aerospike-data-modeling Eval
============================

Status: failed
Score: 56/100
Risk: high
Decision: do_not_auto_install
Policy: block
Reason: Trust score: Sparse or weak trust signals. Treat this as an experimental candidate.

Install:
npx skills add aerospike/agent-skills --skill aerospike-data-modeling

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
- FAIL Trust score: Sparse or weak trust signals. Treat this as an experimental candidate.
- WARN Audit score: Needs review
- FAIL Agent safety gate: This skill should not be selected by an agent without explicit human security review.
- PASS License clarity: Apache-2.0
- FAIL Permission surface: secrets or environment access, shell or command execution

Warnings:
- Audit score: Needs review
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Skill instructs the agent to clone and follow instructions from an external repository (aerospike/data-modeling-guide), which is an injection surface if that repository is ever compromised; SKILL.md contains no explicit guardrails for treating fetched content as untrusted.
- Metadata timestamps are inconsistent with the current date (last_verified 2026-08-06, repository last updated 2026-08-27) and should be corrected or verified.
- Parsed frontmatter shows description as '>-' rather than the expanded description, indicating either a parsing quirk or malformed YAML that should be checked.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 14 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 instructs the agent to clone and follow instructions from an external repository (aerospike/data-modeling-guide), which is an injection surface if that repository is ever compromised; SKILL.md contains no explicit guardrails for treating fetched content as untrusted.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Metadata timestamps are inconsistent with the current date (last_verified 2026-08-06, repository last updated 2026-08-27) and should be corrected or verified.

URLs:
- Skill: https://www.openagentskill.com/skills/aerospike-aerospike-data-modeling
- Audit: https://www.openagentskill.com/skills/aerospike-aerospike-data-modeling/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=aerospike-aerospike-data-modeling