data-classification-assistant

SkillDev tools

Classifies data assets by sensitivity level (Public, Internal, Confidential, Restricted) and generates handling guidelines, retention policies, and access control recommendations. Validates classification against organizational policy and flags misclassifications. Use when asked to 'classify this data', 'what sensitivity level', 'data handling requirements', 'classification review', or 'label this dataset'.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the data-classification-assistant skill

What this skill tells your AI

The instructions your AI receives, as published by amazon-quick/amazon-quick-official-catalog in skills/security-compliance/data-classification-assistant/SKILL.md and read by ahel’s review.

Overview

Classifies data assets into one of four sensitivity levels based on organizational policy, regulatory context, and data content characteristics. Produces a structured classification decision record with handling guidelines, retention requirements, and access control recommendations. Validates existing labels and flags misclassifications with justification.

Workflow

<Definition - Sensitivity Levels> Four-tier classification scheme from least to most restrictive:

  • Public: Information explicitly approved for external distribution. No access restrictions required. Examples: published press releases, marketing materials on public websites, open-source documentation, public financial filings.
  • Internal: Information intended for general employee use but not for external release. Examples: internal announcements, org charts, general process documentation, non-sensitive meeting notes, internal tool guides.
  • Confidential: Information that could cause material harm to the organization or individuals if disclosed. Access limited to those with a documented business need. Examples: pre-release financial data, customer PII, employee performance records, proprietary algorithms, vendor contracts, strategic roadmaps.
  • Restricted: Information whose unauthorized disclosure would cause severe harm, regulatory violation, or legal liability. Strictest controls required. Examples: authentication credentials, encryption keys, regulated health records (PHI/HIPAA), payment card data (PCI-DSS), trade secrets, M&A materials, government classified information. </Definition - Sensitivity Levels>

<Definition - Handling Requirements> Controls and procedures required at each sensitivity level:

  • Public: No special handling. Standard backup and version control. No access restrictions. Retention per records schedule.
  • Internal: Store on corporate-managed systems only. No sharing to personal accounts or external parties without review. Standard access controls (corporate authentication). Retain per department schedule, default 3 years.
  • Confidential: Encryption at rest and in transit required. Access granted by data owner approval only. Audit logging of access events. Sharing requires DLP-approved channels. Retain per regulatory or contractual obligation, default 7 years. Annual access review required.
  • Restricted: Encryption at rest and in transit with organization-managed keys. Multi-factor authentication required for access. Real-time access monitoring and alerting. No copies outside approved vaults. Data loss prevention controls mandatory. Retain per specific regulatory mandate. Quarterly access review required. Incident response plan documented. </Definition - Handling Requirements>

<Workflow - Classification description="End-to-end data classification flow from intake through decision record delivery." tools=[file_read, file_read_pdf, file_write, open_in_session_tab] triggers=["classify this data", "what sensitivity level", "data handling requirements", "classification review", "label this dataset"]

  1. [Ask user] Gather the data description. If the user has not provided sufficient detail, ask about: data contents (field types, not actual values), source system, intended audience, geographic scope, regulatory context, and whether the data is derived from other classified assets. If a current_label was provided, note it for validation in step 5. If fails: If the description lacks the detail needed to classify, re-ask the user for the specific missing attributes before proceeding.

  2. [Agent] If policy_docs were provided, read them using file_read or file_read_pdf. Extract the relevant classification criteria, level definitions, and any domain-specific rules. Index key sections for citation in the decision record. If fails: If a policy document cannot be read, report the specific file and proceed using the built-in level definitions, noting that organizational policy was not available for validation.

  3. [Think] Evaluate the data description against the sensitivity level definitions. Consider each level from Public upward. Identify the lowest level whose handling requirements would adequately protect the asset. Apply Rule 2 (classify UP) if the assessment is ambiguous. Check for regulatory triggers (PII, PHI, PCI, financial data, trade secrets) that mandate a minimum level.

  4. [Think] Determine handling requirements, retention policy, and access control recommendations appropriate to the assigned level. Cross-reference with organizational policy if available. Note any requirements that exceed the standard level definition due to regulatory or contractual obligations.

  5. [Decide] If current_label was provided, compare it to the assessed level.

    • If they match: Note agreement in the decision record. No flag needed.
    • If current label is LOWER than assessed level: Flag as potential misclassification. Recommend immediate reclassification and escalation to the data owner.
    • If current label is HIGHER than assessed level: Note the discrepancy but do not recommend downgrade without user confirmation per Rule 6. Present the case for review.
  6. [Agent] Generate the classification decision record using the template below. Write it to a Markdown file using file_write, then present it to the user using open_in_session_tab. If fails: If the record cannot be written or opened, report the error, retry once, and present the record inline if the retry fails.

  7. [Ask user] Present the classification decision for review. Ask if the user wants to adjust scope, request clarification on any flags, or finalize the record. If fails: If the user does not respond with a clear decision, re-present the record and ask whether to adjust, clarify, or finalize.

  8. [Agent] If the user confirms, finalize the record. If adjustments were requested, return to the relevant step and regenerate. Save the final version. If fails: If the final version cannot be saved, report the write error and retry once, then present the record inline if the retry fails.

</Workflow - Classification>

<Template - Classification Decision Record>

# Data Classification Decision Record

## Asset Information
- **Asset name:** {{asset_name}}
- **Description:** {{data_description}}
- **Source system:** {{source_system}}
- **Data owner:** {{data_owner}}
- **Classification date:** {{date}}
- **Classified by:** AI-assisted (requires data owner approval)

## Classification Decision
- **Assigned level:** {{sensitivity_level}}
- **Confidence:** {{High | Medium - classify UP applied}}
- **Policy basis:** {{policy_section_or_principle}}

## Rationale
{{Narrative explanation of why this level was assigned, including regulatory triggers and any ambiguity considerations.}}

## Handling Requirements
- **Storage:** {{storage_requirements}}
- **Encryption:** {{encryption_requirements}}
- **Access control:** {{access_control_model}}
- **Sharing:** {{approved_sharing_channels}}
- **Audit:** {{audit_logging_requirements}}

## Retention Policy
- **Retention period:** {{retention_period}}
- **Retention basis:** {{regulatory_or_policy_basis}}
- **Disposal method:** {{disposal_method}}

## Access Control Recommendations
- **Approved roles:** {{list_of_roles_or_groups}}
- **Authentication:** {{authentication_requirements}}
- **Review cadence:** {{access_review_frequency}}

## Flags and Notes
{{Any misclassification flags, temporal sensitivity notes, jurisdiction considerations, or items requiring data owner review.}}

## Approval
- **Status:** Pending data owner review
- **Approved by:** _______________
- **Approval date:** _______________

</Template - Classification Decision Record>

Signals

GitHub stars
49
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
data-classification-assistant
Source
github.com/amazon-quick/amazon-quick-official-catalog