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

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1.6 KiB
Markdown

# API Reference — Performing Hash Cracking with Hashcat
## Libraries Used
- **subprocess**: Execute hashcat with various attack modes
- **hashlib**: Generate test hashes (MD5, SHA1, SHA256, SHA512)
- **re**: Pattern matching for hash type identification
- **pathlib**: Read hash files and potfiles
## CLI Interface
```
python agent.py identify --hash <hash_string>
python agent.py identify --file hashes.txt
python agent.py crack --hash-file hashes.txt --mode 0 --attack dictionary --wordlist rockyou.txt [--rules best64.rule]
python agent.py crack --hash-file hashes.txt --mode 1000 --attack brute --mask "?u?l?l?l?d?d?d?s"
python agent.py parse --potfile hashcat.potfile
python agent.py gen --text "password123" --algo sha256
```
## Core Functions
### `identify_hash(hash_string)` — Detect hash type and hashcat mode
Matches against 12 patterns: MD5 (0), SHA1 (100), SHA256 (1400), SHA512 (1700),
NTLM (1000), bcrypt (3200), sha512crypt (1800), md5crypt (500), NetNTLMv2 (5600),
Kerberos TGS (13100), Kerberos AS-REP (18200).
### `run_hashcat(hash_file, mode, attack, wordlist, rules, mask)` — Execute hashcat
Attack modes: `dictionary` (-a 0), `brute` (-a 3), `combinator` (-a 1).
### `parse_hashcat_status(potfile)` — Analyze cracked passwords
Returns length distribution, charset analysis, top passwords from potfile.
### `generate_hash(plaintext, algorithm)` — Create test hashes
Supported: md5, sha1, sha256, sha512.
## Hashcat Mask Charsets
- `?l` lowercase, `?u` uppercase, `?d` digits, `?s` special, `?a` all
## Dependencies
System: hashcat (GPU-accelerated hash cracking)
No Python packages required — standard library only.