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apollo-data-handling

Apollo.io data management and compliance. Use when handling contact data, implementing GDPR compliance, or managing data exports and retention. Trigger with phrases like "apollo data", "apollo gdpr", "apollo compliance", "apollo data export", "apollo data retention", "apollo pii".

73

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

The content is exceptionally actionable and concise, with complete executable code against real Apollo endpoints. Its main weaknesses are missing validation/feedback checkpoints for destructive and batch operations, and an unreferenced bundle file that breaks progressive-disclosure navigation.

Suggestions

Add explicit validation checkpoints to the erasure and retention workflows (e.g. confirm contact identity before delete, verify sequence removal succeeded, log/verify deletion counts vs. expected), since these are destructive batch operations.

Link the existing references/implementation-guide.md from the body (e.g. a 'See implementation-guide.md for full details' pointer) so the bundle file is discoverable and the inline code can be trimmed to an overview.

Trim the inline full implementations in favor of referencing the guide, keeping the SKILL.md as a concise overview with one-level-deep references.

DimensionReasoningScore

Conciseness

The body is lean: overview, prerequisites, five numbered steps with executable TypeScript, an error-handling table, and resources — no padded explanation of concepts Claude already knows. Not a level-2 'could be tightened' case since every section earns its place.

3 / 3

Actionability

Each step ships complete, copy-paste-ready TypeScript hitting real Apollo endpoints (e.g. /contacts/search, /people/match, /contacts/{id} delete, aes-256-gcm encrypt/decrypt), with interfaces and usage examples — fully executable, not pseudocode.

3 / 3

Workflow Clarity

Steps are clearly numbered and sequenced (find contact -> remove from sequences -> delete; retention search -> filter -> delete), but destructive batch operations (erasure, retention deletes) lack explicit validation checkpoints or verify-after feedback loops, which the rubric caps at 2 for destructive/batch work.

2 / 3

Progressive Disclosure

There is a well-organized reference file (references/implementation-guide.md) and inline resources, but the body never signals or links to that guide, and a large amount of inline implementation could live in the reference — references are present but not clearly signaled from the overview.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 is concise, third-person, and explicitly covers both capabilities and trigger conditions with Apollo-specific phrasing. It hits all rubric anchors at the top level with no padding.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'handling contact data', 'implementing GDPR compliance', 'managing data exports and retention' — rather than vague language.

3 / 3

Completeness

Both the 'what' (Apollo.io data management and compliance) and the 'when' (an explicit 'Use when...' clause with trigger phrases) are clearly present.

3 / 3

Trigger Term Quality

Provides explicit 'Trigger with phrases like' list (apollo data, apollo gdpr, apollo compliance, apollo data export, apollo data retention, apollo pii) covering natural terms a user would say.

3 / 3

Distinctiveness Conflict Risk

The Apollo-specific scope and apollo-prefixed trigger phrases give it a clear niche unlikely to conflict with other skills.

3 / 3

Total

12

/

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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