Prowler Compliance

When to Use

Use this skill when:

• Creating a new compliance framework for any provider — decide universal vs legacy first (see below)
• Syncing an existing framework with an upstream source of truth (CIS, FINOS CCC, CSA CCM, NIST, ENS, etc.)
• Adding requirements to existing frameworks, or extending a universal framework to a new provider
• Mapping checks to compliance controls
• Adding ConfigRequirements guardrails so configurable checks can't silently satisfy a requirement with a loosened config
• Auditing existing check mappings as a cloud auditor ("are these mappings correct?", "which checks apply?", "review the mappings")
• Adding a new legacy output formatter (table dispatcher + per-provider classes + CSV models)
• Fixing JSON bugs: duplicate IDs, empty Version, wrong Section, stale check refs, inconsistent FamilyName, padded tangential check mappings
• Investigating why a finding/check isn't showing under the expected compliance framework in the UI
• Understanding compliance framework structures and attributes

The authoritative contributor doc is docs/developer-guide/security-compliance-framework.mdx — keep this skill and that doc consistent when either changes. For reviewing a compliance PR, use the sister skill prowler-compliance-review instead.

Universal vs Legacy: The First Decision

Prowler supports two JSON schemas. Choosing wrong means unnecessary Python code, so decide this before anything else. At load time both converge: legacy files are adapted into the universal ComplianceFramework model (adapt_legacy_to_universal()), so the difference is about authoring cost and capabilities, not about what the rest of Prowler sees.

Side-by-side comparison

	Universal (recommended for new frameworks)	Legacy provider-specific
File location	prowler/compliance/<framework>.json (top level)	prowler/compliance/<provider>/<framework>_<version>_<provider>.json
Providers	Any number, one file (checks dict keyed by provider)	Exactly one provider per file (one file per provider to multi-cover)
Key style	lowercase (framework, requirements, checks)	Capitalized (Framework, Requirements, Checks)
Attribute schema	Declared in the JSON itself via attributes_metadata, validated at load	Pydantic class per framework family in compliance_models.py (code change for new shapes)
Attributes per requirement	One flat dict (attributes: {...})	List of objects (Attributes: [{...}]) — only Attributes[0] is used downstream
Table/CSV/OCSF output	Data-driven from outputs.table_config — zero Python changes	Formatter package + registrations in compliance.py, __main__.py, export.py
Guardrails field	config_requirements (+ mandatory Provider per constraint)	ConfigRequirements (Provider omitted)
Loader behavior on error	Lenient: logs + skips file (load_compliance_framework_universal)	Fail-fast: sys.exit(1) (load_compliance_framework)
Loaded by	Only get_bulk_compliance_frameworks_universal()	Both loaders (Compliance.get_bulk() + universal, via adapter)
Shipped examples	cis_controls_8.1.json, csa_ccm_4.0.json, dora_2022_2554.json	Everything else (~105 files across 11 providers)

When to use which

Use universal when (any of these):

• The framework is new to Prowler — no existing attribute class, no existing formatter. This is the default: zero Python changes needed.
• The framework spans (or will span) more than one provider — DORA, CSA CCM, CIS Controls. One file covers all providers; extending to a new provider is a one-line checks edit.
• The attribute shape is unique to this framework — declare it in attributes_metadata instead of adding a Pydantic class to the Union.

Use legacy only when extending an existing legacy family:

• A new version of a shipped legacy framework (CIS 8.0 for AWS → new cis_8.0_aws.json, same CIS_Requirement_Attribute, same cis/ formatter).
• An existing legacy framework for a new provider (ENS for m365 → new ens_rd2022_m365.json + ens_m365.py transformer).
• Consistency with the family matters more than the universal benefits — a lone cis_8.0_aws in universal format while 20+ CIS files stay legacy would fragment the family.

Never: start a brand-new single-provider framework as legacy "because it's only AWS today". Universal handles single-provider fine (the checks dict just has one key) and you skip 3 output files + 3 registrations.

The same requirement in both schemas

Universal (prowler/compliance/my_framework_1.0.json):

{
  "framework": "My-Framework",
  "name": "My Framework 1.0",
  "version": "1.0",
  "description": "...",
  "attributes_metadata": [
    {"key": "Section", "type": "str", "required": true},
    {"key": "Service", "type": "str"}
  ],
  "outputs": {"table_config": {"group_by": "Section"}},
  "requirements": [
    {
      "id": "MF-1.1",
      "name": "Root MFA",
      "description": "Root account must have MFA enabled.",
      "attributes": {"Section": "IAM", "Service": "iam"},
      "checks": {
        "aws": ["iam_root_mfa_enabled"],
        "azure": []
      }
    }
  ]
}

Legacy (prowler/compliance/aws/my_framework_1.0_aws.json — plus a second file per extra provider, plus formatter + registrations):

{
  "Framework": "My-Framework",
  "Name": "My Framework 1.0 for AWS",
  "Version": "1.0",
  "Provider": "AWS",
  "Description": "...",
  "Requirements": [
    {
      "Id": "MF-1.1",
      "Name": "Root MFA",
      "Description": "Root account must have MFA enabled.",
      "Attributes": [
        {"ItemId": "MF-1.1", "Section": "IAM", "Service": "iam"}
      ],
      "Checks": ["iam_root_mfa_enabled"]
    }
  ]
}

Same control, but the universal file already covers Azure, validates its own attribute schema, and renders table/CSV/OCSF with no code. Field-by-field references for each schema follow below.

Architecture (Mental Model)

Prowler compliance is a four-layer system. Bugs usually happen where one layer doesn't match another, so know all four before touching anything.

Layer 1: SDK / Core Models — prowler/lib/check/

All in Pydantic v1 (from pydantic.v1 import ...). Three model groups live in compliance_models.py:

Legacy tree — Compliance → Compliance_Requirement / Mitre_Requirement:

• One *_Requirement_Attribute class per framework family. Registered today (Union order matters): ASDEssentialEight, CIS, ENS, ISO27001_2013, AWS_Well_Architected, KISA_ISMSP, Prowler_ThreatScore, CCC, C5Germany, CSA_CCM, STIG (Okta IDaaS), and Generic_Compliance_Requirement_Attribute as fallback.
• Generic MUST stay LAST in Compliance_Requirement.Attributes: list[Union[...]] — Pydantic v1 tries union members in order; Generic first would swallow every framework-specific attribute. NIST 800-53/CSF, PCI DSS, GDPR, HIPAA, SOC2, FedRAMP, SecNumCloud etc. intentionally use Generic.
• A root_validator rejects empty Framework, Provider or Name.
• MITRE uses the separate Mitre_Requirement model (Tactics, SubTechniques, Platforms, TechniqueURL at requirement top level, per-provider Mitre_Requirement_Attribute_{AWS,Azure,GCP}).

Universal tree — ComplianceFramework → UniversalComplianceRequirement:

• Flat attributes: dict per requirement, schema declared in attributes_metadata (key, label, type, enum, required, enum_display, enum_order, output_formats). A root_validator rejects missing required keys, unknown keys (drift guard), enum violations, and int/float/bool type mismatches. If attributes_metadata is omitted, no validation runs.
• checks: dict[provider, list[check_id]] — the provider list of the framework is derived from these keys (get_providers() / supports_provider()); the top-level provider field is only a fallback.
• outputs.table_config (group_by, split_by, scoring, labels) drives the CLI table; outputs.pdf_config exists in the model but is not consumed by the API PDF pipeline yet (see Layer 4).

Guardrails — Compliance_Requirement_ConfigConstraint:

• Fields Check, ConfigKey, Operator (lte|gte|eq|in|subset|superset), Value, optional Provider (required in universal multi-provider files).
• A root_validator rejects Value/Operator type mismatches at load time.
• Evaluation is centralized in prowler/lib/check/compliance_config_eval.py (evaluate_config_constraints, apply_config_status, get_effective_status, CONFIG_NOT_VALID_PREFIX = "Configuration not valid for this requirement."), shared by CSV/OCSF/table outputs and the API backend. A violated constraint forces the requirement to FAIL and prepends the reason to status_extended. Constraints whose ConfigKey is absent from audit_config are skipped (defaults assumed compliant).

Loaders:

• Compliance.get_bulk(provider) — legacy: scans only prowler/compliance/{provider}/ (+ external JSONs via the prowler.compliance entry-point group). Does NOT see top-level universal files.
• get_bulk_compliance_frameworks_universal(provider) — scans both the top-level prowler/compliance/ and every provider subdirectory, adapting legacy files via adapt_legacy_to_universal() (flattens Attributes[0] to a dict, wraps Checks as {provider: [...]}, infers attributes_metadata). Also loads external universal frameworks via the prowler.compliance.universal entry-point group (built-ins win collisions).
• get_check_compliance(finding, provider_type, bulk_checks_metadata) lives in prowler/lib/outputs/compliance/compliance_check.py (not in lib/check/compliance.py). It builds the per-finding dict keyed f"{Framework}-{Version}" only when Version is non-empty — an empty Version silently produces the key "{Framework}" and breaks downstream filters and tests.
• prowler/lib/check/compliance.py now contains only update_checks_metadata_with_compliance().

Layer 2: JSON Catalogs — prowler/compliance/

See "Compliance Catalog Coverage" below.

Layer 3: Output Formatters — prowler/lib/outputs/compliance/

Universal path (no Python needed per framework):

• universal/universal_table.py — get_universal_table(), renders the CLI table from outputs.table_config + attributes_metadata.
• universal/universal_output.py — UniversalComplianceOutput, builds the CSV Pydantic model dynamically from attributes_metadata.
• universal/ocsf_compliance.py — OCSFComplianceOutput; OCSF output is always generated for universal frameworks regardless of --output-formats.
• Orchestrated by process_universal_compliance_frameworks() in compliance.py, which runs before any legacy dispatch and removes the processed frameworks from the set.

Legacy path — per-framework directory, usually:

{framework}/
├── __init__.py
├── {framework}.py            # get_{framework}_table() summary-table function
├── {framework}_{provider}.py # One ComplianceOutput subclass per provider
└── models.py                 # One Pydantic CSV row model per provider

Directories today: asd_essential_eight, aws_well_architected, c5, ccc, cis, cisa_scuba, ens, generic, iso27001, kisa_ismsp, mitre_attack, okta_idaas_stig, prowler_threatscore, universal. Known deviations (don't "fix" them without a reason): iso27001/ has no table file (falls to the generic table), aws_well_architected/ has no per-provider files, cisa_scuba/ only ships googleworkspace.

• CSV writers emit ;-delimited files with UPPERCASE headers (ComplianceOutput.batch_write_data_to_file). Field names in models.py are public API — renaming breaks downstream consumers.
• Circular import rule: the table file ({framework}.py) must not import Finding directly or transitively (compliance.compliance → table module → ComplianceOutput → Finding → get_check_compliance → cycle). Keep table files bare (colorama, tabulate, prowler.config.config); when a module genuinely needs both, use if TYPE_CHECKING: or function-local imports (see universal_output.py / process_universal_compliance_frameworks).
• Legacy table functions have no docstrings; the universal ones do. Match the style of the file family you're touching.
• Dispatcher display_compliance_table() in compliance.py order: universal (table_config) first → cis_ → ens_ → mitre_attack → kisa → prowler_threatscore_ → c5_ → ccc_ → asd_essential_eight (substring) → okta_idaas_stig → else provider hook (provider.display_compliance_table(), may raise NotImplementedError) → get_generic_compliance_table(). iso27001, aws_well_architected and cisa_scuba ride the fallback on purpose.

Layer 4: API / UI

• API lazy loaders: api/src/backend/api/compliance.py — LazyComplianceTemplate / LazyChecksMapping (per-provider lazy caches over get_bulk_compliance_frameworks_universal, with Gunicorn background warm-up).
• API CSV export dispatch: COMPLIANCE_CLASS_MAP in api/src/backend/tasks/jobs/export.py, consumed from tasks/tasks.py. It is a dict provider → [(predicate, exporter_class)] with GenericCompliance as fallback. Predicates mix startswith for multi-version families (cis_, ens_, iso27001_, ccc_, cisa_scuba_, ...) and exact name == ... for true singletons (mitre_attack_aws, prowler_threatscore_*, asd_essential_eight_aws — and inconsistently c5_azure/c5_gcp, while aws uses startswith("c5_")). Rule of thumb: if the framework can ever grow versions or variants, use startswith.
• API overview ingestion: create_compliance_requirements() in api/src/backend/tasks/jobs/scan.py builds per-region rows from the lazy template and persists ComplianceRequirementOverview (COPY with bulk-create fallback) plus ComplianceOverviewSummary.
• API PDF reports: api/src/backend/tasks/jobs/reports/ — hardcoded FRAMEWORK_REGISTRY (own FrameworkConfig dataclass, NOT the SDK PDFConfig) with one generator class per framework. Only prowler_threatscore, ens, nis2, csa_ccm and cis have PDFs today; adding one means a generator class + registry entry + wiring in report.py.
• UI mapper routing: ui/lib/compliance/compliance-mapper.ts — getComplianceMappers() keyed by the JSON's framework value (e.g. "CIS", "CIS-Controls", "DORA", "Okta-IDaaS-STIG"). Unregistered frameworks fall back to the generic mapper + GenericCustomDetails automatically — a dedicated mapper/detail panel is a first-class upgrade, not a requirement to render.
• UI grouping varies per mapper: generic/cis group by Section/SubSection, iso by Category, ccc by FamilyName. All read attributes[0] — inconsistent values within one JSON become separate tree branches, so normalize before shipping.
• UI types: ui/types/compliance.ts — one *AttributesMetadata interface per framework, added to the AttributesItemData metadata union.
• UI icons: ui/components/icons/compliance/ + IconCompliance.tsx. Registration is an ordered substring match (COMPLIANCE_LOGOS): put framework-specific keywords before generic ones (nist before nis2, cisa before cis; aws deliberately last).

The CLI Pipeline (end-to-end)

prowler aws --compliance cis_7.0_aws          # framework key = JSON basename
    ↓
Compliance.get_bulk("aws")                      # legacy frameworks
get_bulk_compliance_frameworks_universal("aws") # legacy (adapted) + universal
    ↓
update_checks_metadata_with_compliance()        # attaches compliance to CheckMetadata
    ↓
execute_checks() → Finding objects
    ↓
get_check_compliance(finding, "aws", bulk)      # dict "{Framework}-{Version}" → [req_ids]
    ↓
process_universal_compliance_frameworks()       # universal: CSV + OCSF, then removed from set
per-provider elif branches in __main__.py       # legacy: AWSCIS(...).batch_write_data_to_file()
    ↓
display_compliance_table()                      # universal table first, then legacy elifs,
                                                # then generic fallback

---

Compliance Catalog Coverage

Counts as of 2026-07 (109 JSON files). Regenerate before trusting them:

for d in prowler/compliance/*/; do printf "%s: %s\n" "$(basename $d)" "$(ls $d*.json 2>/dev/null | wc -l)"; done
ls prowler/compliance/*.json   # universal, top-level

Universal (top-level, multi-provider): cis_controls_8.1.json (18 providers), csa_ccm_4.0.json (aws/azure/gcp/alibabacloud/oraclecloud), dora_2022_2554.json (aws/azure/gcp/alibabacloud/cloudflare).

Legacy per-provider (families, not exhaustive versions):

Provider	#	Framework families
aws	45	CIS 1.4–7.0, NIST 800-53 r4/r5, NIST 800-171 r2, NIST CSF 1.1/2.0, PCI 3.2.1/4.0, ISO 27001 2013/2022, HIPAA, GDPR, SOC2, FedRAMP low/moderate r4 + 20x KSI low, ENS RD2022, MITRE ATT&CK, C5, CCC, CISA, FFIEC, RBI, Well-Architected (security/reliability), FTR, FSBP, AWS AI Security Framework, AWS Account Security Onboarding, Audit Manager Control Tower, GxP 21 CFR 11 / EU Annex 11, KISA ISMS-P 2023 (en+ko), NIS2, ASD Essential Eight, SecNumCloud 3.2, Prowler ThreatScore
azure	19	CIS 2.0–6.0, ISO 27001 2022, ENS RD2022, MITRE ATT&CK, PCI 4.0, HIPAA, SOC2, NIS2, RBI, C5, CCC, FedRAMP 20x KSI low, SecNumCloud 3.2, Prowler ThreatScore
gcp	17	CIS 2.0–5.0, ISO 27001 2022, ENS RD2022, MITRE ATT&CK, PCI 4.0, HIPAA, SOC2, NIS2, RBI, C5, CCC, FedRAMP 20x KSI low, SecNumCloud 3.2, Prowler ThreatScore
kubernetes	8	CIS 1.8–2.0.1, ISO 27001 2022, PCI 4.0, Prowler ThreatScore
m365	5	CIS 4.0/6.0/7.0, ISO 27001 2022, Prowler ThreatScore
alibabacloud	3	CIS 2.0, SecNumCloud 3.2, Prowler ThreatScore
oraclecloud	3	CIS 3.0/3.1, SecNumCloud 3.2
github	2	CIS 1.0/1.2.0
googleworkspace	2	CIS 1.3, CISA SCuBA 0.6
okta	1	Okta IDaaS STIG V1R2
nhn	1	ISO 27001 2022

Providers with a compliance directory but no frameworks yet: cloudflare, iac, linode, llm, mongodbatlas, openstack, stackit. Provider keys inside universal checks dicts must match directory names under prowler/providers/ (lowercase).

---

Universal Schema Reference

Full spec in docs/developer-guide/security-compliance-framework.mdx. Skeleton:

{
  "framework": "DORA",
  "name": "Digital Operational Resilience Act (DORA) 2022/2554",
  "version": "2022/2554",
  "description": "Shown in --list-compliance and PDF reports.",
  "icon": "dora",
  "attributes_metadata": [
    {"key": "Pillar", "label": "Pillar", "type": "str", "required": true,
     "enum": ["ICT Risk Management", "..."],
     "output_formats": {"csv": true, "ocsf": true}},
    {"key": "Article", "type": "str", "required": true}
  ],
  "outputs": {
    "table_config": {"group_by": "Pillar"},
    "pdf_config": {"group_by_field": "Pillar", "charts": ["..."]}
  },
  "requirements": [
    {
      "id": "DORA-Art5",
      "name": "Governance and organisation",
      "description": "Requirement text verbatim from the source.",
      "attributes": {"Pillar": "ICT Risk Management", "Article": "Article 5"},
      "checks": {
        "aws": ["iam_no_root_access_key"],
        "azure": [],
        "gcp": []
      },
      "config_requirements": [
        {"Check": "iam_user_accesskey_unused", "Provider": "aws",
         "ConfigKey": "max_unused_access_keys_days", "Operator": "lte", "Value": 45}
      ]
    }
  ]
}

Universal fields, top level (ComplianceFramework)

Field	Type	Required	Notes
framework	string	Yes	Short identifier (DORA, CSA-CCM, CIS-Controls). This is the key the UI mapper routes on.
name	string	Yes	Human-readable full name.
version	string	No (never leave empty)	Framework version/edition (8.1, 2022/2554).
description	string	Yes	Shown in --list-compliance and PDF reports.
provider	string	No	Fallback only — the effective provider list is derived from checks keys across requirements (get_providers()).
icon	string	No	Short icon slug.
attributes_metadata	array	No (strongly recommended)	Declares the schema of every attributes key. If omitted, no attribute validation runs at all.
outputs	object	No	table_config (CLI table) + pdf_config (modeled, not yet consumed by the API).
requirements	array	Yes	List of requirement objects (below).

Universal fields, per requirement (UniversalComplianceRequirement)

Field	Type	Required	Notes
id	string	Yes	Unique within the framework.
description	string	Yes	Requirement text verbatim from the source.
name	string	No	Short title.
attributes	dict	No (default {})	Flat dict; every key must be declared in attributes_metadata (unknown keys are rejected at load when metadata exists).
checks	dict	No (default {})	{provider: [check_ids]}, lowercase keys matching prowler/providers/ dirs. Empty list = manual requirement for that provider.
config_requirements	array	No	Guardrails; each constraint must carry Provider.
tactics, sub_techniques, platforms, technique_url	—	No	MITRE-style extras (auto-populated when adapting legacy MITRE files).

attributes_metadata entry fields (AttributeMetadata)

Field	Type	Notes
key	string (required)	Attribute name as used in requirement.attributes.
label	string	Human-readable label for CSV headers / PDF.
type	string	str (default), int, float, bool, list_str, list_dict. Only int/float/bool are enforced at load; the rest are documentation.
enum	list	Allowed values — enforced at load. Use it whenever the value set is closed.
required	bool	Enforced at load: every requirement must carry the key non-null.
enum_display / enum_order	dict / list	Per-enum-value visual metadata (label, abbreviation, color, icon) and ordering for PDF rendering.
chart_label	string	Axis label when the attribute is used in charts.
output_formats	object	{"csv": bool, "ocsf": bool}, both default true — toggles inclusion per output.

Key rules:

• --compliance key = JSON basename without .json (dora_2022_2554).
• Auto-discovered: no __init__.py, no formatter, no dispatcher registration.
• table_config.group_by, pdf_config.group_by_field and every charts[].group_by must reference a key declared in attributes_metadata.
• Runtime type validation only covers int/float/bool; str/list_str/ list_dict are documentation-only.
• Extending to a new provider = adding a key to requirement.checks. Nothing else.
• No automatic check-existence validation at load time — a typo'd check id silently produces a requirement with no findings. Always run the check-existence cross-check (see Validation).
• In universal files, always set Provider on every config constraint so a guardrail authored for an AWS check never affects Azure/GCP scans of the same requirement.

Legacy Schema Reference

Base legacy file structure:

{
  "Framework": "FRAMEWORK_NAME",
  "Name": "Full Framework Name with Version",
  "Version": "X.X",
  "Provider": "AWS",
  "Description": "Framework description...",
  "Requirements": [
    {
      "Id": "requirement_id",
      "Name": "Optional requirement name",
      "Description": "Requirement description",
      "Attributes": [ ... ],
      "Checks": ["check_name_1"],
      "ConfigRequirements": [ ... ]
    }
  ]
}

Legacy fields, top level (Compliance)

Field	Type	Required	Notes
Framework	string	Yes (non-empty, validated)	Canonical identifier (CIS, ENS, NIST-800-53-Revision-5).
Name	string	Yes (non-empty, validated)	Human-readable name with version.
Version	string	Optional in the model — never leave it empty in practice	Empty Version silently degrades the get_check_compliance() key to "{Framework}" (gotcha #4). Must match the version substring in the filename.
Provider	string	Yes (non-empty, validated)	Upper-cased single provider (AWS, AZURE, GCP, M365, ...). One file = one provider.
Description	string	Yes	Framework scope and purpose.
Requirements	array	Yes	Requirement objects (below), or Mitre_Requirement objects for MITRE files.

Legacy fields, per requirement (Compliance_Requirement)

Field	Type	Required	Notes
Id	string	Yes	Unique within the framework; follow the source numbering exactly (1.1, A.5.1, CCC.Core.CN01.AR01).
Description	string	Yes	Verbatim from the source catalog.
Name	string	No	Optional short title (NIST-style catalogs use it).
Attributes	array of objects	Yes	Parsed against the Union of attribute classes below; only Attributes[0] survives the universal adaptation and drives UI grouping.
Checks	array of strings	Yes	Check ids automating the requirement; [] = manual.
ConfigRequirements	array	No	Guardrails; Provider is omitted (the file is single-provider).

MITRE files use Mitre_Requirement instead, which adds Tactics, SubTechniques, Platforms, TechniqueURL at the requirement top level.

Attribute shapes per framework family

Unlike universal (schema in-file), a legacy requirement's Attributes must match one of the Pydantic classes registered in Compliance_Requirement.Attributes — a shape matching no class silently falls through to Generic, dropping its specific fields. The most common shapes (full field sets in compliance_models.py):

CIS — cis_{version}_{provider}

{
  "Section": "1 Identity and Access Management",
  "SubSection": "Optional subsection",
  "Profile": "Level 1",
  "AssessmentStatus": "Automated",
  "Description": "...", "RationaleStatement": "...", "ImpactStatement": "...",
  "RemediationProcedure": "...", "AuditProcedure": "...",
  "AdditionalInformation": "...", "DefaultValue": "...", "References": "https://..."
}

Profile: Level 1|Level 2|E3 Level 1|E3 Level 2|E5 Level 1|E5 Level 2. AssessmentStatus: Automated|Manual.

ENS — ens_rd2022_{provider}

{
  "IdGrupoControl": "op.acc.1", "Marco": "operacional",
  "Categoria": "control de acceso", "DescripcionControl": "...",
  "Nivel": "alto", "Tipo": "requisito",
  "Dimensiones": ["trazabilidad", "autenticidad"],
  "ModoEjecucion": "automatico", "Dependencias": []
}

Nivel: opcional|bajo|medio|alto. Tipo: refuerzo|requisito|recomendacion|medida. Dimensiones: confidencialidad|integridad|trazabilidad|autenticidad|disponibilidad.

ISO 27001 — iso27001_{year}_{provider}

{
  "Category": "A.5 Organizational controls",
  "Objetive_ID": "A.5.1", "Objetive_Name": "Policies for information security",
  "Check_Summary": "Summary of what is being checked"
}

Note: Objetive_ID / Objetive_Name use this exact (mis)spelling.

MITRE ATT&CK — mitre_attack_{provider} (separate requirement model)

{
  "Name": "Exploit Public-Facing Application", "Id": "T1190",
  "Tactics": ["Initial Access"], "SubTechniques": [],
  "Platforms": ["IaaS"], "Description": "...",
  "TechniqueURL": "https://attack.mitre.org/techniques/T1190/",
  "Checks": ["guardduty_is_enabled"],
  "Attributes": [
    {"AWSService": "Amazon GuardDuty", "Category": "Detect",
     "Value": "Minimal", "Comment": "..."}
  ]
}

AzureService/GCPService for the other providers. Category: Detect|Protect|Respond. Value: Minimal|Partial|Significant.

CCC — ccc_{provider}

{
  "FamilyName": "Data", "FamilyDescription": "...",
  "Section": "CCC.Core.CN01 Encrypt Data for Transmission", "SubSection": "",
  "SubSectionObjective": "...",
  "Applicability": ["tlp-green", "tlp-amber", "tlp-red"],
  "Recommendation": "...",
  "SectionThreatMappings": [{"ReferenceId": "CCC", "Identifiers": ["CCC.Core.TH02"]}],
  "SectionGuidelineMappings": [{"ReferenceId": "NIST-CSF", "Identifiers": ["PR.DS-02"]}]
}

Applicability holds TLP tags (tlp-clear|tlp-green|tlp-amber|tlp-red).

ASD Essential Eight — asd_essential_eight_aws

{
  "Section": "Patch applications", "MaturityLevel": "ML1",
  "AssessmentStatus": "Automated", "CloudApplicability": "partial",
  "MitigatedThreats": ["..."], "Description": "...",
  "RationaleStatement": "...", "ImpactStatement": "...",
  "RemediationProcedure": "...", "AuditProcedure": "...",
  "AdditionalInformation": "...", "References": "..."
}

MaturityLevel: ML1|ML2|ML3. CloudApplicability: full|partial|limited|non-applicable.

DISA STIG — okta_idaas_stig_v1r2_okta

{
  "Section": "...", "Severity": "high", "RuleID": "...", "StigID": "...",
  "CCI": ["CCI-000015"], "CheckText": "...", "FixText": "..."
}

Severity: high|medium|low (maps to CAT I/II/III).

Other registered shapes

• AWS Well-Architected (aws_well_architected_framework_{pillar}_pillar_aws): Name, WellArchitectedQuestionId, WellArchitectedPracticeId, Section, SubSection, LevelOfRisk, AssessmentMethod, Description, ImplementationGuidanceUrl.
• KISA ISMS-P (kisa_isms_p_2023_{provider}): Domain, Subdomain, Section, AuditChecklist, RelatedRegulations, AuditEvidence, NonComplianceCases.
• C5 (c5_{provider}): Section, SubSection, Type, AboutCriteria, ComplementaryCriteria.
• CSA CCM (legacy shape; the shipped CSA CCM 4.0 is universal): Section, CCMLite, IaaS, PaaS, SaaS, ScopeApplicability.
• Prowler ThreatScore (prowler_threatscore_{provider}): Title, Section, SubSection, AttributeDescription, AdditionalInformation, LevelOfRisk (1–5), Weight (1/8/10/100/1000). Pillars: 1 IAM, 2 Attack Surface, 3 Logging and Monitoring, 4 Encryption. Available for aws, azure, gcp, kubernetes, m365, alibabacloud.
• Generic (fallback): ItemId, Section, SubSection, SubGroup, Service, Type, Comment — all optional. Used by NIST, PCI, GDPR, HIPAA, SOC2, FedRAMP, CISA, FFIEC, RBI, NIS2, GxP, SecNumCloud, etc.

Config Guardrails (ConfigRequirements)

Requirements backed by configurable checks can be silently "satisfied" by a loosened audit_config (e.g. CIS demands 45-day unused credentials but the scan ran with max_unused_access_keys_days: 120). Guardrails force such requirements to FAIL:

"ConfigRequirements": [
  {"Check": "iam_user_accesskey_unused",
   "ConfigKey": "max_unused_access_keys_days", "Operator": "lte", "Value": 45}
]

• Operators: lte/gte (numeric thresholds), eq (toggles/exact — use JSON booleans, not 0/1), in (scalar in allowed set), subset (allowlists — widening breaks it), superset (denylists — removing an entry breaks it).
• Value must be the strictest setting the control text tolerates.
• ConfigKey must be spelled exactly as the check reads it; unknown keys are silently skipped (defaults assumed OK).
• Guardrails only tighten (PASS→FAIL), never relax.
• Universal files: lowercase config_requirements + mandatory Provider per constraint.
• Tests: tests/lib/check/compliance_config_eval_test.py, compliance_config_constraint_model_test.py, compliance_config_requirements_data_test.py, plus per-output tests under tests/lib/outputs/compliance/.

---

Workflow A: Sync a Framework With an Upstream Catalog

Use when the framework is maintained upstream (CIS Benchmarks, FINOS CCC, CSA CCM, NIST, ENS, etc.) and Prowler needs to catch up.

Step 1 — Cache the upstream source

Download every upstream file to a local cache so iterations don't hit the network. For FINOS CCC:

mkdir -p /tmp/ccc_upstream
catalogs="core/ccc storage/object management/auditlog management/logging ..."
for p in $catalogs; do
  safe=$(echo "$p" | tr '/' '_')
  gh api "repos/finos/common-cloud-controls/contents/catalogs/$p/controls.yaml" \
    -H "Accept: application/vnd.github.raw" > "/tmp/ccc_upstream/${safe}.yaml"
done

Step 2 — Run the generic sync runner against a framework config

The sync tooling is three layers, so adding a framework only takes a YAML config (plus a parser module for an unfamiliar upstream format):

skills/prowler-compliance/assets/
├── sync_framework.py          # generic runner — works for any framework
├── configs/ccc.yaml           # per-framework config (canonical example)
└── parsers/finos_ccc.py       # parser module for FINOS CCC YAML

python skills/prowler-compliance/assets/sync_framework.py \
       skills/prowler-compliance/assets/configs/ccc.yaml

The runner loads the config, dynamically imports parser.module, calls parse_upstream(config) -> list[dict], then applies generic post-processing (id-uniqueness safety net, FamilyName normalization, legacy check-mapping preservation with config-driven fallback keys) and writes the provider JSONs with Pydantic post-validation.

To add a new framework sync:

1. Write assets/configs/{framework}.yaml (see ccc.yaml). Required sections:
   • framework — name, display_name, version (never empty — the runner refuses to start, because empty Version breaks the get_check_compliance() key), description_template.
   • providers — list of {key, display} pairs.
   • output.path_template — e.g. "prowler/compliance/{provider}/cis_{version}_{provider}.json".
   • upstream.dir — local cache (Step 1).
   • parser.module — module under parsers/; the rest of parser. is passed through opaque.
   • post_processing.check_preservation.primary_key (almost always Id) and fallback_keys — lists of Attributes[0] field names composed into tuples for recovering mappings when ids change. CCC: - [Section, Applicability]; CIS: - [Section, Profile]; NIST: - [ItemId]. List-valued fields are frozen to frozenset automatically.
   • post_processing.family_name_normalization (optional) — raw → canonical map; the UI groups by the exact attribute value, so upstream variants otherwise become separate tree branches.
2. Reuse an existing parser or write parsers/{name}.py implementing parse_upstream(config) -> list[dict] returning Prowler-format requirements with guaranteed-unique ids. The runner raises on duplicates — it never silently renumbers, because mutating a canonical upstream id (CIS 1.1.1, NIST AC-2(1)) would be catastrophic. The parser owns all upstream quirks: foreign-prefix rewriting, genuine collision renumbering, multi-shape handling.

Gotchas the runner already handles (from the FINOS CCC v2025.10 sync):

• Multiple upstream YAML shapes. Most FINOS CCC catalogs use control-families: [...] but storage/object uses top-level controls: [...]. A single-shape parser silently drops entire catalogs — this exact bug dropped ObjStor for a full iteration. Test with one file of each shape.
• Whitespace collapse. Upstream | block scalars keep newlines; Prowler stores single-line. Collapse with " ".join(value.split()).
• Foreign-prefix id rewriting. Upstream aliases requirements across catalogs keeping the original prefix (CCC.AuditLog.CN08.AR01 nested under CCC.Logging.CN03) — rewrite to fit the parent (CCC.Logging.CN03.AR01).
• Genuine upstream collisions. Two different requirements sharing one id (upstream typo): renumber the second to the next free number; check-mapping preservation recovers by the fallback keys.
• Populate Version — fail-fast beats the silent broken-key bug.

Step 3 — Validate before committing

Run the full Validation section below (universal loader + check existence + CLI smoke + pytest).

Step 4 — Add an attribute model if needed

Only if the framework has fields beyond Generic_Compliance_Requirement_Attribute and must stay legacy. Add the class to compliance_models.py and register it in the Compliance_Requirement.Attributes Union before Generic (Generic stays last). For new frameworks, prefer universal attributes_metadata instead.

---

Workflow B: Audit Check Mappings as a Cloud Auditor

Use when the user asks to review existing mappings. This is the highest-value compliance task — it surfaces padded mappings with zero actual coverage and missing mappings for legitimate coverage.

The golden rule

A Prowler check's title/risk MUST literally describe what the requirement text says. "Related" is not enough. If no check actually addresses the requirement, leave the checks list empty (MANUAL) — honest MANUAL is worth more than padded coverage.

Audit process

1. Build a per-provider check inventory — assets/build_inventory.py (writes /tmp/checks_{provider}.json for every provider discovered under prowler/providers/).

2. Query it — assets/query_checks.py (run from the repository root):

   python skills/prowler-compliance/assets/query_checks.py aws encryption transit  # keyword AND-search
   python skills/prowler-compliance/assets/query_checks.py aws --service iam       # all iam checks
   python skills/prowler-compliance/assets/query_checks.py aws --id kms_cmk_rotation_enabled
   

3. Dump a framework section with current mappings — assets/dump_section.py:

   python skills/prowler-compliance/assets/dump_section.py ccc "CCC.Core."
   python skills/prowler-compliance/assets/dump_section.py cis_5.0_aws "1."
   

4. Encode explicit REPLACE decisions — assets/audit_framework_template.py:

   DECISIONS = {}
   DECISIONS["CCC.Core.CN01.AR01"] = {
       "aws": ["cloudfront_distributions_https_enabled", ...],
       "azure": ["storage_secure_transfer_required_is_enabled", ...],
       "gcp": ["cloudsql_instance_ssl_connections"],
       # Missing provider key = leave the legacy mapping untouched
   }
   # Empty list = EXPLICITLY MANUAL (overwrites legacy)
   DECISIONS["CCC.Core.CN01.AR07"] = {"aws": [], "azure": [], "gcp": []}
   

   REPLACE, not PATCH. Full lists make the audit reproducible and surface hidden assumptions in the legacy data.

5. Pre-validate every check id against the inventory; the script MUST abort with stderr listing typos (real audits caught storage_secure_transfer_required_enabled → storage_secure_transfer_required_is_enabled, sqlserver_minimum_tls_version_12 → sqlserver_recommended_minimal_tls_version, and several checks that simply don't exist).

6. Apply + validate + test:

   python /path/to/audit_script.py
   uv run pytest -n auto tests/lib/outputs/compliance/ tests/lib/check/ -q
   

For the curated mapping table (requirement text → AWS/Azure/GCP checks) and the list of controls Prowler genuinely cannot verify, see references/check-mapping-reference.md.

---

Workflow C: Add a New Universal Framework

1. Author prowler/compliance/{framework}_{version}.json following the Universal Schema Reference above (use dora_2022_2554.json or csa_ccm_4.0.json as template).
2. Declare every attribute in attributes_metadata (with required/enum where possible — that's your load-time validation) and a outputs.table_config.group_by.
3. Map checks per provider; add config_requirements (with Provider) for configurable checks; leave empty lists for manual requirements — include every requirement of the source catalog (coverage percentages depend on the full denominator).
4. Validate (section below). No Python registration of any kind is needed for CLI table/CSV/OCSF.
5. Optional first-class UI: mapper in ui/lib/compliance/{framework}.tsx, registration in getComplianceMappers() under the JSON's framework value, detail panel, *AttributesMetadata type, and icon (ordered keyword!). Until then the generic mapper renders it.
6. Optional API extras: CSV exporter entry in COMPLIANCE_CLASS_MAP; PDF generator + FRAMEWORK_REGISTRY entry if a PDF is required.
7. Tests: extend tests/lib/check/universal_compliance_models_test.py with a case loading the new JSON. The parametrized test_loads_as_universal already picks the file up automatically.
8. Changelog fragment prowler/changelog.d/<slug>.added.md + user-guide tutorial under docs/user-guide/compliance/tutorials/ for high-profile frameworks.

Workflow D: Add a New Legacy Output Formatter

Only for new members of an existing legacy family. Follow the c5/ or ccc/ layout exactly:

1. mkdir prowler/lib/outputs/compliance/{framework} with __init__.py.
2. {framework}.py — copy c5/c5.py, change function name + framework string; the diff should be just those lines. No docstring (legacy style).
3. models.py — one Pydantic CSV row model per provider. Column sets differ per provider (AccountId/Region vs SubscriptionId/Location vs ProjectId/Location); per-provider files are the convention — don't collapse them into a parameterized class, reviewers will reject it.
4. {framework}_{provider}.py — {Framework}_{Provider}(ComplianceOutput) with transform(); this file may import Finding.
5. Register:
   • compliance.py → display_compliance_table() elif branch (+ top import).
   • prowler/__main__.py → per-provider elif compliance_name.startswith(...) branches instantiating the writer classes.
   • api/src/backend/tasks/jobs/export.py → COMPLIANCE_CLASS_MAP entries (startswith for families, exact match only for true singletons).
6. Tests under tests/lib/outputs/compliance/{framework}/ + fixtures in tests/lib/outputs/compliance/fixtures.py (1 evaluated + 1 manual requirement to exercise both transform() paths).

Circular import warning: the table file must not import Finding directly or transitively (cycle: compliance.compliance → table → ComplianceOutput → Finding → get_check_compliance → compliance.compliance). Keep it bare; use TYPE_CHECKING/function-local imports where both are genuinely needed.

---

Validation (run before every commit)

1. Schema load (both formats):

   from prowler.lib.check.compliance_models import (
       load_compliance_framework_universal,
       get_bulk_compliance_frameworks_universal,
   )
   fw = load_compliance_framework_universal("prowler/compliance/<file>.json")
   assert fw is not None, "check logs for the ValidationError"
   print(fw.framework, len(fw.requirements), fw.get_providers())
   assert "<file_basename>" in get_bulk_compliance_frameworks_universal("aws")
   

   Remember: the universal loader is lenient (skips broken files with a log line) — an assert fw is not None is mandatory, a green scan is not proof.

2. Check existence — no loader validates this; a stale id is silent dead weight:

   import json
   from pathlib import Path
   for prov in ["aws", "azure", "gcp"]:
       real = {p.stem.replace(".metadata", "")
               for p in Path(f"prowler/providers/{prov}/services").rglob("*.metadata.json")}
       data = json.load(open(f"prowler/compliance/{prov}/<file>.json"))
       refs = {c for r in data["Requirements"] for c in r["Checks"]}
       missing = refs - real
       assert not missing, f"{prov} missing: {missing}"
   

   (For universal files use r.get("checks", {}).get(prov, []) instead — requirements may legitimately omit a provider key.)

3. CLI smoke test:

   uv run python prowler-cli.py <provider> --list-compliance          # appears?
   uv run python prowler-cli.py <provider> --compliance <key> --log-level ERROR
   

   Verify the CSV under output/compliance/, the summary table sections, and the findings roll-up.

4. Tests:

   uv run pytest -n auto tests/lib/check/universal_compliance_models_test.py \
     tests/lib/outputs/compliance/
   

   test_loads_as_universal is parametrized over every JSON in prowler/compliance/ (top-level + subdirectories) — a malformed file fails CI here even if you never wrote a dedicated test.

5. What CI/pre-commit do and don't cover: pre-commit only guarantees well-formed/pretty JSON (check-json, pretty-format-json) — no semantic validation. The workflow .github/workflows/pr-check-compliance-mapping.yml flags PRs adding new checks without mapping them to any framework (label needs-compliance-review; skip with label no-compliance-check). Semantic validation happens in the pytest suite above and manually via skills/prowler-compliance-review/assets/validate_compliance.py (note: that validator assumes the legacy schema).

6. Prowler Local Server: docker compose up and confirm the compliance page renders requirements, sections and widgets.

---

Conventions and Hard-Won Gotchas

1. Universal first. A new framework that starts as legacy needs 3 output files + 3 registrations; the same framework as universal needs zero. Only extend legacy families.
2. Generic_Compliance_Requirement_Attribute stays LAST in the legacy Attributes Union — Pydantic v1 tries members in order; Generic first silently swallows every specific shape.
3. Pydantic v1 everywhere in compliance_models.py (from pydantic.v1 import ...). Don't mix in v2.
4. get_check_compliance() lives in prowler/lib/outputs/compliance/compliance_check.py and keys the dict f"{Framework}-{Version}" only when Version is non-empty. Never ship Version: "" — the key silently degrades to "{Framework}" and breaks filters, tests and --compliance. For legacy files the filename version substring must match Version (the CLI reads compliance_framework.split("_")[1]).
5. Compliance.get_bulk() does not see top-level universal files — only get_bulk_compliance_frameworks_universal() does. Wire new code paths against the universal loader.
6. Loader leniency differs: legacy loader exits the process on a broken JSON; universal loader logs and skips. A missing framework after your edit usually means the universal loader dropped it — check the logs.
7. Circular import protection: legacy table dispatcher files must not import Finding (directly or transitively). Use TYPE_CHECKING or function-local imports when a module needs both sides (that's how the universal formatter does it).
8. Per-provider formatter files are the legacy convention — but know the exceptions before flagging them (iso27001 has no table file, aws_well_architected has no per-provider files, cisa_scuba is googleworkspace-only). CSV model field names are public API.
9. CSV output: ; delimiter, UPPERCASE headers. OCSF compliance output is always generated for universal frameworks regardless of --output-formats.
10. COMPLIANCE_CLASS_MAP mixes predicate styles: startswith for multi-version families, exact == for singletons. When in doubt use startswith — exact match blocked versioned CCC variants until 2026.
11. UI grouping is per-mapper, always on attributes[0]: generic/cis → Section/SubSection, iso → Category, ccc → FamilyName. Inconsistent values (or empty Section) create orphan/duplicate tree branches — normalize before shipping.
12. UI has a generic fallback — an unregistered framework still renders. A dedicated mapper/panel/icon is an upgrade, not a prerequisite.
13. Icon registration is ordered substring matching in IconCompliance.tsx — specific keywords before generic (nist before nis2, cisa before cis, aws last).
14. API PDF pipeline is not PDFConfig-driven yet — it has its own FRAMEWORK_REGISTRY (5 frameworks). Don't assume adding pdf_config to a JSON produces a PDF in Prowler App.
15. Pre-validate every check id against the per-provider inventory before writing JSON. No loader will catch a typo; the requirement just never matches a finding.
16. REPLACE beats PATCH for audit decisions — full explicit lists are reproducible and surface legacy assumptions.
17. When no check applies, MANUAL is correct. Don't pad mappings with tangential checks; compliance reports must stay actionable.
18. Include every requirement of the source catalog, automated or not — compliance percentages use the full requirement count as denominator.
19. Provider coverage is asymmetric (AWS dense; Azure/GCP thinner; new providers minimal). Accept it — don't force parity Prowler can't verify.
20. Guardrail authoring: strictest tolerated Value, exact ConfigKey spelling, Provider mandatory in universal files, booleans as JSON booleans. Malformed constraints are treated as satisfied — validate with the config tests, don't trust silence.

---

Useful One-Liners

# Find duplicate requirement IDs (legacy | universal)
jq -r '.Requirements[].Id' file.json | sort | uniq -d
jq -r '.requirements[].id' file.json | sort | uniq -d

# Count manual requirements (legacy | universal, per provider)
jq '[.Requirements[] | select((.Checks | length) == 0)] | length' file.json
jq '[.requirements[] | select((.checks.aws // [] | length) == 0)] | length' file.json

# List unique check references (legacy | universal)
jq -r '.Requirements[].Checks[]' file.json | sort -u
jq -r '.requirements[].checks[]? | .[]' file.json | sort -u

# Providers covered by a universal framework
jq '[.requirements[].checks | keys[]] | unique' file.json

# Spot inconsistent grouping values (UI tree branches)
jq '[.Requirements[].Attributes[0].Section] | unique' file.json
jq '[.Requirements[].Attributes[0].FamilyName] | unique' file.json

# Requirements with config guardrails (empty arrays are truthy in jq — check length)
jq '[.Requirements[] | select((.ConfigRequirements // []) | length > 0)] | length' file.json

# Diff requirement ids between two versions
diff <(jq -r '.Requirements[].Id' a.json | sort) <(jq -r '.Requirements[].Id' b.json | sort)

# Where is a check mapped across all frameworks?
grep -rl "my_check_name" prowler/compliance/

# Does a check exist?
find prowler/providers/aws/services -name "{check_id}.metadata.json"

# Validate one file with the universal loader
python -c "from prowler.lib.check.compliance_models import load_compliance_framework_universal as l; fw=l('prowler/compliance/aws/cis_7.0_aws.json'); print(fw.framework, len(fw.requirements))"

Commands

prowler {provider} --list-compliance
prowler {provider} --compliance cis_7.0_aws
prowler aws --compliance cis_7.0_aws pci_4.0_aws
prowler aws --compliance dora_2022_2554            # universal key = file basename
prowler aws --list-compliance-requirements cis_7.0_aws
prowler aws --compliance cis_7.0_aws -M csv json html

Code References

Layer 1 — SDK / Core

• prowler/lib/check/compliance_models.py — legacy + universal model trees, Compliance_Requirement_ConfigConstraint, all loaders and the legacy→universal adapter
• prowler/lib/check/compliance.py — update_checks_metadata_with_compliance
• prowler/lib/check/compliance_config_eval.py — guardrail evaluation (shared with the API)
• prowler/lib/outputs/compliance/compliance_check.py — get_check_compliance
• prowler/lib/check/utils.py — list_compliance_modules

Layer 2 — JSON Catalogs

• prowler/compliance/*.json — universal, multi-provider (auto-discovered)
• prowler/compliance/{provider}/ — legacy, per-provider (auto-discovered)

Layer 3 — Output Formatters

• prowler/lib/outputs/compliance/universal/ — universal_table.py, universal_output.py, ocsf_compliance.py
• prowler/lib/outputs/compliance/{framework}/ — legacy per-framework packages
• prowler/lib/outputs/compliance/compliance.py — process_universal_compliance_frameworks, display_compliance_table
• prowler/lib/outputs/compliance/compliance_output.py — ComplianceOutput base + CSV writer
• prowler/__main__.py — universal processing + per-provider legacy writer branches

Layer 4 — API / UI

• api/src/backend/api/compliance.py — LazyComplianceTemplate, LazyChecksMapping, cache warm-up
• api/src/backend/tasks/jobs/export.py — COMPLIANCE_CLASS_MAP
• api/src/backend/tasks/jobs/scan.py — create_compliance_requirements (overview ingestion)
• api/src/backend/tasks/jobs/reports/ — PDF generators + FRAMEWORK_REGISTRY
• ui/lib/compliance/compliance-mapper.ts — mapper routing + generic fallback
• ui/lib/compliance/{framework}.tsx — per-framework mappers
• ui/components/compliance/compliance-custom-details/ — detail panels
• ui/types/compliance.ts — attribute metadata types
• ui/components/icons/compliance/ + IconCompliance.tsx — icons (ordered)

Tests

• tests/lib/check/universal_compliance_models_test.py — includes the parametrized test_loads_as_universal over every shipped JSON
• tests/lib/check/compliance_check_test.py, compliance_config_eval_test.py, compliance_config_constraint_model_test.py, compliance_config_requirements_data_test.py, mitre_config_requirements_test.py
• tests/lib/outputs/compliance/ — per-framework + universal + dispatcher + config-status coverage tests; shared fixtures.py

Resources

• Docs (source of truth for contributors): docs/developer-guide/security-compliance-framework.mdx (both schemas, guardrails, validation, PR process), docs/user-guide/compliance/tutorials/compliance.mdx, docs/user-guide/compliance/tutorials/cross-provider-compliance.mdx
• Repo tooling (util/compliance/): CSV→JSON generators (generate_json_from_csv/), ccc/from_yaml_to_json.py, compliance_mapper/, threatscore/
• Skill assets (assets/):
  • sync_framework.py + configs/ccc.yaml + parsers/finos_ccc.py — config-driven upstream sync (Workflow A)
  • build_inventory.py, query_checks.py, dump_section.py, audit_framework_template.py — audit tooling (Workflow B)
  • Legacy JSON templates: cis_framework.json, ens_framework.json, iso27001_framework.json, mitre_attack_framework.json, prowler_threatscore_framework.json, generic_framework.json
• References: references/compliance-docs.md — model/loader quick reference; references/check-mapping-reference.md — curated requirement-text → checks mapping table + honest-MANUAL list
• Sister skill: prowler-compliance-review — PR review checklist + validate_compliance.py (legacy-schema validator)
• After editing this skill's frontmatter, run ./skills/skill-sync/assets/sync.sh to regenerate the AGENTS.md auto-invoke tables.