v3.6.5: LLM red-teaming (jailbreaks & prompt injection) + Opus 5 / Sonnet 5 / Kimi K3

- Add 12 technique/scenario LLM red-team agents (AI category 18 → 30, total 429):
  jailbreaks — AdvPrefix, PAIR, TAP, Crescendo, many-shot, persona/DAN,
  encoding/obfuscation, refusal-suppression; prompt-injection scenarios — direct,
  indirect (RAG/web/email/tool output), goal hijacking, tool/function-call abuse,
  system-prompt/secret exfiltration. Each runs an attacker→LLM-judge loop
  (baseline refusal → technique across variants → verdict), proving the bypass
  with a benign, redacted receipt. Generated by scripts/build_llm_redteam_v365.py.
- Add REDTEAM_DOCTRINE and inject it into run_ai so every AI test follows the
  baseline→technique→judge method across scenarios.
- Models: add Claude Opus 5 and Sonnet 5 (Anthropic) and a new Moonshot AI (Kimi)
  provider with Kimi K3/K2 (moonshot:kimi-k3, MOONSHOT_API_KEY) — 15 providers.
- Docs: README/TUTORIAL/RELEASE — new AI/LLM red-team engagement mode + section,
  model/env-key tables, agent-library counts (429), badges.

Also includes the v3.6.4 grounding fix (#33) landing on main.

neurosploit-rs/app/src/main.rs

@@ -1,4 +1,4 @@
-//! NeuroSploit v3.6.4 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
+//! NeuroSploit v3.6.5 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
 
 mod repl;
 mod tui;
@@ -11,8 +11,8 @@ use std::path::{Path, PathBuf};
 #[command(
     name = "neurosploit",
     version,
-    about = "NeuroSploit v3.6.4 — multi-model autonomous pentest harness",
-    long_about = "NeuroSploit v3.6.4 — a Rust multi-model harness that drives a pool of LLMs \
+    about = "NeuroSploit v3.6.5 — multi-model autonomous pentest harness",
+    long_about = "NeuroSploit v3.6.5 — a Rust multi-model harness that drives a pool of LLMs \
 (API key or local subscription: Claude/Codex/Gemini/Grok) to autonomously test a target. \
 After recon it INTELLIGENTLY selects only the agents matching the discovered surface, runs \
 them in parallel, then validates every finding by cross-model voting before reporting.\n\n\
@@ -721,7 +721,7 @@ pub(crate) fn spawn_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, mode:
     println!("  │  ua     : {ua}");
     write_status(&workdir, "running", &format!("\"target\":{:?}", cfg.target));
 
-    println!("  ┌─ NeuroSploit v3.6.4  ·  by Joas A Santos & Red Team Leaders");
+    println!("  ┌─ NeuroSploit v3.6.5  ·  by Joas A Santos & Red Team Leaders");
     println!("  │  run id : {run_id}");
     println!("  │  target : {}", cfg.target);
     println!("  │  models : {}", cfg.models.join(", "));

neurosploit-rs/app/src/repl.rs

@@ -1,4 +1,4 @@
-//! NeuroSploit v3.6.4 — interactive session (Claude-Code / Codex / Cursor-CLI style).
+//! NeuroSploit v3.6.5 — interactive session (Claude-Code / Codex / Cursor-CLI style).
 //!
 //! Launched when `neurosploit` runs with no subcommand. A persistent REPL with
 //! real line editing (arrow-key history recall, Ctrl-A/E/K, paste), model
@@ -357,7 +357,7 @@ pub async fn repl(base: &Path) -> anyhow::Result<()> {
     let backends = harness::installed_cli_backends();
     println!("\x1b[1m");
     println!("  ███╗   ██╗███████╗██╗   ██╗██████╗  ██████╗");
-    println!("  ████╗  ██║██╔════╝██║   ██║██╔══██╗██╔═══██╗   NeuroSploit v3.6.4");
+    println!("  ████╗  ██║██╔════╝██║   ██║██╔══██╗██╔═══██╗   NeuroSploit v3.6.5");
     println!("  ██╔██╗ ██║█████╗  ██║   ██║██████╔╝██║   ██║   interactive harness");
     println!("  ██║╚██╗██║██╔══╝  ██║   ██║██╔══██╗██║   ██║   by Joas A Santos");
     println!("  ██║ ╚████║███████╗╚██████╔╝██║  ██║╚██████╔╝   & Red Team Leaders");

neurosploit-rs/app/src/tui.rs

@@ -1,4 +1,4 @@
-//! NeuroSploit v3.6.4 — TUI "Mission Control" mode.
+//! NeuroSploit v3.6.5 — TUI "Mission Control" mode.
 //!
 //! Concurrent panels that update live while the engagement runs in the
 //! background, with a composer input that stays active during execution: