This release includes breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Topics
+14 more
Summary
AI summarySeverity defaults now map unknown values to UNKNOWN instead of inflating to MEDIUM.
Full changelog
Scanner Accuracy & Robustness
- Severity defaults fixed: All 5 scanner sources (OSV, GHSA, Snyk, local DB, SARIF) now default unknown severity to
UNKNOWNinstead of silently inflating toMEDIUM - EPSS null handling: Missing EPSS data stored as
None(not0.0— which falsely implied "0% exploit risk") - CVSS 0.0 preserved: Legitimate CVSS 0.0 (NONE severity) no longer silently converted to
None - Snyk severity: No more silent inflation from
attrs.get("severity", "medium")
Null/None Handling
- EPSS missing →
None(not0.0) - CVSS
0.0→ preserved (not falsy-converted toNone) - Snyk unknown severity →
UNKNOWN(notMEDIUM) - Severity chart includes NONE and UNKNOWN levels
Tool Count Alignment
- All docs updated from stale 29/30 → 31 MCP tools (pyproject.toml, Dockerfile.sse, THREAT_MODEL.md, site-docs)
ClawHub Publish
- Workflow rewritten with direct API calls (fixes
acceptLicenseTermsserver requirement) - Publishes 5 focused skills:
agent-bom,agent-bom-scan,agent-bom-compliance,agent-bom-registry,agent-bom-runtime - Removed stale
NVD_API_KEYfrom scan skill
DB & Migration
- DB schema migration framework tested (3 new tests)
_cvss_to_severity(None)→"unknown"(not"medium")- NVD + GHSA co-equal DB sources fully wired
Test Coverage
- 6 new severity guard tests across all scanner sources
- 3 DB migration framework tests
- All 6,000+ tests passing
Full Changelog: https://github.com/msaad00/agent-bom/compare/v0.70.5...v0.70.6
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About msaad00/agent-bom
AI supply chain security scanner with 18 MCP tools. Auto-discovers 20 MCP clients, scans dependencies for CVEs (OSV/NVD/EPSS/CISA KEV), maps blast radius from vulnerabilities to exposed credentials and tools, runs CIS benchmarks, generates CycloneDX/SPDX SBOMs, and enforces compliance across OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.
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Beta — feedback welcome: [email protected]