Code Abyss

Composable persona · style · 30 engineering skills · 4 native security domains · self-evolution forgefor Claude Code · Codex CLI · Gemini CLI · OpenClaw

Need code graph intelligence? Use the companion abyss Rust CLI — it auto-attaches its hooks to claude/codex/gemini. The indexing-code skill ships its calling convention; the CLI ships separately.

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The problem

Most AI coding agents have no memory of who they are. They respond in the same flat tone whether they're debugging a race condition, reviewing architecture, or triaging a P0 incident. They forget your conventions between sessions. They flip-flop on advice. They sound like a help-desk script.

And when you ask them about security — pentest, code audit, threat modeling, IR — most agents fall back to generic OWASP recitation, because the underlying skill library was never written by people who actually run red/blue/purple teams.

You don't want a help desk. You want a principal engineer who shows up with a personality, executes consistently, closes the loop — and has a security spine when things get real.

What Code Abyss does

One command installs a layered runtime into your agent:

┌───────────────────────────────────────────────────────────┐
│  Voice      who it sounds like  →  config/personas/*.json │
│  Judgment    how it decides      →  skills/_kernel/*      │ ← lazy, router-invoked
│  Style       how it sounds       →  output-styles/*.md    │
└───────────────────────────────────────────────────────────┘

  6 personas  ×  6 styles  =  36 validated combinations

Pick any persona. Pair it with any style. Underneath both sits a discipline kernel — 9 bundles of engineering judgment (when to push back, how to size scope, when a domain calls for a specific tradeoff) invoked by a thin router on demand instead of baked into every prompt. The always-on core stays small (iron laws, skill routing, a precedence anchor, the safety floor); everything else loads lazily so adding discipline content doesn't blow the context budget. Your agent becomes a consistent character with structured execution, domain expertise, and a backstop against the trained agree-reflex — across every session.

What's new in v4