pre-check

pre-check is a command for coding agents from windagency/valora.ai. It costs 31 tokens per session (3,655 once invoked), scanned A, original, no licence file.

A command for running code-quality checks before manual review, including linting, type validation, and a security audit. Linting finds common code and style problems, while type validation checks how values are used.

In plain words
What is it for?
Checking code style, type usage, and security risks before a person reviews the changes.
Why use it?
It catches several common issues early and can reduce the amount of work needed during manual review.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/windagency/valora.ai/pre-check
Clone the repo
git clone --depth 1 https://github.com/windagency/valora.ai

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pre-check

README.md
[![agentmods](https://agentmods.dev/badge/commands/windagency/valora.ai/pre-check.svg)](https://agentmods.dev/commands/windagency/valora.ai/pre-check)
Your own site
<a href="https://agentmods.dev/commands/windagency/valora.ai/pre-check"><img src="https://agentmods.dev/badge/commands/windagency/valora.ai/pre-check.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,655 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00031 $0.03655
Opus 5 $0.00015 $0.01827
Sonnet 5 $0.00006 $0.00731
Haiku 4.5 $0.00003 $0.00365

Measured 5d ago against content hash c2e7ec5cb2ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pre-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/valora-plugin-qa/commands/pre-check.md · 554 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 554 lines · 31 tokens per session scan A c2e7ec5cb2ad

Subscribe to this mod's changes

pre-check is a command published in the GitHub repository windagency/valora.ai (24 stars, last pushed 5d ago), with no licence file. It adds 31 tokens to every session and 3,655 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.