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vet

Run vet immediately after ANY logical unit of code changes. Do not batch your changes, do not wait to be asked to run vet, make sure you are proactive.

View Source SKILL.md

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Status

ACTIVE

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PUBLIC

安装方式

直接复制以下提示词，发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 vet 技能。若已安装，则直接安装 vet 技能。

Overview

Skill Key: andrewlaack-collab/vet
Author: andrewlaack-collab
Source Repo: openclaw/skills
Version: -
Source Path: skills/andrewlaack-collab/vet
Latest Commit SHA: a5a6b0aca36d36cbfec2509e54f6970510144903

Extracted Content

SKILL.md excerpt

# Vet

**Run vet immediately after ANY logical unit of code changes. Do not batch changes, do not wait to be asked to run vet, make sure you are proactive.**

Vet reviews git diffs and conversation history to find issues in code changes and conversation history. It is most effective when run frequently with conversation history, which helps it catch misunderstandings between what was requested and what was implemented. Despite this, vet is not a replacement for running tests.

## Installation

Install vet using pip, pipx, or uv:

```bash
# Using pip
pip install verify-everything

# Using pipx
pipx install verify-everything

# Using uv
uv tool install verify-everything

# Verify installation:
vet --help
```

## Running Vet

### Standard Usage

Before running vet, determine the correct Python binary:
```bash
$(command -v python3 || command -v python)
```
Use whichever resolves (prefer `python3`). The examples below use `python3`, substitute `python` if that is what your system provides.

**OpenCode:**
```bash
vet "goal" --history-loader "python3 ~/.agents/skills/vet/scripts/export_opencode_session.py --session-id <ses_ID>"
```

**Codex:**
```bash
vet "goal" --history-loader "python3 ~/.codex/skills/vet/scripts/export_codex_session.py --session-file <path-to-session.jsonl>"
```

**Claude Code:**
```bash
vet "goal" --history-loader "python3 ~/.claude/skills/vet/scripts/export_claude_code_session.py --session-file <path-to-session.jsonl>"
```

**Without Conversation History**
```bash
vet "goal"
```

### Finding Your Session

You should only search for sessions from your coding harness. If a user requests you use a different harness, they are likely referring to vet's agentic mode, not the session.

**OpenCode:** The `--session-id` argument requires a `ses_...` session ID. To find the current session ID:
1. Run: `opencode session list --format json` to list recent sessions with their IDs and titles.
2. Identify the current session from the list by matching the title or ti...

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