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axiom-audit-grdb-performance

Use when the user mentions GRDB performance review, slow GRDB queries, app-group database setup audit, a ValueObservation that stopped updating, or pre-release GRDB scan.

64

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./axiom-codex/skills/axiom-audit-grdb-performance/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

This is a high-quality, executable auditor skill: gated detectors with concrete grep/Read/fix triples, a phased workflow with explicit validation checkpoints, and disciplined false-positive handling. Minor gains are possible in conciseness and by co-locating reference material rather than pointing to external skill docs.

DimensionReasoningScore

Conciseness

The body is dense but almost entirely domain-specific knowledge Claude would not already know (gated detectors, GRDB version thresholds, 0xDEAD10CC semantics); a few explanatory passages could be trimmed, but it largely assumes competence and avoids generic concept primers, sitting just below the lean anchor.

4 / 5

Actionability

Every detector ships exact grep patterns, Read-based verification steps, and copy-paste-ready fix code (e.g. `execute(literal: "WHERE id = \(id)")`, `try db.notifyChanges(in: <Table>.all())`), covering the common cases concretely.

5 / 5

Workflow Clarity

The audit is a clear five-phase sequence with explicit gating checkpoints, mandatory Read verification before reporting, false-positive and limitation call-outs, and compound-severity feedback logic — exactly the validate-then-report feedback loop the rubric rewards for batch/database operations.

5 / 5

Progressive Disclosure

Content is well organized into phases with one-level-deep references to external `axiom-data` skill docs (e.g. `skills/grdb-performance.md §6`); there are no local bundle files to split into, so the structure is good, though the references point outside this skill's own bundle rather than to co-located reference files.

4 / 5

Total

18

/

20

Passed

Description

61%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.

The description has strong, natural trigger phrasing and a clear niche, but it omits the 'what' — it never states that the skill detects GRDB/SQLite performance and correctness anti-patterns. Adding a concise capability statement before the 'Use when' clause would lift completeness and specificity.

Suggestions

Lead with a concrete 'what' clause, e.g. 'Detects GRDB and SQLite performance and correctness anti-patterns in shipped Swift code.', before the 'Use when' trigger list, to explicitly answer both what and when.

Add a couple of natural synonyms/file cues users might say (e.g. 'DatabasePool', 'app-group database', 'WAL') to broaden trigger coverage from 4 toward 5.

Keep the existing third-person voice, but ensure the opening verb ('Detects', 'Audits') makes the skill's action explicit so specificity moves above 3.

DimensionReasoningScore

Specificity

The description names the domain (GRDB performance) and enumerates concrete triggering situations ('slow GRDB queries, app-group database setup audit, a ValueObservation that stopped updating, or pre-release GRDB scan'), but it never states what the skill actually does (detect anti-patterns), so it sits at the 'names domain, some concrete actions' level rather than a comprehensive action list.

3 / 5

Completeness

The 'when' is explicitly and well covered by the 'Use when...' clause, but the 'what' is only weakly implied — it never says the skill audits or detects anti-patterns, so it matches the 'clear when, missing/weak what' anchor rather than the both-present anchors.

3 / 5

Trigger Term Quality

Natural user-facing phrases like 'GRDB performance review', 'slow GRDB queries', 'ValueObservation that stopped updating', and 'pre-release GRDB scan' are realistic things a developer would say; a few synonyms or version-specific terms are missing, keeping it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

The GRDB-specific triggers carve a clear niche with minimal conflict risk against unrelated skills; only a small overlap risk remains with sibling DB auditors (core-data, swiftdata, schema-auditor), which the body later disambiguates.

4 / 5

Total

14

/

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
CharlesWiltgen/Axiom
Reviewed

Table of Contents

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