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 skills add AeonDave/malskill --skill prompt-engineering-patternsgit clone --depth 1 https://github.com/AeonDave/malskillWrote 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/aeondave/malskill/prompt-engineering-patterns)<a href="https://agentmods.dev/skills/aeondave/malskill/prompt-engineering-patterns"><img src="https://agentmods.dev/badge/skills/aeondave/malskill/prompt-engineering-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aeondave/malskill/prompt-engineering-patterns"><img src="https://agentmods.dev/badge/skills/aeondave/malskill/prompt-engineering-patterns.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00168 | $0.02432 |
| Opus 5 | $0.00084 | $0.01216 |
| Sonnet 5 | $0.00034 | $0.00486 |
| Haiku 4.5 | $0.00017 | $0.00243 |
Grade C, and why
prompt-engineering-patterns scanned grade C 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 4d 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.
Instruction-override phrasinghighPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
- Adversarially probe: does an injection payload in the user turn override the system prompt? It should not. 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.
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.
- 4d ago First seen · 167 lines · 168 tokens per session scan C 834e7a8a92b5
prompt-engineering-patterns is a skill published in the GitHub repository AeonDave/malskill (18 stars, last pushed today), with no licence file. It adds 168 tokens to every session and 2,432 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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