Llm review

LLM Review

Full lifecycle wrapper for local LLM operations. Other skills run LLM bash commands directly in the main conversation — no dedicated agents.

How Other Skills Use This

Calling skills run the bash commands directly using the Bash tool. The typical pattern:

1. Check availability: CRAFT_SCRIPTS=$(find ...) && curl -s --max-time 2 http://127.0.0.1:1234 ... && echo "LLM_AVAILABLE:$CRAFT_SCRIPTS" || echo "LLM_UNAVAILABLE"
2. Run task in background: bash "$CRAFT_SCRIPTS/llm-agent.sh" "<task>" <working-dir> (with run_in_background: true)
3. Unload when done: bash "$CRAFT_SCRIPTS/llm-unload.sh"

Each calling skill has the exact commands inline. This skill serves as the detailed reference.

Task types:

• explore "<task>" <working-directory> — Autonomous investigation (LLM reads files itself, saves the most tokens)
• review <file> "<focus>" — Single-file review (focus positional)
• review <file1> <file2> ... --focus "<focus>" — Multi-file review (use --analyze "<task>" <files...> for task-framed analysis; absorbs the old analyze)

Input

The user input is: $ARGUMENTS

• Task type + arguments: As described above
• File path(s) + focus: /llm-review src/domain/auth/feature/LoginPage.tsx "security"
• Empty: Ask the caller what to review

Process

Step 1: Locate Scripts

The scripts directory is provided at session start (bootstrap context) as craft-skills scripts directory: <path>. Use that path if available. Otherwise fall back to:

CRAFT_SCRIPTS=$(find ~/.claude/plugins -name "llm-agent.sh" -path "*/craft-skills/*" -exec dirname {} \; 2>/dev/null | head -1)

If neither is available, return: "LLM scripts not found — craft-skills plugin may not be installed."

Step 2: Check Availability

curl -s --max-time 2 ${LLM_URL:-http://127.0.0.1:1234} > /dev/null 2>&1 && echo "LLM_AVAILABLE" || echo "LLM_UNAVAILABLE"

If LLM_UNAVAILABLE, return: "LLM_UNAVAILABLE: LM Studio server not running."

Step 3: Run the Task

Note: Scripts auto-detect and fix context length (reload with 64K if loaded with less). No manual check needed.

Choose the script based on task type:

review — file content(s) passed to LLM with thinking mode:

# single file (focus positional)
bash "$CRAFT_SCRIPTS/llm-review.sh" <file-path> "<focus>"
# multiple files (focus as a flag; --analyze "<task>" <files> for task-framed analysis)
bash "$CRAFT_SCRIPTS/llm-review.sh" <file1> <file2> ... --focus "<focus>"

explore — autonomous agent with file access tools (saves the most tokens):

bash "$CRAFT_SCRIPTS/llm-agent.sh" "<task description>" <working-directory>

If the script returns LLM_ERROR or exits non-zero, report the error — do not retry. If the script returns LLM_THINKING_OVERFLOW, report: "Model used all tokens on reasoning. File may be too large for review mode — try explore mode instead."

Step 4: Triage Findings

Before returning findings, filter out known false positives:

• The local model doesn't understand Claude Code plugins, skills, or agent dispatch
• Findings about "missing files" may be false if files exist in the plugin directory
• Focus on: structural issues, logic bugs, type mismatches, architecture violations, consistency

Step 5: Unload Model

bash "$CRAFT_SCRIPTS/llm-unload.sh"

Skip unloading if the caller passes Keep loaded: true — this means another LLM step is expected soon.

Step 6: Return

Return the triaged findings to the caller. Be concise — the caller will triage further against their conversation context.

Configuration

Variable	Default	Description
LLM_URL	http://127.0.0.1:1234	LM Studio server URL
LLM_MODEL	qwen3.6-35b-a3b	Model identifier

Notes

• Thinking mode is enabled by default — fewer false positives
• Context window is set to 64K tokens automatically on load (scripts handle this)
• Typical time: 30-90 seconds for review, 1-3 minutes for explore
• Model uses ~22GB RAM when loaded — always unload when done unless told otherwise