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 AgriciDaniel/claude-prompts --skill prompt-enginegit clone --depth 1 https://github.com/AgriciDaniel/claude-promptsWrote 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/agricidaniel/claude-prompts/prompt-engine)<a href="https://agentmods.dev/skills/agricidaniel/claude-prompts/prompt-engine"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-prompts/prompt-engine/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/agricidaniel/claude-prompts/prompt-engine"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-prompts/prompt-engine.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 | $0.00166 | $0.01216 |
| Opus 5 | $0.00083 | $0.00608 |
| Sonnet 5 | $0.00033 | $0.00243 |
| Haiku 4.5 | $0.00017 | $0.00122 |
Grade A, and why
prompt-engine 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Engine -- Ultimate AI Prompt Database and Builder
2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.
Quick Reference
| Command | What it does |
|---|---|
/prompt [query] |
Search prompts by keyword, category, model, or style |
/prompt-build |
Build a custom prompt from scratch with guided workflow |
/prompt-enhance |
Enhance an existing prompt with pro techniques |
/prompt-adapt |
Adapt a prompt for a different AI model |
/prompt-library |
Browse, filter, and explore the full prompt library |
Orchestration Logic
- If user provides a search query or asks to find/search -> run search workflow below
- If user wants to create/build a new prompt -> route to
/prompt-build - If user has an existing prompt to improve -> route to
/prompt-enhance - If user wants to convert between models -> route to
/prompt-adapt - If user wants to browse/explore -> route to
/prompt-library - If ambiguous, show the Quick Reference table and ask
Search Workflow (Default /prompt)
When user provides a search query:
-
Run the search script:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N] -
Present results as a numbered list with:
- Prompt text (truncated to 200 chars for preview)
- Category, model, output type
- Tags/styles if available
-
Let user select a prompt to see full details, or refine their search
Error Handling
- 0 search results: Suggest broadening the query, trying different keywords, or removing filters. Offer to show available categories with
--categories. - Script fails: Verify Python 3.10+ is available (
python3 --version). Check that the database exists at{PROMPT_ENGINE_DIR}/prompts/all_prompts.json. - Empty or short prompt input: For
/prompt-enhanceand/prompt-adapt, ask the user to provide a longer prompt (minimum 30 characters).
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.
- 11d ago First seen · 115 lines · 166 tokens per session scan A 704cf2387513
prompt-engine is a skill published in the GitHub repository AgriciDaniel/claude-prompts (106 stars, last pushed 5mo ago), licensed MIT. It adds 166 tokens to every session and 1,216 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 2026-08-30.
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