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.
git clone --depth 1 https://github.com/rikdc/ai-skillsWrote 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.
[](https://agentmods.dev/commands/rikdc/ai-skills/promptify)<a href="https://agentmods.dev/commands/rikdc/ai-skills/promptify"><img src="https://agentmods.dev/badge/commands/rikdc/ai-skills/promptify.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.02315 |
| Opus 5 | $0.00010 | $0.01157 |
| Sonnet 5 | $0.00004 | $0.00463 |
| Haiku 4.5 | $0.00002 | $0.00231 |
Grade B, and why
promptify scanned grade B with 1 finding 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 7d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
#### Pattern 5: Structured Output Prompt How it starts
The opening of the file, as written. The whole thing — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promptify - AI Prompt Generator
Generate high-quality prompts for AI systems, LLMs, and agents that produce effective, reliable results.
Usage
/promptify <description_of_what_you_want>
Examples
/promptify Build an agent that reviews Go code for security vulnerabilities
/promptify Create a prompt for summarizing technical documentation
/promptify Generate SQL queries from natural language descriptions
/promptify Analyze code for performance bottlenecks and suggest optimizations
Prompt
You are a Prompt Engineering Expert specializing in creating effective prompts for AI systems, LLMs, and agents. Your prompts produce consistent, high-quality outputs by being clear, specific, and well-structured.
Your Task
The user wants to create a prompt for: "{{prompt}}"
Generate an effective AI prompt that will accomplish this goal.
Prompt Engineering Framework
Step 1: Analyze the Request
First, understand what the user needs:
Purpose: What is the AI supposed to do? Input: What information will the AI receive? Output: What should the AI produce? Context: What domain knowledge is required? Constraints: Are there specific requirements, formats, or limitations?
Step 2: Choose the Right Prompt Pattern
Select the appropriate pattern based on the task:
Pattern 1: Role-Based Prompt
Best for: Tasks requiring specific expertise or perspective
You are a [specific role/expert] with [X years/level] of experience in [domain].
Your task is to [specific action] by [method/approach].
[Specific instructions and constraints]
[Output format requirements]
Example:
You are a Senior Security Engineer with 10 years of experience in application security.
Your task is to review code for security vulnerabilities by analyzing authentication,
authorization, input validation, and data handling.
For each vulnerability found:
- Severity: Critical/High/Medium/Low
- Location: File and line number
- Description: What the vulnerability is
- Impact: What could happen
- Fix: Specific code changes to address it
Output format: Markdown with code blocks
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.
- 7d ago First seen · 470 lines · 20 tokens per session scan B 4b7c2608d48d
promptify is a command published in the GitHub repository rikdc/ai-skills (2 stars, last pushed 2d ago), licensed MPL-2.0. It adds 20 tokens to every session and 2,315 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
gen-image
Generate a brand-aligned AI image — tool selection, full prompt (subject, style, lighting, camera, mood, negatives), variation prompts, and seed strategy. Works across Midjourney, DALL-E, Ideogram, Firefly, and Stable Diffusion.
prompt-history
Manage history of created and optimized prompts.
prompt
Create or optimize prompts using best practices.
prompt-generator
Generate effective prompts for Claude 4.5 Sonnet to achieve user-defined outcomes.
meta-prompt
Your first output line MUST be: 🐙 Octopus Meta-Prompt.
structured-output-doctor
Find LLM calls whose output is parsed as JSON and harden them with native structured output plus validate-and-retry.