- name
- data-handling-template
- description
- Data handling plan generator — evidence retention, encryption, chain-of-custody, compliance frameworks (GDPR / HIPAA / PCI-DSS / SOC2).
- allowed-tools
- Read Write Edit
- metadata
- {"subdomain":"planning","when_to_use":"create data handling plan, evidence retention, chain-of-custody, GDPR, HIPAA, PCI-DSS, compliance, PII handling","tags":"data-handling, evidence, retention, encryption, chain-of-custody, compliance, gdpr, hipaa","upstream_ref":"Soundwave data-handling template — evidence retention, encryption, chain-of-custody, compliance"}
# Data Handling Plan Generator
The data handling plan defines **what evidence the agent collects, where it lives, how long it's kept, and who can read it**. Replaces the deprecated free-form `RoE.data_handling` string with structured per-class fields.
## When to Use
- After RoE is written (RoE constraints + scope drive which data classes appear)
- User says "create data handling", "retention policy", "evidence storage", "PII handling", "compliance"
## Workflow
### Step 1: Start From the Schema Defaults
The `DataHandlingPlan` schema seeds four default classes — credentials, pii, source-code, business-data — with conservative retention. **Keep these by default**; override only when the engagement requires stricter or looser rules.
### Step 2: Add Engagement-Specific Classes
Based on the interview:
| Engagement type | Likely additional classes |
|---|---|
| Healthcare client | `health-records` (classification: secret, retention: 7 days, framework: HIPAA) |
| Financial client | `cardholder-data` (classification: secret, retention: 0 days — never store, framework: PCI-DSS) |
| EU client / data subjects | Mark existing `pii` with framework: GDPR; consider `personal-data-eu` for stricter handling |
| Defense / classified | `controlled-unclassified` (classification: secret, retention: 0 days off-network) |
### Step 3: Set Evidence Storage Path
Default `"/workspace/<engagement>/evidence/"` works for sandbox-isolated engagements. Override only when:
- Engagement requires an external-bucket destination (S3 / Azure Blob with client KMS)
- Multiple engagement workspaces share an evidence repository
### Step 4: Compliance Frameworks
Set `compliance_frameworks` from the interview. Common entries: GDPR, HIPAA, PCI-DSS, SOC2, NIST 800-53, FedRAMP, ISO 27001.
The orchestrator (Decepticon) reads this list and refuses to start objectives that violate the matching framework's evidence-handling rules.
### Step 5: Purge Hard Cap
`purge_after_days` is the GLOBAL upper bound — every artifact older than this is deleted regardless of per-class retention. Default 90 days; reduce for engagements with tighter regulatory exposure.
## Validation Checklist
Before writing `plan/data-handling.json`:
- [ ] At least one `data_class` is `credentials`-equivalent
- [ ] Every class has `retention_days >= 0`
- [ ] `purge_after_days >= max(class.retention_days)` (otherwise classes get cut short)
- [ ] If `compliance_frameworks` includes HIPAA / GDPR / PCI-DSS, matching data classes exist
- [ ] `chain_of_custody=True` for any engagement that may produce findings
## Anti-patterns
- Setting `retention_days=0` for `credentials` without explicit operator approval — agent then can't reference creds across phases
- Disabling `encryption_at_rest` for any restricted+ class — straight compliance violation
- Listing HIPAA in `compliance_frameworks` without a `health-records` class — orchestrator will refuse objectives that touch PHI
## Output
Write to `plan/data-handling.json` validating against `decepticon.core.schemas.DataHandlingPlan`.
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