Brand Loom Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Brand Loom/Audit

Skill audit report

Brand Loom audit report.

Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.

BLOCKED · BLOCKNeeds reviewGenerated Jul 21, 2026Heuristic metadata audit

78

Audit

68

Trust

74

Quality

75

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

68

Manual review

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.

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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

FAIL

30

22 GitHub stars

Stars/forks activity

FAIL

32

22 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

3d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

36

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add hogan-tech/brand-loom

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

24

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/hogan-tech/brand-loom

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 · 13 review

Install path

92

PASS

npx skills add hogan-tech/brand-loom

Repository

88

PASS

https://github.com/hogan-tech/brand-loom

License

86

PASS

Apache-2.0

Maintenance

100

PASS

3d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

36

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

24

FIX

secrets or environment access, shell or command execution

Stars/forks activity

32

FIX

22 stars, 3 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

22 GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
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 hogan-tech/brand-loom

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: Python + Codex
Alternatives: 2

Open agent JSON

Signals

Audit score: 78/100
Quality: 74/100
Trust: 68/100
Install safety: 92/100
Permission surface: 24/100
Maintenance: 3d since push
Events: No events yet
GitHub stars: 22
Last push: Jul 17, 2026

Agent safety v2

38/100 · 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.

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: Shell or command execution, Secrets or environment access
Dependency or permission surface needs review

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