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juicebox-data-handling

Juicebox data privacy and GDPR. Trigger: "juicebox data privacy", "juicebox gdpr".

58

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The content is highly actionable with executable code and useful tables, but it lacks a sequenced validation-gated workflow for its batch import and destructive deletion, and it fails to surface the existing implementation-guide.md reference.

Suggestions

Wire validateProfile into importPeopleDataset as an explicit checkpoint and sequence the GDPR deletion as a validate->purge->re-verify workflow to lift workflow_clarity.

Link references/implementation-guide.md from the body (e.g. a "## Implementation guide" section) and move the full code listings there, keeping SKILL.md as an overview to improve progressive_disclosure.

Trim the Overview's explanation of generic GDPR/CCPA/encryption concepts, keeping only Juicebox-specific retention and handling rules to improve conciseness.

DimensionReasoningScore

Conciseness

The body is mostly code and tables that assume Claude's competence, but the Overview explains concepts Claude already knows (e.g. that profile data is governed by GDPR/CCPA and that contact data needs encryption), so it could be tightened rather than earning the lean score-3 anchor.

2 / 3

Actionability

The Data Import, Data Export, and Data Validation sections provide complete, executable TypeScript with real interfaces, fetch calls, sanitization, and regex validation, matching the score-3 anchor for fully executable, copy-paste-ready code.

3 / 3

Workflow Clarity

Sections exist and a validateProfile function is defined, but the batch import never calls validation as a checkpoint and the destructive deletion steps have no sequenced workflow with validation, so per the rubric's batch/destructive rule workflow clarity is capped at 2.

2 / 3

Progressive Disclosure

The body has section structure, but the bundled references/implementation-guide.md is never linked or signaled from the body, and full code implementations that could live in the reference are inlined, matching the score-2 anchor of content that should be separate being inline with references not clearly signaled.

2 / 3

Total

9

/

12

Passed

Description

72%

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 provides strong, explicit trigger guidance and a clearly distinctive niche, but it names only a topic rather than concrete actions, leaving the "what does this do" half of completeness weak.

Suggestions

Replace the topic-only label with concrete verbs, e.g. "Classifies, encrypts, and audits Juicebox people data for GDPR/CCPA compliance" to raise specificity and completeness.

Keep the explicit Trigger clause but pair it with an explicit "Use when..." clause that ties the actions to the trigger situations.

Add the concrete compliance actions (consent tracking, right-to-deletion, field-level encryption) into the description so the capability set is explicit.

DimensionReasoningScore

Specificity

The phrase "Juicebox data privacy and GDPR" names a concrete, specific domain but lists no actions or verbs describing what the skill does, falling short of the score-3 anchor that requires multiple concrete actions while still being more specific than the vague score-1 example "Helps with documents".

2 / 3

Completeness

The "when" is explicitly answered via the Trigger clause, but the "what" is only a topic label ("Juicebox data privacy and GDPR") rather than a description of actions performed, so it does not clearly answer both halves as required for a 3.

2 / 3

Trigger Term Quality

The explicit Trigger clause provides natural phrases a user would say ("juicebox data privacy", "juicebox gdpr"), giving good coverage of natural terms matching the score-3 anchor.

3 / 3

Distinctiveness Conflict Risk

The narrow niche (Juicebox plus GDPR/privacy) with distinct triggers makes it clearly distinguishable and unlikely to fire for the wrong skill, matching the score-3 anchor for a clear niche with distinct triggers.

3 / 3

Total

10

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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