ai-verify

ai-verify is a skill for Claude Code from arcasilesgroup/ai-engineering. It costs 162 tokens per session (959 once invoked), scanned A, original, Apache-2.0.

A verification procedure for checking whether code meets its specification and is ready for production, meaning suitable for real users and operations.

In plain words
What is it for?
Use it to run the project’s test and security checks, record what they prove, and evaluate each example or acceptance criterion in the specification.
Why use it?
It prevents readiness claims based only on descriptions by requiring actual commands and their results for each checked condition.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: installed under .agents/ (shared by several agents).

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 skills/arcasilesgroup/ai-engineering/ai-verify
Any agent
npx skills add arcasilesgroup/ai-engineering --skill ai-verify
Clone the repo
git clone --depth 1 https://github.com/arcasilesgroup/ai-engineering

Made for: Claude Code.

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 ai-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-verify.svg)](https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-verify)
Your own site
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-verify"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-verify.svg" alt="Measured on agentmods" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 959 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 5.1 $0.00162 $0.00959
Opus 5 $0.00081 $0.00479
Sonnet 5 $0.00032 $0.00192
Haiku 4.5 $0.00016 $0.00096

Measured 6d ago against content hash 36c05de1f3e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-verify 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 6d 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.

.agents/skills/ai-verify/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Say what ran, and what it proved

What it produces

Two things, never mixed. A production-ready table where every ticked box carries the command that ticked it, and an acceptance table where every example carries its verdict.

Verify — the boxes

  1. Run the repository's own gate and its security lane — whatever CI runs them is the gate, not a recipe name. Paste the output. A summary of a gate is not a gate.
  2. For each of the eight production-ready boxes, write the command that proves it and the output it gave. A box with no command beside it is INCOMPLETE, and that is the answer, not a gap to fill in later.
  3. A box that does not apply says not applicable and why in the same line. Assertion 19 reads what sits beside each tick once the spec is shipped — it skips a draft entirely, which is every spec before it ships, so nothing catches a tick you have not earned except you.
  4. Never tick a box on the strength of a run somebody described. ai-eng spec checkpoint reads receipts and says which of them is about this code; read its answer, not its age.

Validate — the examples

  1. Read the spec's ## Examples somebody can check. ai-eng spec show NNN prints how many Given, When and Then lines it holds and how many name a command with its output, and prints nothing when there is no such section — which is itself the answer, for sixteen of the nineteen specs here. The columns a row needs are in ai-review/references/testing.md — if that reference file is missing, answer INCOMPLETE rather than inventing the columns.
  2. Run each example's command. Mark it PASS when the output matches what the Then says, FAIL when it does not, and INCOMPLETE when the Then names no command — which is most of them, and saying so is the point.
  3. The undecidable example is the one that matters. An example nobody can decide is not a pass and not a failure; report it as the third thing.
  4. Do not repair the example. A Then that turned out to be wrong is a finding for /ai-spec, and rewriting it here is the reader marking their own paper.

Read the full file on GitHub · 75 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 75 lines · 162 tokens per session scan A 36c05de1f3e0

Subscribe to this mod's changes

ai-verify is a skill published in the GitHub repository arcasilesgroup/ai-engineering (54 stars, last pushed 4d ago), licensed Apache-2.0. It adds 162 tokens to every session and 959 once invoked, about $0.0008 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.