prompt-engineering-patterns

A guide to prompt engineering, the practice of writing instructions for large language models. It focuses on improving the reliability, quality, and control of model responses in production systems.

In plain words
What is it for?
Use it to refine prompts, improve language-model responses, and design reusable prompt templates for production.
Why use it?
It helps address inconsistent or unsuitable model output by improving the instructions and templates sent to the model.

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/ynulihao/agentskillos/prompt-engineering-patterns
Any agent
npx skills add ynulihao/AgentSkillOS --skill prompt-engineering-patterns
Clone the repo
git clone --depth 1 https://github.com/ynulihao/AgentSkillOS

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,431 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 $0.00041 $0.01431
Opus 5 $0.00020 $0.00715
Sonnet 5 $0.00008 $0.00286
Haiku 4.5 $0.00004 $0.00143

Measured 3d ago against content hash ed340d91570e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prompt-engineering-patterns 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 3d 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.

data/skill_seeds/prompt-engineering-patterns/SKILL.md · 202 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 202 lines · 41 tokens per session scan A ed340d91570e

Subscribe to this mod's changes

prompt-engineering-patterns is a skill published in the GitHub repository ynulihao/AgentSkillOS (607 stars, last pushed 5mo ago), with no licence file. It adds 41 tokens to every session and 1,431 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 2026-08-30.

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