skillify

skillify is a skill for Claude Code from DDS-Solutions/AI-TadPole-OS. It costs 37 tokens per session (1,269 once invoked), scanned A, original, MIT.

A workflow for turning repeated multi-step tasks into reusable SKILL.md instructions that other coding agents can follow.

In plain words
What is it for?
Use it to identify recurring work, document its inputs and outputs, and create reusable skills for future projects.
Why use it?
It prevents agents from repeating the same process manually and captures a proven workflow in one reusable place.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to identify recurring work, document its inputs and outputs, and create reusable skills for future projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dds-solutions/ai-tadpole-os/skillify
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 DDS-Solutions/AI-TadPole-OS --skill skillify
Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS

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/dds-solutions/ai-tadpole-os/skillify.svg)](https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/skillify)
Your own site
<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/skillify"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/skillify.svg" alt="Measured on agentmods" 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 1,269 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 $0.01269
Opus 5 $0.00018 $0.00634
Sonnet 5 $0.00007 $0.00254
Haiku 4.5 $0.00004 $0.00127

Measured 4d ago against content hash c50cb15de303, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 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.

.agent/skills/skillify/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] AI Context & Knowledge Heritage

  • Subsystem: Agent Skills Registry / skillify
  • Architecture: @docs ARCHITECTURE:Documentation
  • Failure Path: Information drift, legacy terminology, or documentation mismatch.
  • Observability: Traceability via execution/parity_guard.py ([SKILL])

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

Skill Authoring Rules (L1/L2/L3 Progressive Disclosure Specification):

  1. L1 (Metadata): name MUST be kebab-case ($\le 64$ chars). description MUST be trigger-optimized with specific action keywords ($\le 1024$ chars).
  2. L2 (Instructions): Keep SKILL.md body under 5,000 words focusing purely on procedural instructions. Use bold emphasis for non-negotiable assertions.
  3. L3 (Resources): Offload heavy API schemas or docs to references/, boilerplate to assets/, and fragile execution logic to deterministic scripts in scripts/.
  4. Checkable Completion Criteria: Every step MUST end on an explicit, checkable criterion.

Use this template:

---
name: [kebab-case-name-max-64-chars]
description: [Actionable, trigger-optimized summary describing when to activate this skill, max 1024 chars]
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]
disable-model-invocation: true # Set to true if manually invoked only
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]
[Action-first instructions with **bold emphasis** on strict constraints]

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

### Step N: [Verification]
[Explicit, checkable completion criterion]

## Best Practices
[3-5 key rules]

Read the full file on GitHub · 134 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. 4d ago First seen · 134 lines · 37 tokens per session scan A c50cb15de303

Subscribe to this mod's changes

skillify is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,269 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 2026-09-03.

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