue activity unavailable in current metadata

Adoption

68

INFO

446 GitHub stars

Warnings

Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Permission surface: secrets or environment access, shell or command execution

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 mudrii/openclaw-dashboard

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: block
Best agents: Go + AI Agents
Alternatives: 3

Open agent JSON

Signals

Audit score: 81/100
Quality: 81/100
Trust: 75/100
Install safety: 92/100
Permission surface: 36/100
Maintenance: 1mo since push
Events: 1 events
GitHub stars: 446
Last push: Jun 15, 2026

Agent safety v2

41/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Metadata combines secrets access with shell or command execution
High-risk permission hints: Shell or command execution, Secrets or environment access

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

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.

Secrets or environment access

high

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

High-risk permission hints: Shell or command execution, Secrets or environment access
Permission surface may require sandboxing

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