Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

161 lines
6.3 KiB
Python

#!/usr/bin/env python3
"""SCA Dependency Scanning with Snyk agent — runs Snyk CLI to test
project dependencies for known vulnerabilities, generates SARIF output,
and enforces quality gates."""
import argparse
import json
import subprocess
from datetime import datetime
from pathlib import Path
def run_snyk_test(project_path: str, severity_threshold: str = "low",
extra_args: list = None) -> dict:
"""Run snyk test and return parsed JSON results."""
cmd = ["snyk", "test", "--json", f"--severity-threshold={severity_threshold}"]
if extra_args:
cmd.extend(extra_args)
try:
result = subprocess.run(cmd, capture_output=True, text=True,
cwd=project_path, timeout=300)
if result.stdout:
return json.loads(result.stdout)
return {"error": result.stderr, "exit_code": result.returncode}
except subprocess.TimeoutExpired:
return {"error": "Snyk test timed out after 300s"}
except FileNotFoundError:
return {"error": "snyk CLI not found. Install: npm install -g snyk"}
except json.JSONDecodeError:
return {"error": "Failed to parse Snyk output", "raw": result.stdout[:2000]}
def run_snyk_monitor(project_path: str) -> dict:
"""Run snyk monitor to create a snapshot for continuous monitoring."""
cmd = ["snyk", "monitor", "--json"]
try:
result = subprocess.run(cmd, capture_output=True, text=True,
cwd=project_path, timeout=300)
if result.stdout:
return json.loads(result.stdout)
return {"error": result.stderr}
except (subprocess.TimeoutExpired, FileNotFoundError, json.JSONDecodeError) as e:
return {"error": str(e)}
def parse_vulnerabilities(snyk_result: dict) -> list[dict]:
"""Extract and normalize vulnerability findings."""
vulns = snyk_result.get("vulnerabilities", [])
findings = []
for v in vulns:
findings.append({
"id": v.get("id", ""),
"title": v.get("title", ""),
"severity": v.get("severity", "unknown"),
"cvss_score": v.get("cvssScore", 0),
"package": v.get("packageName", ""),
"version": v.get("version", ""),
"fixed_in": v.get("fixedIn", []),
"exploit_maturity": v.get("exploit", "Not Defined"),
"is_upgradable": v.get("isUpgradable", False),
"is_patchable": v.get("isPatchable", False),
"from_path": v.get("from", []),
})
return findings
def apply_quality_gate(findings: list[dict], max_critical: int = 0,
max_high: int = 5) -> dict:
"""Apply quality gate based on severity counts."""
counts = {"critical": 0, "high": 0, "medium": 0, "low": 0}
for f in findings:
sev = f.get("severity", "low").lower()
counts[sev] = counts.get(sev, 0) + 1
passed = counts["critical"] <= max_critical and counts["high"] <= max_high
return {
"passed": passed,
"severity_counts": counts,
"gate_criteria": {"max_critical": max_critical, "max_high": max_high},
"reason": "PASS" if passed else f"FAIL: {counts['critical']} critical (max {max_critical}), {counts['high']} high (max {max_high})",
}
def generate_sarif(findings: list[dict], project_path: str) -> dict:
"""Convert findings to SARIF 2.1.0 format for GitHub integration."""
rules = []
results = []
seen_ids = set()
for f in findings:
rule_id = f["id"]
if rule_id not in seen_ids:
rules.append({
"id": rule_id,
"shortDescription": {"text": f["title"]},
"defaultConfiguration": {
"level": "error" if f["severity"] in ("critical", "high") else "warning"
},
})
seen_ids.add(rule_id)
results.append({
"ruleId": rule_id,
"message": {"text": f"{f['title']} in {f['package']}@{f['version']}"},
"level": "error" if f["severity"] in ("critical", "high") else "warning",
})
return {
"$schema": "https://raw.githubusercontent.com/oasis-tcs/sarif-spec/main/sarif-2.1/schema/sarif-schema-2.1.0.json",
"version": "2.1.0",
"runs": [{
"tool": {"driver": {"name": "Snyk", "rules": rules}},
"results": results,
}],
}
def generate_report(project_path: str, severity_threshold: str,
max_critical: int, max_high: int) -> dict:
"""Run full scan and build consolidated report."""
snyk_result = run_snyk_test(project_path, severity_threshold)
if "error" in snyk_result and "vulnerabilities" not in snyk_result:
return {"report": "sca_dependency_scan", "error": snyk_result["error"]}
findings = parse_vulnerabilities(snyk_result)
gate = apply_quality_gate(findings, max_critical, max_high)
sarif = generate_sarif(findings, project_path)
return {
"report": "sca_dependency_scan",
"generated_at": datetime.utcnow().isoformat() + "Z",
"project_path": project_path,
"total_vulnerabilities": len(findings),
"quality_gate": gate,
"unique_packages_affected": len(set(f["package"] for f in findings)),
"upgradable_count": sum(1 for f in findings if f["is_upgradable"]),
"patchable_count": sum(1 for f in findings if f["is_patchable"]),
"findings": findings,
"sarif": sarif,
}
def main():
parser = argparse.ArgumentParser(description="SCA Dependency Scanning with Snyk Agent")
parser.add_argument("--project", required=True, help="Project directory to scan")
parser.add_argument("--severity", default="low", choices=["low", "medium", "high", "critical"])
parser.add_argument("--max-critical", type=int, default=0, help="Max critical vulns for quality gate")
parser.add_argument("--max-high", type=int, default=5, help="Max high vulns for quality gate")
parser.add_argument("--output", help="Output JSON file path")
args = parser.parse_args()
report = generate_report(args.project, args.severity, args.max_critical, args.max_high)
output = json.dumps(report, indent=2)
if args.output:
Path(args.output).write_text(output, encoding="utf-8")
print(f"Report written to {args.output}")
else:
print(output)
if __name__ == "__main__":
main()