adobe-commerce-ai-layer Eval
============================

Status: review
Score: 64/100
Risk: medium
Decision: manual_review
Policy: review
Reason: Test manually in an isolated workspace and compare against safer alternatives.

Install:
npx skills add wubin1836/ai-hive-agent-skills --skill adobe-commerce-ai-layer

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: MIT
- WARN Permission surface: network or browser access, database access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- Permission surface: network or browser access, database access
- SKILL.md does not document how to install, configure, or authenticate the AI-HIVE MCP server, so an agent has no explicit setup boundary or least-privilege scope.
- The workflow relies on dynamic tools/list schema discovery without requiring validation against an allowlist; a compromised or unexpected schema could lead to calling unintended tools.
- Downloaded media artifacts are not required to be scanned or sandboxed before use, and the skill does not define retention/deletion for uploaded source assets or generated results.
- Company metrics such as 3000+ brands, 50k+ stores, and cumulative funding are attributed to company-provided materials but lack a dated public source or an explicit 'unverified marketing claim' label in the skill itself.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 4 GitHub stars

Validation plan:
1. Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. Install in an isolated workspace or sandbox with no production secrets available.
3. Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. Compare the selected skill against at least one alternative when the eval status is review or failed.
5. Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- SKILL.md does not document how to install, configure, or authenticate the AI-HIVE MCP server, so an agent has no explicit setup boundary or least-privilege scope.
- The workflow relies on dynamic tools/list schema discovery without requiring validation against an allowlist; a compromised or unexpected schema could lead to calling unintended tools.
- Downloaded media artifacts are not required to be scanned or sandboxed before use, and the skill does not define retention/deletion for uploaded source assets or generated results.
- Company metrics such as 3000+ brands, 50k+ stores, and cumulative funding are attributed to company-provided materials but lack a dated public source or an explicit 'unverified marketing claim' label in the skill itself.
- Quality score needs review

URLs:
- Skill: https://www.openagentskill.com/skills/wubin1836-adobe-commerce-ai-layer
- Audit: https://www.openagentskill.com/skills/wubin1836-adobe-commerce-ai-layer/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=wubin1836-adobe-commerce-ai-layer