review

# /review — the retention loop Read `skills/_shared/dialogue-grammar.md` (hard rules, confidence integrity, park-and-resume, and the rating map apply here verbatim). Set: ```bash # Resolve the engine. RUN THIS BLOCK VERBATIM — do not substitute a path you guessed. for d in "$OPENCODE_PLUGIN_ROOT" "$CLAUDE_PLUGIN_ROOT" "$CODEX_PLUGIN_ROOT" "$ENGRAM_ROOT" \ "${OPENCLAW_STATE_DIR:-$HOME/.openclaw}/extensions/engram" \ "$HOME/.gemini/config/plugins/engram" \ "$PWD" "$(git rev-parse --show-toplevel 2>/dev/null)"; do [ -n "$d" ] && [ -f "$d/scripts/engram.py" ] && ENGRAM="$d/scripts/engram.py" && break done [ -n "$ENGRAM" ] || echo "engram: engine not found — set ENGRAM_ROOT to your engram checkout" >&2 ``` If none are set, resolve the plugin root as the directory containing `.claude-plugin/plugin.json` (or `.codex-plugin/plugin.json`). **Never inline a learner's answer into a shell command** — pass productions via `--production-file` (or `--production-file -` on stdin); a stray quote or `$(…)` in what they typed would otherwise execute. **Spawning agents.** "Spawn **engram-…**" means a *fresh-context* child running that agent's definition — via your platform's subagent/Task tool (the type may be namespaced, e.g. `engram:engram-assessor`). **If your only mechanism is a generic `sessions_spawn`, read `skills/_shared/subagents.md` first.** ## 1 · Load the queue ```bash python3 "$ENGRAM" stash count # a previous session's ungraded work? python3 "...