audit-packs-evidence
audit-packs-evidence provides codebase metadata extraction, evidence enrichment, and compliance-specific detection agents for the audit-packs ecosystem.
⚠️ IMPORTANT: This is a sub-package of the
audit-packscompliance mapping toolkit. It is NOT designed to be run as a standalone CLI tool. If you are looking for the main CLI and GitHub Action scanner execution engine, please install and refer to audit-packs.
📦 Installation
Install this package via pip if you are constructing custom evidence collection or developing additional detection agents:
pip install audit-packs-evidence
🛠️ API Surface & Modules
| Module | Key API Exports | Description |
|---|---|---|
audit_packs_evidence.evidence |
enrich(), fetch_pr_context(), evidence_confidence() |
Fetches Git, PR, and local file context to attach cryptographic/audit-ready evidence strings. |
audit_packs_evidence.agents |
GDPRAgent, HIPAAAgent, SOC2Agent, FedRAMPAgent, OrgPolicyAgent, DataFlowAgent, Nist80053Agent |
Framework-specific detection agents running heuristics not coverable by traditional static engines. |
🔍 Specialized Detection Agents
Some compliance controls require auditing codebase configuration states that standard IaC tools do not cover. The package bundles programmatic agents:
Nist80053Agent: Automatically scans configuration manifests (such asrequirements.txt,pyproject.toml,package.json, andCargo.toml) to detect unpinned dependencies and wildcards, mapping findings directly to the NIST SI-2 (Flaw Remediation) control.DataFlowAgent: Runs source-to-sink dependency flow tracing to measure flow-sensitive compliance risks.
📦 Ecosystem Architecture
audit-packs is built as a modular ecosystem consisting of five Python packages:
| Package | PyPI Link | Role | Standalone? |
|---|---|---|---|
audit-packs |
pypi | Main CLI & Action entrypoint | Yes |
audit-packs-core |
pypi | Primitives, diff parsing, normalization | No |
audit-packs-mapping |
pypi | Compliance pack loader & OSCAL exporter | No |
audit-packs-evidence |
pypi | Evidence collectors & heuristic agents | No |
audit-packs-ai |
pypi | LLM consensus & confidence scoring | No |
🔗 Related Resources
- Main GitHub Repository: https://github.com/prakharsingh/audit-packs
- Documentation & Setup: docs/SETUP.md
- Issue Tracker: https://github.com/prakharsingh/audit-packs/issues
📄 License
This library is licensed under the Apache-2.0 License. See the LICENSE file in the main repository for details.
1 maintainer
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