Skill audit report

developing-incremental-models Audit report.

Develops and troubleshoots dbt incremental models. Use when working with incremental materialization for: (1) Creating new incremental models (choosing strategy, unique_key, partition) (2) Task mentions "incremental", "append", "merge", "upsert", or "late arriving data" (3) Troubleshooting incremental failures (merge errors, partition pruning, schema drift) (4) Optimizing incremental performance or deciding table vs incremental Guides through strategy selection, handles common incremental gotchas.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 13, 2026Heuristic metadata audit
76
Audit
67
Trust
67
Quality
76
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

67
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

124 GitHub stars

Stars/forks activity

WARN

57

124 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

18d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

64

command execution surface, database surface

Install availability

PASS

92

npx skills add AltimateAI/data-engineering-skills --skill developing-incremental-models

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

64

shell or command execution, database access

Repository evidence

PASS

86

https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/dbt/developing-incremental-models

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 · 9 Needs review

Install path

92

PASS

npx skills add AltimateAI/data-engineering-skills --skill developing-incremental-models

Repository

88

PASS

https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/dbt/developing-incremental-models

License

86

PASS

MIT

Maintenance

100

PASS

18d since push

AI review

55

CHECK

No explicit setup/requirements section covering dbt version, supported warehouse adapters, or required packages/macros.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

64

CHECK

shell or command execution, database access

Stars/forks activity

57

FIX

124 stars, 11 forks; issue activity unavailable in current metadata

Adoption

68

INFO

124 GitHub stars

Warnings

  • No explicit setup/requirements section covering dbt version, supported warehouse adapters, or required packages/macros.
  • Examples use generic placeholders like `source('schema', 'table')`, which may be ambiguous for agents without real relation names.
  • Unique key verification examples only check the source table; duplicate keys in the target table can also cause merge failures and should be checked explicitly.
  • Quality score needs review
  • Stars/forks activity: 124 stars, 11 forks; issue activity unavailable in current metadata

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.

Compare nearby options

Related skills to audit next