Skill audit report

aerospike-data-modeling Audit report.

Designs a new Aerospike data model from requirements, producing a schema guide and schema summary: record granularity, key design, bin structure, relationship and consolidation decisions, and index strategy. Use when no schema exists yet, when redesigning an existing model, or when reviewing a proposed schema for structural defects. This is design-time work that precedes code. For writing or reviewing client code against a model that already exists, or for client APIs, policies, CDT operations, and expression usage, use aerospike-development instead. Core database only; not Aerospike Graph.

BLOCKED · BLOCKNeeds reviewGenerated Nov 9, 2026Heuristic metadata audit
66
Audit
55
Trust
55
Quality
66
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

55
High review required

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

FAIL

30

14 GitHub stars

Stars/forks activity

FAIL

32

14 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

28

command execution surface, credential or environment access

Install availability

PASS

92

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

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

18

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 17 Needs review

Install path

92

PASS

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

Repository

88

PASS

https://github.com/aerospike/agent-skills/tree/main/skills/aerospike-data-modeling

License

86

PASS

Apache-2.0

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

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.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

28

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

18

FIX

secrets or environment access, shell or command execution

Stars/forks activity

32

FIX

14 stars, 7 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

14 GitHub stars

Warnings

  • 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
  • Stars/forks activity: 14 stars, 7 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.

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