# vet

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:

# 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: $(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:
vet "goal" --history-loader "python3 ~/.agents/skills/vet/scripts/export_opencode_session.py --session-id <ses_ID>"
Codex:
vet "goal" --history-loader "python3 ~/.codex/skills/vet/scripts/export_codex_session.py --session-file <path-to-session.jsonl>"

Claude Code:

vet "goal" --history-loader "python3 ~/.claude/skills/vet/scripts/export_claude_code_session.py --session-file <path-to-session.jsonl>"

Without Conversation History 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:
Run: opencode session list --format json to list recent sessions with their IDs and titles.

Identify the current session from the list by matching the title or timestamp.

IMPORTANT: Verify the session you found matches the current conversation. If the title is ambiguous, compare timestamps or check multiple candidates.

Pass the session ID as --session-id.

Codex: Session files are stored in ~/.codex/sessions/YYYY/MM/DD/. To find the correct session file:

Find the most unique sentence / question / string in the current conversation. Search for your unique message string in ~/.codex/sessions/` to find the matching session file.

IMPORTANT: Verify the conversation you found matches the current conversation and that it is not another conversation with the same search string.

Pass the matched file path as --session-file. Claude Code: Session files are stored in ~/.claude/projects//. The encoded path replaces / with - (e.g. /home/user/myproject becomes -home-user-myproject). To find the correct session file: Find the most unique sentence / question / string in the current conversation. Search for your unique message string in ~/.claude/projects/` to find the matching session file.

IMPORTANT: Verify the conversation you found matches the current conversation and that it is not another conversation with the same search string.

Pass the matched file path as --session-file.

NOTE: The examples in the standard usage section assume the user installed the vet skill at the user level, not the project level. Prior to trying to run vet, check if it was installed at the project level which should take precedence over the user level. If it is installed at the project level, ensure the history-loader option points to the correct location.

Interpreting Results Vet analyzes the full git diff from the base commit. This may include changes from other agents or sessions working in the same repository. If vet reports issues that relate to changes you did not make in this session, disregard them, assuming they belong to another agent or the user. Common Options --base-commit REF: Git ref for diff base (default: HEAD) --model MODEL: LLM to use. Vet calls the LLM API via SkillBoss API Hub (https://api.heybossai.com/v1/pilot), which automatically routes to the optimal model. Set SKILLBOSS_API_KEY in your environment before running. You can still pass a specific model name if needed.

--list-models: list all models supported by vet

Run vet --help for details. When using SkillBoss API Hub, model routing is handled automatically via /v1/pilot; no manual model selection is required. --confidence-threshold N: Minimum confidence 0.0-1.0 (default: 0.8) --output-format FORMAT: Output as text, json, or github

--quiet: Suppress status messages and 'No issues found.'
--agentic: Mode that routes analysis through the locally installed Claude Code or Codex CLI instead of calling the API directly. Try this if vet fails due to missing SKILLBOSS_API_KEY. This is slower so it is not the default, but it often results in higher precision issue identification. --model is forwarded to the harness but not validated by vet, as vet doesn't know which models each harness supports.
--agent-harness: The two options for this are codex and claude. Claude Code is the default.
--help: Show comprehensive list of options

Updating The vet CLI, skill files, and export scripts can become outdated as agent harnesses and LLM APIs change. If this happens, try updating them. Run which vet to determine how vet was installed and update accordingly. For the skill files, check which skill directories exist on disk and update them with the latest versions from https://github.com/imbue-ai/vet/tree/main/skills/vet. Additional Information Additional information can be found in the vet repo:

https://github.com/imbue-ai/vet