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.
npx agentmods add skills/fusengine/agents/prompt-creationnpx skills add fusengine/agents --skill prompt-creationgit clone --depth 1 https://github.com/fusengine/agentsWrote 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/skills/fusengine/agents/prompt-creation)<a href="https://agentmods.dev/skills/fusengine/agents/prompt-creation"><img src="https://agentmods.dev/badge/skills/fusengine/agents/prompt-creation.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 | $0.00035 | $0.00976 |
| Opus 5 | $0.00017 | $0.00488 |
| Sonnet 5 | $0.00007 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
prompt-creation 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
For RAG/retrieval-augmented prompts specifically, see rag-patterns.md; for prompts combining images with text (vision, screenshot-to-code, diagram understanding), see multimodal-prompting.md.
Prompt Creation
Skill for creating high-performance prompts following 2025 best practices and Anthropic conventions.
Documentation
- techniques.md - Structuring techniques (CoT, Few-shot, etc.)
- templates.md - Reusable templates
- rag-patterns.md - Load when: designing a RAG/retrieval-augmented prompt (chunking strategy, context assembly, citation injection, hallucination prevention)
- multimodal-prompting.md - Load when: writing a prompt that combines images/screenshots/diagrams with text (vision+text, screenshot-to-code, diagram understanding)
Anthropic Official Structure (9 Elements)
Each system prompt should cover these 9 aspects:
1. Task Context
# Task Context
You are an expert [ROLE] specializing in [DOMAIN].
Your goal is to [PRIMARY_OBJECTIVE].
2. Tone Context
# Tone
- Tone: [formal/casual/technical/friendly]
- Length: [concise/detailed/adaptive]
- Format: [prose/lists/tables/mixed]
3. Task Description + Rules
# Task Description
Here are important rules:
- Always [MANDATORY_BEHAVIOR]
- Never [FORBIDDEN_BEHAVIOR]
- If [CONDITION] then [ACTION]
If unsure, say "I don't have enough information to answer."
4. Examples (Few-shot)
# Examples
<example>
Input: [STANDARD_CASE_INPUT]
Output: [EXPECTED_OUTPUT]
</example>
<example>
Input: [EDGE_CASE_INPUT]
Output: [EXPECTED_OUTPUT]
</example>
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 149 lines · 35 tokens per session scan A eebd21a35ee2
prompt-creation is a skill published in the GitHub repository fusengine/agents (25 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 976 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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