prompt-engineer

Guidance for creating, improving, and choosing prompts for AI models. A prompt is the instruction given to an AI system.

In plain words
What is it for?
Use it to write or refine prompts, apply prompt-engineering practices, and compare models for a task.
Why use it?
It helps turn unclear instructions into prompts that better match the intended result and 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/ibutters/claudecodeplugins/prompt-engineer
Any agent
npx skills add iButters/ClaudeCodePlugins --skill prompt-engineer
Clone the repo
git clone --depth 1 https://github.com/iButters/ClaudeCodePlugins

Made for: Claude Code, Codex.

Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,217 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 $0.00155 $0.02217
Opus 5 $0.00077 $0.01108
Sonnet 5 $0.00031 $0.00443
Haiku 4.5 $0.00015 $0.00222

Measured 2d ago against content hash 88789435f58d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prompt-engineer 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 2d 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.

plugins/llm-prompt-optimizer/skills/prompt-engineer/SKILL.md · 257 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. 2d ago First seen · 257 lines · 155 tokens per session scan A 88789435f58d

Subscribe to this mod's changes

prompt-engineer is a skill published in the GitHub repository iButters/ClaudeCodePlugins (3 stars, last pushed 8mo ago), with no licence file. It adds 155 tokens to every session and 2,217 once invoked, about $0.0008 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 2026-08-31.

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