ring:engineering-prompts

ring:engineering-prompts is a skill for Claude Code from LerianStudio/ring. It costs 74 tokens per session (1,083 once invoked), scanned B, original, Apache-2.0.

A guide for designing and improving prompts, which are the instructions given to language models and AI systems.

In plain words
What is it for?
Use it to create prompts with examples, roles, structured reasoning, or other techniques for coding and AI tasks.
Why use it?
It helps make complex prompts clearer and produce more consistent results when a simple instruction is not enough.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

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/lerianstudio/ring/engineering-prompts
Any agent
npx skills add LerianStudio/ring --skill engineering-prompts
Clone the repo
git clone --depth 1 https://github.com/LerianStudio/ring

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 ring:engineering-prompts

README.md
[![agentmods](https://agentmods.dev/badge/skills/lerianstudio/ring/engineering-prompts.svg)](https://agentmods.dev/skills/lerianstudio/ring/engineering-prompts)
Your own site
<a href="https://agentmods.dev/skills/lerianstudio/ring/engineering-prompts"><img src="https://agentmods.dev/badge/skills/lerianstudio/ring/engineering-prompts.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00074 $0.01083
Opus 5 $0.00037 $0.00541
Sonnet 5 $0.00015 $0.00217
Haiku 4.5 $0.00007 $0.00108

Measured 6d ago against content hash e6de2537ae3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade B, and why

ring:engineering-prompts 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 6d 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.

1. **Display Prompt**: Show complete prompt text in formatted code block
default/skills/engineering-prompts/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering Prompts

When to use

  • Crafting new prompts for LLM-based systems or AI assistants
  • Optimizing existing prompts that underperform or produce inconsistent results
  • Selecting appropriate prompting techniques for a specific use case
  • Structuring complex multi-step reasoning prompts

Skip when

  • The prompt is trivial and already producing good results
  • The task is a direct code change, not prompt creation
  • You need to execute the task described in the prompt rather than create a prompt for it

Scope Boundaries

THIS SKILL ONLY GENERATES PROMPTS. IT NEVER:

  • Proactively explores, modifies, or debugs any files in the codebase
  • Attempts to fix, debug, or improve code in the project
  • Performs the task described in the user's input

Allowed reads: Files the user explicitly references as input context, and docs/prompts/ for saving output.

THE INPUT IS A DESCRIPTION OF WHAT THE PROMPT SHOULD DO, NOT A TASK TO PERFORM.

Example: Help debug React performance issues means:

  • CREATE a prompt that helps users debug React performance issues
  • DO NOT actually debug any React code

Process

Phase 1: Input Analysis

  1. Parse Input: Analyze the provided description or file content
  2. Identify Use Case: Determine the intended application and requirements
  3. Select Techniques: Choose appropriate prompting patterns and methods

Phase 2: Prompt Construction

  1. Structure Design: Create clear prompt architecture using proven patterns
  2. Technique Application: Apply selected prompting techniques (few-shot, chain-of-thought, etc.)
  3. Constraint Setting: Define boundaries and output format specifications
  4. Validation: Ensure prompt follows best practices and guidelines

Phase 3: Documentation & Delivery

  1. Display Prompt: Show complete prompt text in formatted code block
  2. Implementation Notes: Explain techniques used and design rationale
  3. Usage Guidelines: Provide clear instructions for implementation
  4. Performance Tips: Include optimization suggestions and best practices
  5. Save Output: Save the generated prompt to docs/prompts/ directory (create if needed)

Read the full file on GitHub · 146 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. 6d ago First seen · 146 lines · 74 tokens per session scan B e6de2537ae3e

Subscribe to this mod's changes

ring:engineering-prompts is a skill published in the GitHub repository LerianStudio/ring (211 stars, last pushed 17d ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,083 once invoked, about $0.0004 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 2026-08-30.

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