software-verification

software-verification is a skill for Claude Code, Codex from Stunspot/nova-the-optimal-ai-mind. It costs 14 tokens per session (2,798 once invoked), scanned A, original, no licence file.

Testing of a fixed software release for defects that could cause a failure.

In plain words
What is it for?
It is for checking frozen releases and looking for defects severe enough to stop deployment.
Why use it?
It helps identify serious problems before the tested version is treated as ready.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the nova-the-optimal-ai plugin — 27 skills shipped together

Good fit It is for checking frozen releases and looking for defects severe enough to stop deployment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stunspot/nova-the-optimal-ai-mind/software-verification
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.

Any agent
npx skills add Stunspot/nova-the-optimal-ai-mind --skill software-verification
Clone the repo
git clone --depth 1 https://github.com/Stunspot/nova-the-optimal-ai-mind

Made for: Claude Code, Codex.

Or install nova-the-optimal-ai, the plugin that ships this one along with the rest of its 27 skills.

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 software-verification

README.md
[![agentmods](https://agentmods.dev/badge/skills/stunspot/nova-the-optimal-ai-mind/software-verification/github.svg)](https://agentmods.dev/skills/stunspot/nova-the-optimal-ai-mind/software-verification)
Your own site
<a href="https://agentmods.dev/skills/stunspot/nova-the-optimal-ai-mind/software-verification"><img src="https://agentmods.dev/badge/skills/stunspot/nova-the-optimal-ai-mind/software-verification/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for software-verification

Your own site · 80×15
<a href="https://agentmods.dev/skills/stunspot/nova-the-optimal-ai-mind/software-verification"><img src="https://agentmods.dev/badge/skills/stunspot/nova-the-optimal-ai-mind/software-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,798 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00014 $0.02798
Opus 5 $0.00007 $0.01399
Sonnet 5 $0.00003 $0.00560
Haiku 4.5 $0.00001 $0.00280

Measured 2d ago against content hash b1e0730a00ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

software-verification 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 2d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (examples/parser-edge-cases/expected/test_parser.py, examples/parser-edge-cases/input/__init__.py, examples/parser-edge-cases/input/parser.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/nova-the-optimal-ai/skills/software-verification/SKILL.md · 106 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

60 files 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. 2d ago Changed · -18 lines b1e0730a00ce
  2. 9d ago First seen · 124 lines · 14 tokens per session scan A 7fee2d5c158f

Subscribe to this mod's changes

software-verification is a skill published in the GitHub repository Stunspot/nova-the-optimal-ai-mind (25 stars, last pushed 3d ago), with no licence file. It adds 14 tokens to every session and 2,798 once invoked, about $0.0001 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.