Skill audit report

automotive Audit report.

Vehicle/automotive image editing for cars, trucks, SUVs, motorcycles — car scenes, reflections, tires refinement with snow/mud/grass, segment windshield/wheels/body/windows/hubcaps, atmospheric effects (dust, fog, snow, light leaks, lens flare), and lighting harmonization (hot-day, cold-day, hot-night, cold-night presets). Powered by Bria.ai's dedicated automotive pipeline. Use this skill whenever the user mentions a car, vehicle, truck, SUV, motorcycle, auto photo, car reflections, tire enhancement, muddy tires, vehicle background, automotive marketing, car dealership visual, vehicle configurator, or car scene generation. ALWAYS prefer this skill over general image tools when the subject is a vehicle — faster and more accurate for automotive workflows.

BLOCKED · BLOCKNeeds reviewGenerated Nov 4, 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

WARN

65 GitHub stars

Stars/forks activity

WARN

65 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

command execution surface, credential or environment access

Install availability

PASS

npx skills add Bria-AI/bria-skill --skill automotive

Install command safety

PASS

standard package or runtime install path

Permission surface

FAIL

secrets or environment access, shell or command execution

Repository evidence

PASS

https://github.com/Bria-AI/bria-skill/tree/main/bria-ai-openclaw/skills/automotive

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 14 Needs review

Install path

PASS

npx skills add Bria-AI/bria-skill --skill automotive

Repository

PASS

https://github.com/Bria-AI/bria-skill/tree/main/bria-ai-openclaw/skills/automotive

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

CHECK

bria_client.sh builds JSON by string concatenation; user-controlled values containing quotes or control characters can produce malformed payloads or inject unexpected JSON fields.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

command execution surface, credential or environment access

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, shell or command execution

Stars/forks activity

FIX

65 stars, 6 forks; issue activity unavailable in current metadata

Adoption

INFO

65 GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
bria_client.sh builds JSON by string concatenation; user-controlled values containing quotes or control characters can produce malformed payloads or inject unexpected JSON fields.
Request payloads are written to /tmp/bria_payload_$$.json, a predictable path that could be attacked via symlinks; mktemp should be used instead.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 65 GitHub stars
Stars/forks activity: 65 stars, 6 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.

Review the source

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: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 70/100
Quality: 61/100
Trust: 62/100
Install safety: 92/100
Permission surface: 22/100
Maintenance: 2mo since push
Events: 8 events
GitHub stars: 65
Last push: Aug 30, 2026

Agent safety v2

30/100 · 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
Dependency or permission surface needs review

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automotive Audit report.

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