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testland/seed-data-curator

Builds a reproducible E2E seed dataset for the project's test environments - picks a representative user / org / data-product cross-section, generates the rows via the project's chosen factory library (FactoryBot / mimesis / Bogus / Faker + factory_boy), persists the dataset as a checked-in fixture (SQL dump / JSON / per-engine seed file), and wires it into the test bootstrap. Use when starting E2E coverage on a project that has no seed strategy, or when an existing seed has drifted.

72

Quality

91%

Does it follow best practices?

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SecuritybySnyk

Passed

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Overview
Quality
Evals
Security
Files

Quality

Content

92%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.

The body is well-organized, concise, and highly actionable with executable examples across local, CI, and ephemeral-env contexts. It includes explicit validation feedback loops for the batch/destructive seeding operation and uses a single well-signaled reference file appropriately, meeting the top anchors across all dimensions.

DimensionReasoningScore

Conciseness

Efficient, action-oriented prose that assumes competence (no 'what is a seed' filler) and uses tables/code judiciously; minor instances of explanation that could be trimmed (e.g. the explanatory paragraphs after the factory script) keep it just below 5.

4 / 5

Actionability

Fully executable, copy-paste-ready code in multiple languages/contexts (factory script, bash verify command, CI YAML) with specific predictable-email and deterministic-seed patterns covering the common cases.

5 / 5

Workflow Clarity

Five clearly sequenced steps with explicit validation checkpoints (the 'Verify' row-count/PII assertion with a feedback loop - run, check, fix factory, re-run) and a refresh-process checklist, satisfying the batch-operation feedback-loop requirement.

5 / 5

Progressive Disclosure

Clear overview structure with a single one-level-deep, well-signaled reference (references/seed-scripts.md for CI/ephemeral wiring) that exists as a real file; main content appropriately split between body and reference with easy navigation.

5 / 5

Total

19

/

20

Passed

Description

88%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 description that comprehensively names concrete actions and provides an explicit 'Use when' clause with specific triggers. It is slightly jargon-leaning, which marginally limits natural trigger-term coverage, but remains clearly distinguishable and complete.

DimensionReasoningScore

Specificity

Lists multiple concrete actions - 'picks a representative user / org / data-product cross-section', 'generates the rows via the project's chosen factory library', 'persists the dataset as a checked-in fixture', 'wires it into the test bootstrap' - covering the full workflow comprehensively.

5 / 5

Completeness

Explicitly answers both what (builds/reproducible seed dataset, generate, persist, wire in) and when ('Use when starting E2E coverage on a project that has no seed strategy, or when an existing seed has drifted') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural terms ('E2E coverage', 'seed strategy', 'seed has drifted') but slightly developer-jargon heavy and missing common lay synonyms or file extensions a user might casually say; not a full 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche (E2E seed datasets) with distinct triggers and minimal conflict risk; minor possible overlap with generic data-fixture or PII-generator skills keeps it just short of 5.

4 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 6 missing

Warning

Total

15

/

16

Passed

Reviewed

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