mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
907 B
907 B
API Reference — Performing DMARC Policy Enforcement Rollout
Libraries Used
- dnspython (dns.resolver): DNS TXT record queries for DMARC, SPF, DKIM
CLI Interface
python agent.py check --domain example.com
python agent.py audit --domains example.com example.org [--selectors default google k1]
Core Functions
check_dmarc(domain) — Query _dmarc.<domain> TXT
check_spf(domain) — Query domain TXT for v=spf1
check_dkim(domain, selector) — Query <selector>._domainkey.<domain>
audit_domains(domains, selectors) — Full DMARC/SPF/DKIM audit with scoring
DMARC Policy Levels
| Policy | Enforcement | Score |
|---|---|---|
none |
No enforcement (monitoring only) | 0 |
quarantine |
Suspicious mail sent to spam | +20 |
reject |
Unauthorized mail rejected | +40 |
Dependencies
pip install dnspython>=2.4