ag-kit: Skill for Claude Code

.agents/skills/skillify/SKILL.md

skillify is a skill for Claude Code from vudovn/ag-kit. It costs 37 tokens per session (805 once invoked), scanned A, original, MIT.

A guide for turning repeated, multi-step workflows into reusable SKILL.md files that coding agents can follow.

In plain words
What is it for?
Use it to spot recurring work, decide whether it belongs in a skill, and create a structured skill file for other agents.
Why use it?
It helps you stop repeating the same process manually and capture useful workflows for reuse across projects.

Skill for Claude Code

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

This is vudovn/ag-kit's own configuration. It tells Claude Code how to work on ag-kit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ag-kit configures →

About the project

AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.

vudovn/ag-kit · 8,199 stars · on GitHub · ag-kit.unikorn.vn

Reuse

Borrowing it

Nothing to install: this file belongs to vudovn/ag-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vudovn/ag-kit/main/.agents/skills/skillify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vudovn/ag-kit

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 skillify

README.md
[![agentmods](https://agentmods.dev/badge/skills/vudovn/ag-kit/skillify/github.svg)](https://agentmods.dev/skills/vudovn/ag-kit/skillify)
Your own site
<a href="https://agentmods.dev/skills/vudovn/ag-kit/skillify"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/skillify/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 skillify

Your own site · 80×15
<a href="https://agentmods.dev/skills/vudovn/ag-kit/skillify"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 805 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00037 $0.00805
Opus 5.5 $0.00015 $0.00322
Sonnet 5.5 $0.00007 $0.00161
Haiku 4.5 $0.00004 $0.00081

Measured 1mo ago against content hash e95a98f0baba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skillify 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 1mo 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/skillify/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skillify — Auto-Create Skills from Workflows

Turn repetitive patterns into reusable skills. If you've done it three times, it should be a skill.

When to Skillify

✅ Good candidates:

  • You've seen the user ask for the same type of work 3+ times
  • A workflow involves 5+ consistent steps
  • The pattern works across different projects
  • Other agents could benefit from this knowledge

❌ Bad candidates:

  • One-off tasks (just do them)
  • Project-specific hacks (use memory instead)
  • Already covered by existing skills (check first)

Skill Creation Protocol

Step 1: Identify the Pattern

What triggers this workflow? (user says X, file type Y, domain Z)
What steps are always the same?
What parts vary between uses?
What's the expected output?

Step 2: Generate SKILL.md

Use this template:

---
name: [kebab-case-name]
description: [One sentence describing what this skill does]
when_to_use: "[When the user asks X, works with Y files, or Z domain. NOT for A.]"
allowed-tools: [Read, Write, Edit, Grep, Glob, Bash — only what's needed]
effort: [low | medium | high]
---

# [Skill Name] — [Short Subtitle]

> [One-line philosophy or principle]

## Overview
[2-3 sentences explaining what this skill enables]

## When to Use
✅ Good for: [list]
❌ Not for: [list]

## Protocol
### Step 1: [First Action]
[Instructions]

### Step 2: [Second Action]
[Instructions]

### Step N: [Verification]
[How to verify the skill worked correctly]

## Best Practices
[3-5 key rules]

Step 3: Place the Skill

.agents/skills/[skill-name]/SKILL.md

Step 4: Verify

  • Frontmatter has all required fields (name, description, when_to_use)
  • when_to_use clearly defines triggers AND exclusions
  • Steps are actionable, not vague
  • Skill doesn't duplicate an existing one

Naming Conventions

Pattern Skill Name Example
Action-based [verb]-[noun] verify-changes, batch-operations
Domain-based [domain]-[aspect] database-design, api-patterns
Tool-based [tool]-patterns tailwind-patterns, prisma-expert

Read the full file on GitHub · 117 lines

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. 1mo ago First seen · 117 lines · 37 tokens per session scan A e95a98f0baba

Subscribe to this mod's changes

skillify is a skill published in the GitHub repository vudovn/ag-kit (8,199 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 805 once invoked, about $0.0001 per session on Opus 5.5. 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.

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