ada-ai-service-layer Eval
=========================

Status: review
Score: 65/100
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 ada-ai-service-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
- PASS Permission surface: 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
- SKILL.md lacks an explicit setup/prerequisites section describing how to connect and authenticate to the AI-HIVE MCP service, what environment variables are needed, and which permissions the agent should have.
- Prohibited actions are clearly listed, but the skill could more explicitly enumerate forbidden MCP tools rather than relying only on the generic tools/list discovery and business contract.
- The pilot plan does not include an explicit budget check before creating paid media tasks, so cost overruns are possible if the agent is given broad autonomy.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 4 GitHub stars
- Stars/forks activity: 4 stars, 1 forks; issue activity unavailable in current metadata

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 lacks an explicit setup/prerequisites section describing how to connect and authenticate to the AI-HIVE MCP service, what environment variables are needed, and which permissions the agent should have.
- No OpenAgentSkill engagement data yet
- Prohibited actions are clearly listed, but the skill could more explicitly enumerate forbidden MCP tools rather than relying only on the generic tools/list discovery and business contract.
- The pilot plan does not include an explicit budget check before creating paid media tasks, so cost overruns are possible if the agent is given broad autonomy.
- Quality score needs review

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