verify

verify is a skill for Claude Code, Codex from kdlbs/kandev. It costs 23 tokens per session (2,148 once invoked), scanned A, original, AGPL-3.0.

A broad local verification audit for a code project. It checks the current work across multiple areas when a full review is specifically needed.

In plain words
What is it for?
Use it when explicitly requested or when fixing review or continuous-integration failures that require wider local verification.
Why use it?
It helps find integration or quality problems that a narrow check may overlook before a change is accepted.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

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 verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdlbs/kandev/verify.svg)](https://agentmods.dev/skills/kdlbs/kandev/verify)
Your own site
<a href="https://agentmods.dev/skills/kdlbs/kandev/verify"><img src="https://agentmods.dev/badge/skills/kdlbs/kandev/verify.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,148 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 $0.00023 $0.02148
Opus 5 $0.00012 $0.01074
Sonnet 5 $0.00005 $0.00430
Haiku 4.5 $0.00002 $0.00215

Measured 4d ago against content hash 0e15e343f755, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 4d 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/verify/SKILL.md · 201 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

2 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. 4d ago First seen · 201 lines · 23 tokens per session scan A 0e15e343f755

Subscribe to this mod's changes

verify is a skill published in the GitHub repository kdlbs/kandev (710 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 23 tokens to every session and 2,148 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.

Related

Other skills, from other repositories

stage-plan

How to turn "here is my material + here's the video I want" into a single, inspectable plan that spans reference images, reference videos, deterministic editing, semantic editing, generation, and composition. The output is project/plan.json — a cross-modal Edit Decision List (EDL) — which the assembler walks.…

Orkas-AI/Orkas · 2 tokens

design-system-importer

Use this when COMPOSE or an AUTO compose segment has any external reference media or style source: a reference image, reference video, DESIGN.md, brand guide, screenshot, existing website, design notes, or an explicit named visual direction.

Orkas-AI/Orkas · 4 tokens

ui-design-source

Use this skill when the user provides Figma material, design-export files, screenshots of design tools, PDFs, JSON, existing HTML, or asks for design-to-HTML/code fidelity. It adapts OpenDesign/Figma handoff discipline for UIDesigner without requiring a live Figma runtime.

Orkas-AI/Orkas · 3 tokens

material-organizer

Organize only the materials the user has already provided or explicitly pointed to. The job is to make messy inputs easier to scan, reuse, archive, or continue from later while preserving source traceability.

Orkas-AI/Orkas · 3 tokens

seo-crawl

Agent-wide core connector rule: when any connected search console is used, discover its operations with listconnectortools and invoke each selected operation through callconnectortool; naming listsites or an analytics operation without the core invocation is not execution.

Orkas-AI/Orkas · 3 tokens

swiftui-dev

Use this skill for SwiftUI development, architecture, structure, performance, and Apple native app profiling. It combines.

Orkas-AI/Orkas · 3 tokens