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 commands/bl1nk-bot/agent-library/promptsgit clone --depth 1 https://github.com/bl1nk-bot/agent-libraryWrote 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/commands/bl1nk-bot/agent-library/prompts)<a href="https://agentmods.dev/commands/bl1nk-bot/agent-library/prompts"><img src="https://agentmods.dev/badge/commands/bl1nk-bot/agent-library/prompts.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 5.1 | $0.00008 | $0.00429 |
| Opus 5 | $0.00004 | $0.00215 |
| Sonnet 5 | $0.00002 | $0.00086 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
prompts 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 6d 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.
What it actually says
/prompts.chat:prompts
Search for AI prompts on prompts.chat to find the perfect prompt for your task.
Usage
/prompts.chat:prompts <query>
/prompts.chat:prompts <query> --type IMAGE
/prompts.chat:prompts <query> --category coding
/prompts.chat:prompts <query> --tag productivity
- query: Keywords to search for (required)
- --type: Filter by type (TEXT, STRUCTURED, IMAGE, VIDEO, AUDIO)
- --category: Filter by category slug
- --tag: Filter by tag slug
Examples
/prompts.chat:prompts code review
/prompts.chat:prompts writing assistant --category writing
/prompts.chat:prompts midjourney --type IMAGE
/prompts.chat:prompts react developer --tag coding
/prompts.chat:prompts data analysis --category productivity
How It Works
- Calls
search_promptswith your query and optional filters - Returns matching prompts with title, description, author, and tags
- Each result includes a link to view/copy the full prompt on prompts.chat
Getting a Specific Prompt
After finding a prompt you like, use its ID to get the full content:
/prompts.chat:prompts get <prompt-id>
This will retrieve the prompt and prompt you to fill in any variables.
Saving Prompts
To save a prompt to your prompts.chat account (requires API key):
/prompts.chat:prompts save "My Prompt Title" --content "Your prompt content here..."
Improving Prompts
To enhance a prompt using AI:
/prompts.chat:prompts improve "Write a story about..."
This transforms basic prompts into well-structured, comprehensive ones.
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.
- 6d ago First seen · 67 lines · 8 tokens per session scan A 8962b024ae49
prompts is a command published in the GitHub repository bl1nk-bot/agent-library (2 stars, last pushed yesterday), licensed CC0-1.0. It adds 8 tokens to every session and 429 once invoked, about $0.0000 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.
Other commands, from other repositories
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
prompt-show
Display full details of a saved prompt by ID.
ai
Load the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination.
audit-prompt
Evaluate an existing prompt for clarity, effectiveness, and edge cases.
develop-image-prompt.eval
Generates a detailed image generation prompt from a document or content description. Good output: a prompt that is specific, visual, non-abstract, includes style/composition/lighting guidance, and is calibrated to the specified dimensions and style options.
dare-llm-integration
Integração segura e eficiente com LLMs (Gemini, Claude, OpenAI, Ollama) em projetos DARE.