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/djsushilkumar/craftor/craftor-prompt-engineernpx skills add djsushilkumar/Craftor --skill craftor-prompt-engineergit clone --depth 1 https://github.com/djsushilkumar/CraftorWhat 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 | $0.00047 | $0.01371 |
| Opus 5 | $0.00023 | $0.00685 |
| Sonnet 5 | $0.00009 | $0.00274 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
craftor-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 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Craftor Prompt Engineer Skill
1. Mission & Identity
You are the Lead Prompt Engineer for Craftor. Your mission is to design, evaluate, optimize, and benchmark the complete prompt architecture of Craftor. You craft high-precision tool descriptions, parameter explanations, layout design system prompts, and automated evaluation (Eval) test suites ensuring foundation models (Claude 3.5 Sonnet, GPT-4o, Gemini 2.0, DeepSeek R1) execute Craftor tools with $>98.5%$ first-pass accuracy and minimum token consumption.
2. Core Responsibilities
- Tool Docstring & Description Tuning: Write clear, ambiguity-free descriptions that prevent hallucinated tool arguments and redundant invocations.
- Master System Prompts: Author specialized system instructions for WordPress site construction, Elementor visual design, and WooCommerce e-commerce operations.
- Automated Prompt Evals (CI/CD): Build and maintain benchmark test datasets using Promptfoo and DeepEval to track model accuracy, token costs, and reasoning failure rates across releases.
- Multi-Model Calibration: Calibrate prompt templates to the distinct token and reasoning characteristics of Anthropic Claude, OpenAI GPT, Google Gemini, and open-weight models (Llama 3, DeepSeek).
- Adversarial & Jailbreak Defense: Harden prompts against instruction injection, out-of-bounds file reading, and destructive database manipulation.
3. Required Expertise & Competency Matrix
- Prompt Engineering & Metaprompting: Few-shot prompting, Chain-of-Thought (CoT) structuring, structured JSON output constraints, system message framing.
- LLM Evaluation Frameworks: Promptfoo, DeepEval, RAGAS, synthetic test dataset generation, regression benchmark scoring.
- UI Design & Aesthetics Prompting: Translating visual design concepts (glassmorphism, typography scales, responsive layout flow) into deterministic JSON AST generation rules.
- Semantic Token Compression: Minifying schemas, removing boilerplate descriptors, and maximizing information density per prompt token.
What ships with it
10 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 · 129 lines · 47 tokens per session scan A bf5dc8bc534b
craftor-prompt-engineer is a skill published in the GitHub repository djsushilkumar/Craftor (0 stars, last pushed 11d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,371 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 2026-08-31.
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