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netalertx-database-patterns

NetAlertX database architecture patterns. Use this when designing features that write to the Devices table, implementing audit/history logging, or choosing between trigger-based vs Python-hook approaches.

68

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

76%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

An exceptionally dense, competent patterns reference with concrete SQL/Python and clear decision guidance. Its main weakness is the absence of validation/feedback steps for the database and batch operations it describes, which caps workflow clarity.

Suggestions

Add a short validation/feedback step to the trigger pattern, e.g. after creating the trigger, run a test UPDATE and confirm a DevicesHistory row is inserted only for tracked fields, then revert.

Add a verification note for the event-sourced logging section showing how to confirm retention (e.g. a DELETE-by-timestamp check) so the destructive pruning path has an explicit checkpoint.

Consider moving the dated write-path inventory table into a references/ file (e.g. WRITE_PATHS.md) and keeping a one-line pointer in SKILL.md, since it is rot-prone and the largest single block.

DimensionReasoningScore

Conciseness

Dense and information-rich with no padding or basic-concept explanations; assumes Claude's competence and every section (write-path inventory, FIELD_SOURCE_MAP, attribution rules, trigger template, schema) earns its place.

5 / 5

Actionability

Provides copy-paste-ready SQL schema and a concrete FIELD_SOURCE_MAP plus actionable decision tables, but the trigger example is a template with placeholders ('SomeTable', 'TRACKED_FIELDS') and an ellipsis ('Repeat for each tracked field...'), leaving a minor gap from fully executable.

4 / 5

Workflow Clarity

The content is a pattern/decision catalog rather than a sequenced multi-step workflow, and because it governs database operations with batch (executemany) and destructive (DELETE) paths yet teaches no validation or verify-the-trigger feedback loop, workflow clarity is capped at 3 per the rubric.

3 / 5

Progressive Disclosure

Well-organized into clear headed sections with logical flow and no nested references; the minor gap is that the large dated write-path inventory ('as of 2026-07-04') and the DevicesHistory schema are inlined in SKILL.md rather than split into a reference file.

4 / 5

Total

16

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20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-targeted description with an explicit 'Use when' clause and concrete, niche-specific triggers. The only soft spot is the 'what' statement being a domain label rather than an action list.

DimensionReasoningScore

Specificity

Names the domain and three concrete use-cases ('designing features that write to the Devices table', 'implementing audit/history logging', 'choosing between trigger-based vs Python-hook approaches'), but the leading 'what' is a domain label ('NetAlertX database architecture patterns') rather than a list of concrete actions, leaving a minor coverage gap.

4 / 5

Completeness

Explicitly states both what ('NetAlertX database architecture patterns') and when ('Use when designing features that write to the Devices table, implementing audit/history logging, or choosing between trigger-based vs Python-hook approaches') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage for the target audience ('Devices table', 'audit/history logging', 'trigger-based vs Python-hook'), though it lacks synonyms or file extensions that would push it to comprehensive.

4 / 5

Distinctiveness Conflict Risk

A clear, narrow niche (NetAlertX Devices-table write patterns) with distinct triggers that would not plausibly fire for an unrelated skill.

5 / 5

Total

18

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20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
netalertx/NetAlertX
Reviewed

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