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

193 lines
6.6 KiB
Python

#!/usr/bin/env python3
"""
GitHub Advanced Security Code Scanning Alert Management
Uses the GitHub REST API to query, triage, and report on CodeQL
code scanning alerts across an organization's repositories.
"""
import json
import os
import sys
import urllib.request
import urllib.error
from datetime import datetime, timedelta
from collections import defaultdict
def get_github_headers(token: str) -> dict:
return {
"Authorization": f"Bearer {token}",
"Accept": "application/vnd.github+json",
"X-GitHub-Api-Version": "2022-11-28",
}
def github_api_get(url: str, token: str) -> list | dict:
headers = get_github_headers(token)
results = []
page = 1
while True:
paginated_url = f"{url}{'&' if '?' in url else '?'}per_page=100&page={page}"
req = urllib.request.Request(paginated_url, headers=headers)
try:
with urllib.request.urlopen(req) as resp:
data = json.loads(resp.read().decode())
if isinstance(data, list):
if not data:
break
results.extend(data)
page += 1
else:
return data
except urllib.error.HTTPError as e:
print(f"HTTP {e.code} for {paginated_url}: {e.read().decode()}")
break
return results
def list_org_repos(org: str, token: str) -> list:
url = f"https://api.github.com/orgs/{org}/repos?type=all"
repos = github_api_get(url, token)
return [r["full_name"] for r in repos if isinstance(r, dict)]
def get_code_scanning_alerts(repo: str, token: str, state: str = "open") -> list:
url = f"https://api.github.com/repos/{repo}/code-scanning/alerts?state={state}"
return github_api_get(url, token)
def categorize_alerts(alerts: list) -> dict:
categories = defaultdict(lambda: defaultdict(int))
for alert in alerts:
rule = alert.get("rule", {})
severity = rule.get("security_severity_level", "unknown")
cwe_tags = [t for t in rule.get("tags", []) if t.startswith("cwe-")]
tool_name = alert.get("tool", {}).get("name", "unknown")
categories["by_severity"][severity] += 1
categories["by_tool"][tool_name] += 1
for cwe in cwe_tags:
categories["by_cwe"][cwe] += 1
return dict(categories)
def calculate_mttr(alerts: list) -> dict:
resolved = [a for a in alerts if a.get("state") == "fixed"]
if not resolved:
return {"total_resolved": 0, "avg_mttr_hours": None}
durations = []
for alert in resolved:
created = datetime.fromisoformat(alert["created_at"].replace("Z", "+00:00"))
fixed = datetime.fromisoformat(
alert.get("fixed_at", alert.get("dismissed_at", "")).replace("Z", "+00:00")
)
durations.append((fixed - created).total_seconds() / 3600)
return {
"total_resolved": len(resolved),
"avg_mttr_hours": round(sum(durations) / len(durations), 1),
"min_mttr_hours": round(min(durations), 1),
"max_mttr_hours": round(max(durations), 1),
}
def generate_org_report(org: str, token: str) -> dict:
repos = list_org_repos(org, token)
report = {
"organization": org,
"generated_at": datetime.utcnow().isoformat() + "Z",
"total_repositories": len(repos),
"repositories_with_scanning": 0,
"total_open_alerts": 0,
"severity_summary": defaultdict(int),
"top_cwes": defaultdict(int),
"repo_details": [],
}
for repo in repos:
alerts = get_code_scanning_alerts(repo, token, state="open")
if not alerts:
continue
report["repositories_with_scanning"] += 1
report["total_open_alerts"] += len(alerts)
categories = categorize_alerts(alerts)
for sev, count in categories.get("by_severity", {}).items():
report["severity_summary"][sev] += count
for cwe, count in categories.get("by_cwe", {}).items():
report["top_cwes"][cwe] += count
closed_alerts = get_code_scanning_alerts(repo, token, state="fixed")
mttr = calculate_mttr(closed_alerts)
report["repo_details"].append(
{
"repository": repo,
"open_alerts": len(alerts),
"severity_breakdown": dict(categories.get("by_severity", {})),
"mttr": mttr,
}
)
report["severity_summary"] = dict(report["severity_summary"])
top_cwes_sorted = sorted(report["top_cwes"].items(), key=lambda x: x[1], reverse=True)[:10]
report["top_cwes"] = dict(top_cwes_sorted)
return report
def print_report(report: dict) -> None:
print(f"\n{'='*60}")
print(f"GHAS Code Scanning Report: {report['organization']}")
print(f"Generated: {report['generated_at']}")
print(f"{'='*60}")
print(f"Total repositories: {report['total_repositories']}")
print(f"Repositories with scanning enabled: {report['repositories_with_scanning']}")
coverage = (
report["repositories_with_scanning"] / report["total_repositories"] * 100
if report["total_repositories"] > 0
else 0
)
print(f"Coverage: {coverage:.1f}%")
print(f"Total open alerts: {report['total_open_alerts']}")
print(f"\nSeverity Summary:")
for sev in ["critical", "high", "medium", "low", "unknown"]:
count = report["severity_summary"].get(sev, 0)
if count > 0:
print(f" {sev.upper():12s}: {count}")
print(f"\nTop CWEs:")
for cwe, count in report.get("top_cwes", {}).items():
print(f" {cwe:15s}: {count}")
print(f"\nRepository Details:")
for repo in sorted(report["repo_details"], key=lambda r: r["open_alerts"], reverse=True):
mttr_str = (
f"{repo['mttr']['avg_mttr_hours']}h" if repo["mttr"]["avg_mttr_hours"] else "N/A"
)
print(f" {repo['repository']:40s} | Open: {repo['open_alerts']:4d} | Avg MTTR: {mttr_str}")
def main():
token = os.environ.get("GITHUB_TOKEN")
if not token:
print("Error: GITHUB_TOKEN environment variable is required")
sys.exit(1)
org = os.environ.get("GITHUB_ORG")
if not org:
print("Error: GITHUB_ORG environment variable is required")
sys.exit(1)
print(f"Fetching code scanning data for organization: {org}")
report = generate_org_report(org, token)
print_report(report)
output_file = f"ghas_report_{org}_{datetime.utcnow().strftime('%Y%m%d')}.json"
with open(output_file, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"\nDetailed report saved to: {output_file}")
if __name__ == "__main__":
main()