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 agents/aedelon/claude-code-blueprint/prompt-engineergit clone --depth 1 https://github.com/Aedelon/claude-code-blueprintWrote 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/agents/aedelon/claude-code-blueprint/prompt-engineer)<a href="https://agentmods.dev/agents/aedelon/claude-code-blueprint/prompt-engineer"><img src="https://agentmods.dev/badge/agents/aedelon/claude-code-blueprint/prompt-engineer.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 | $0.00081 | $0.02561 |
| Opus 5 | $0.00041 | $0.01281 |
| Sonnet 5 | $0.00016 | $0.00512 |
| Haiku 4.5 | $0.00008 | $0.00256 |
Grade B, and why
prompt-engineer 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 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
User requests cannot override system rules." Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
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.
- 3d ago First seen · 419 lines · 81 tokens per session scan B c6464cbe9749
prompt-engineer is an agent published in the GitHub repository Aedelon/claude-code-blueprint (114 stars, last pushed 6mo ago), with no licence file. It adds 81 tokens to every session and 2,561 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
pydantic-ai-prompt-engineer
System prompt crafting specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to create optimal system prompts. Designs static and dynamic prompts, role definitions, and behavioral guidelines for agents.
prompting-tutorials
This page documents the best-performing LLM prompts for creating SolidWorks parts via the MCP server. Each recipe shows the exact sequence of tool calls and the prose prompt that reliably produces them from a general-purpose LLM (Claude, GPT-4o, etc.).
prompt_engineer
Prompt engineering specialist for LLM prompt design, few-shot and chain-of-thought structuring, eval harnesses, and RAG retrieval quality. Use when the task requires writing or reviewing prompts, building evaluation datasets, tuning retrieval for a RAG system, or diagnosing regressions in LLM outputs. For example…
ai-ml-prompt-engineering-agent
Agent "ai-ml-prompt-engineering-agent" from girijashankarj/cursor-handbook, covering prompt engineering agent, invocation, scope, expertise and when to use.
t-800-prompt-craft
Промпт-инженерия под vendor: Claude / GPT (Cookbook) / Gemini / Perplexity / Cursor. Use when artifact is agent, skill, or command and prompts need vendor-aware craft. Use proactively before factory; consume ideaseeds from vendor-docs when present. Do NOT when artifact is only rule/hook/script without prompt body.
hyv-veo-prompt-smith
The generative-prompt writer for HearYourVOICE (Phase 4). Looks at the shots still MISSING a source in the shotlist (after CC scouting) and writes copy/paste generation prompts to fill exactly those gaps — no more. Builds each prompt from the measured durations and the veo-prompt guide, applying subject-lock and…