marfrit 91ddcb005d docs/PHASE3: review fold-in — security-layer BLOCKERs resolved
Independent review surfaced 3 BLOCKERs + 6 CONCERNs + 7 NITs against
the analyze-tier draft. Resolutions applied:

BLOCKERs:
  B1 Shell-wrapper bypass — static patterns leaked on bash -c, sh -c,
     eval, pipe-to-shell, python -c, xargs|rm. Added 9 wrapper
     patterns to §5. Norris HALTs on any wrapper invocation; user
     reads the inner before proceed. The patterns are the
     conservative floor against the wrapper bypass class.
  B2 LLM second-opinion was self-policing — same model class
     generating actions then judging them. Switched probe model
     from `fast` to `deep` (qwen3-30b). Added re-roll inversion:
     if first probe says NO, ask "is this SAFE?". Disagreement
     between two probes → HALT. Cheap independent-class insurance.
  B3 `is_destructive` would have run on interactive CMD: extraction
     — a PHASE0 §6/§10 substrate amendment in disguise. Resolved
     Q24: heuristic runs ONLY when norris_active == true. No
     substrate change; interactive `confirm_cmd` semantics unchanged.

CONCERNs:
  C1 Skip-budget: consecutive_user_skips counter; 3+ similar skips
     escalate to abort/force-proceed prompt.
  C2 Algorithm-vs-Q25-resolution contradiction: §4 reordered to
     dispatch ALL pending actions before checking GOAL: complete.
  C3 Norris-goal eviction: goal embedded directly in the dynamic
     system-prompt suffix; survives sliding-window eviction.
  C4 Readline use-after-free window: M.bind no longer frees old
     callbacks; pin for process lifetime (bounded memory cost).
  C5 GOAL: complete matcher: line-level scan, exact match after
     trim — substrate-aligned with CMD: rigor.
  C6 §4 step 4 tightened: auto_approve does NOT bypass destructive
     heuristic; tool_call without auto_approve still HALTs even
     when destructive-clear (Norris conservative).

NITs deferred or rolled into pattern table:
  - chown root-path pattern tightened (NIT 2 in-line)
  - Test corpus expansion noted in §12 commit #1 risk
  - Other NITs are wording-level

Status: Plan (review folded). Ready for commit #1 (safety static
patterns) once another review pass clears.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 22:42:58 +00:00

aish

aish — AI-augmented conversational shell.

A single REPL that interleaves shell command execution and language-model conversation, backed by a llama.cpp HTTP broker. Implementation is LuaJIT 2.x with FFI bindings to libcurl, GNU readline, and libc — no C extensions, no build step, one source tree.

Why

Three flows that currently live in three windows fold into one:

  1. "Run this command and show me the output" — fast feedback loop, no copy-paste between terminal and chat.
  2. "Explain or write code based on the output we just looked at" — exec output is automatically injected into the model's context.
  3. "Plan and execute a multi-step task with confirmation gates" — landing in Phase 3 as Chuck Norris autonomous mode.

aish is not a wrapper around bash. It's a first-class interactive environment where the shell is one of several execution channels.

Status

Component State
Repository skeleton in this commit
Phase 0 manifest docs/PHASE0.md — locked
Phase 0 implementation 🔜 next session
Phase 1+ 📋 enumerated in PHASE0.md §11

Every module file currently raises not implemented (Phase 0 pending) when called. luajit main.lua fails loudly at the first un-implemented function, never silently.

Quick orientation

Read this If you want to know
docs/PHASE0.md §12 What aish is and what Phase 0 ships
docs/PHASE0.md §3 Technology decisions (LuaJIT, FFI, readline, libcurl, llama.cpp)
docs/PHASE0.md §4 Directory layout — these file names are stable across all phases
docs/PHASE0.md §5 How input is dispatched (meta / shell / AI)
docs/PHASE0.md §6 Broker contract: /v1/chat/completions, CMD: extraction
docs/PHASE0.md §10 Config schema and resolution order
docs/PHASE0.md §11 Phase sequence (what lands when)
docs/PHASE0.md §13 Open questions, tracked per phase
CLAUDE.md Project conventions for AI-assisted contributors

Directory layout

aish/
├── main.lua              # entry point
├── repl.lua              # readline loop, dispatch, prompt
├── broker.lua            # llama.cpp HTTP client
├── router.lua            # input classifier (meta/shell/AI)
├── executor.lua          # command exec + CMD: extraction
├── context.lua           # in-memory turn history
├── history.lua           # disk persistence (Phase 1+)
├── safety.lua            # destructive-op gate (Phase 3+)
├── renderer.lua          # output formatting
├── config.lua            # default model registry + preferences
├── ffi/
│   ├── curl.lua          # libcurl easy interface
│   ├── readline.lua      # GNU readline
│   ├── pty.lua           # forkpty (Phase 1+)
│   └── libc.lua          # chdir, errno, strerror
└── docs/
    └── PHASE0.md         # locked substrate

Build / runtime dependencies

System packages (Debian / ALARM / Arch names):

  • luajit (>= 2.0)
  • libcurl4 / libcurl-openssl-3 runtime
  • libreadline8 runtime
  • libc6 runtime (always present)

No compilation, no luarocks, no make. Just luajit main.lua.

Running

Once Phase 0 ships:

luajit main.lua                          # uses ~/.config/aish/config.lua
luajit main.lua --config ./config.lua    # explicit config path
AISH_CONFIG=/path/to/config.lua luajit main.lua

Config resolution order is documented in docs/PHASE0.md §10.

Configuration

config.lua is a Lua file returning a single table. The committed config.lua in this repo is both the canonical example and the development-fallback config (lowest precedence). Copy it to ~/.config/aish/config.lua and edit endpoints to your local llama.cpp servers, or point AISH_CONFIG at your own.

The default endpoints assume mfritsche's home network:

  • fastdirac.fritz.box:8081 (Qwen2.5-Coder-7B q4 8k ctx)
  • deepdirac.fritz.box:8080 (Qwen2.5-Coder-7B q4 32k ctx)
  • cloudhossenfelder.fritz.box:8082 (forwards to OpenRouter)

Replace these with your own llama.cpp endpoints if you're not on that LAN.

License

Not yet selected. Default-private until decided.

Project conventions

See CLAUDE.md for contribution conventions, commit style, and the phase-loop discipline this project follows.

S
Description
AI-augmented conversational shell — LuaJIT REPL with llama.cpp broker, shell executor, and routed AI inference.
Readme MIT 2.2 MiB
Languages
Lua 99.8%
Shell 0.2%