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fix-llm-artifactsFIX LLM artifacts 搜索

Agent Skill

fix-llm-artifacts 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

353

周安装

15

GitHub Stars

54

下载量

124
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fix-llm-artifacts(FIX LLM artifacts 搜索)
来源仓库:https://github.com/existential-birds/beagle
仓库路径:skills/fix-llm-artifacts
安装命令:
npx skills add https://github.com/existential-birds/beagle --skill fix-llm-artifacts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/existential-birds/beagle --skill fix-llm-artifacts

简介

FIX LLM artifacts 自动分类并修复 review-llm-artifacts 输出的测试冗余等问题。

  • 适用于清理由 AI 生成的重复测试、死代码或抽象层级不当的代码片段。
  • 支持 dry-run 预览、全量扫描和按类别(tests/style)过滤操作。
  • 使用前需确认项目无关键变更 pending,避免自动修改破坏现有功能。
  • fix-llm-artifacts 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Fix LLM Artifacts

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

Usage

/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

# Check for uncommitted changes
git status --porcelain

If working directory is dirty, warn:

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

Create stash if dirty:

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

3. Load Review Results

Check for existing review file:

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:

# 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:

## 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:

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:

[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:

# 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:

# 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:

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

8. Run Tests

# 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

## 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

git diff --stat


## Cleanup

On successful completion (all verifications pass):

rm .beagle/llm-artifacts-review.json


If any verification fails, keep the file and report:

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


## Example

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.63%
按下载量换算47

Claude

28.25%
按下载量换算35

Cursor

19.02%
按下载量换算24

Gemini CLI

8.26%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/existential-birds/beagle --skill fix-llm-artifacts 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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