修复LLM产物

Name: 修复LLM产物
Rating: 5 (3850 reviews)
Author: anderskev

fix-llm-artifacts

by anderskev

Applies fixes from a prior review-llm-artifacts run, with safe/risky classification

3.9kAI 与智能体未扫描2026年4月6日

安装

claude skill add --url https://github.com/openclaw/skills

文档

Fix LLM Artifacts

Apply fixes from a previous review-llm-artifacts run with automatic safe/risky classification.

Usage

code

/beagle-core:fix-llm-artifacts [--dry-run] [--all] [--category <name>]

Flags:

--dry-run - Show what would be fixed without changing files
--all - Fix entire codebase (runs review with --all first)
--category <name> - Only fix specific category: tests|dead-code|abstraction|style

Instructions

1. Parse Arguments

Extract flags from $ARGUMENTS:

--dry-run - Preview mode only
--all - Full codebase scan
--category <name> - Filter to specific category

2. Pre-flight Safety Checks

bash

# Check for uncommitted changes
git status --porcelain

If working directory is dirty, warn:

code

Warning: You have uncommitted changes. Creating a git stash before proceeding.
Run `git stash pop` to restore if needed.

Create stash if dirty:

bash

git stash push -m "beagle-core: pre-fix-llm-artifacts backup"

3. Load Review Results

Check for existing review file:

bash

cat .beagle/llm-artifacts-review.json 2>/dev/null

If file missing:

If --all flag: Run review-llm-artifacts --all --json first
Otherwise: Fail with: "No review results found. Run /beagle-core:review-llm-artifacts first."

If file exists, validate freshness:

bash

# Get stored git HEAD from JSON
stored_head=$(jq -r '.git_head' .beagle/llm-artifacts-review.json)
current_head=$(git rev-parse HEAD)

if [ "$stored_head" != "$current_head" ]; then
  echo "Warning: Review was run at commit $stored_head, but HEAD is now $current_head"
fi

If stale, prompt: "Review results are stale. Re-run review? (y/n)"

4. Partition Findings by Safety

Parse findings from JSON and classify by fix_safety field:

Safe Fixes (auto-apply):

unused_import - Unused imports
todo_comment - Stale TODO/FIXME comments
dead_code_obvious - Obviously unreachable code
verbose_comment - Overly verbose LLM-style comments
redundant_type - Redundant type annotations

Risky Fixes (require confirmation):

test_refactor - Test structure changes
abstraction_change - Class/function extraction
code_removal - Removing functional code
mock_boundary - Test mock scope changes
logic_change - Any behavioral modifications

5. Apply Safe Fixes

If --dry-run:

markdown

## Safe Fixes (would apply automatically)

| File | Line | Type | Description |
|------|------|------|-------------|
| src/api.py | 15 | unused_import | Remove `from typing import List` |
| src/models.py | 42 | verbose_comment | Remove 23-line docstring |
...

Otherwise, spawn parallel agents per category with Task tool:

code

Task: Apply safe fixes for category "{category}"
Files: [list of files with findings in this category]
Instructions: Apply each fix, preserving surrounding code. Report success/failure per fix.

Categories to parallelize:

style - Comments, formatting
dead-code - Imports, unreachable code
tests - Test-related safe fixes
abstraction - Safe refactors

6. Handle Risky Fixes

For each risky fix, prompt interactively:

code

[src/services/auth.py:156] Remove seemingly unused authenticate_legacy() method?
This method has no callers in the codebase but may be used externally.
(y)es / (n)o / (s)kip all risky:

Track user choices:

y - Apply this fix
n - Skip this fix
s - Skip all remaining risky fixes

7. Post-Fix Verification

Detect project type and run appropriate linters:

Python:

bash

# Check if ruff config exists
if [ -f "pyproject.toml" ] || [ -f "ruff.toml" ]; then
    ruff check --fix .
    ruff format .
fi

# Check if mypy config exists
if [ -f "pyproject.toml" ] || [ -f "mypy.ini" ]; then
    mypy .
fi

TypeScript/JavaScript:

bash

# Check for eslint
if [ -f "eslint.config.js" ] || [ -f ".eslintrc.json" ]; then
    npx eslint --fix .
fi

# Check for TypeScript
if [ -f "tsconfig.json" ]; then
    npx tsc --noEmit
fi

Go:

bash

if [ -f "go.mod" ]; then
    go vet ./...
    go build ./...
fi

8. Run Tests

bash

# Python
if [ -f "pyproject.toml" ] || [ -f "pytest.ini" ]; then
    pytest
fi

# JavaScript/TypeScript
if [ -f "package.json" ]; then
    npm test 2>/dev/null || yarn test 2>/dev/null || true
fi

# Go
if [ -f "go.mod" ]; then
    go test ./...
fi

9. Report Results

markdown

## Fix Summary

### Applied Fixes
- [x] src/api.py:15 - Removed unused import `List`
- [x] src/models.py:42-64 - Removed verbose docstring
- [x] src/auth.py:156-189 - Removed dead method (user confirmed)

### Skipped Fixes
- [ ] src/services/cache.py:23 - User declined risky fix
- [ ] tests/test_api.py:45 - Test refactor skipped

### Verification Results
- Linter: PASSED
- Type check: PASSED
- Tests: PASSED (42 passed, 0 failed)

### Diff Summary
```bash
git diff --stat

Cleanup

On successful completion (all verifications pass):

bash

rm .beagle/llm-artifacts-review.json

If any verification fails, keep the file and report:

code

Review file preserved at .beagle/llm-artifacts-review.json
Fix issues and re-run, or restore with: git stash pop

Example

bash

# Preview all fixes without applying
/beagle-core:fix-llm-artifacts --dry-run

# Fix only dead code issues
/beagle-core:fix-llm-artifacts --category dead-code

# Full codebase scan and fix
/beagle-core:fix-llm-artifacts --all

# Fix style issues only, preview first
/beagle-core:fix-llm-artifacts --category style --dry-run

修复LLM产物

安装

文档

Fix LLM Artifacts

Usage

Instructions

1. Parse Arguments

2. Pre-flight Safety Checks

3. Load Review Results

4. Partition Findings by Safety

5. Apply Safe Fixes

6. Handle Risky Fixes

7. Post-Fix Verification

8. Run Tests

9. Report Results

Cleanup

Example

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